Method and device for detecting partial discontinuous transmission (DTX) using channel estimation data
11457502 · 2022-09-27
Assignee
Inventors
- Yaming Luo (Kowloon, HK)
- Yunxiang Yao (Sai Kung, HK)
- Man Wai Kwan (Ma On Shan, HK)
- Xiangyu Liu (Shenzhen, CN)
- Yiu Wing Edwin Chan (Ma On Shan, HK)
- Kong Chau Tsang (Kowloon, HK)
Cpc classification
H04W72/21
ELECTRICITY
H04W72/0453
ELECTRICITY
H04W76/28
ELECTRICITY
H04L5/0048
ELECTRICITY
International classification
Abstract
Described is a method and device for detecting a discontinuous transmission state (DTX) at an uplink control information (UCI) receiver device in a wireless communication system. The method involves receiving a linear block encoded signal on an uplink (UL) at said UCI receiver device and processing the received linear block encoded signal after resource element (RE) dernapping to obtain channel estimation data. The method includes determining from said channel estimation data a DTX metric for one or more selected resource blocks (RBs) and determining if a DTX state has occurred by comparing the determined DTX metric to a calculated, selected, or predetermined threshold.
Claims
1. A method of detecting a discontinuous transmission state (DTX) at an uplink control information (UCI) receiver device in a wireless communication system, the method comprising the steps of: receiving a linear block encoded signal on an uplink (UL) at said UCI receiver device; processing the received linear block encoded signal after resource element (RE) demapping to obtain channel estimation data; determining from said channel estimation data a DTX metric for one or more selected resource blocks (RBs); and determining if a DTX state has occurred by comparing the determined DTX metric to a calculated, selected, or predetermined threshold.
2. The method of claim 1, wherein the channel estimation data comprises raw channel estimation data obtained by multiplying one or more received reference signals by one or more conjugates of corresponding local reference signals.
3. The method of claim 1, wherein the one or more selected RBs are selected based on one or more assumed DTX conditions derived from potential DTX scenarios.
4. The method of claim 3, wherein the one or more assumed DTX conditions comprises an assumption that die one or more selected RBs exhibit a DTX state or comprises an assumption of a number of RBs that are not being validly used due to occurrence of a full or partial DTX state.
5. The method of claim 3, wherein the method is applied iteratively starting with a lowest value of a selected one of the one or more assumed DTX conditions.
6. The method of claim 1, wherein the received linear block encoded signal is processed to obtain channel estimation data prior to the received linear block encoded signal being processed by an equalizer module of said UCI receiver device.
7. The method of claim 6, wherein processing of the received linear block encoded signal is terminated once it is determined that a DTX state has occurred.
8. The method of claim 1, wherein the step of determining from said channel estimation data a DTX metric for one or more selected RBs comprises: determining from said channel estimation data a per-RB DTX metric for each selected RB; and deriving said DTX metric as an overall DTX metric for the selected RBs from the per-RB DTX metrics for the selected RBs.
9. The method of claim 8, wherein the step of determining if a DTX state has occurred comprises comparing said overall DTX metric to the calculated, selected, or predetermined threshold τ modified by a scaling factor S.
10. The method of claim 8, wherein the overall DTX metric is modified by a DTX metric determined for non-selected RBs to provide a ratio {circumflex over (r)} of the overall DTX metric to the DTX metric for the non-selected RBs.
11. The method of claim 10, wherein the step of determining if a DTX state has occurred comprises comparing said ratio {circumflex over (r)} to the calculated, selected, or predetermined threshold τ modified by a scaling factor S.
12. The method of claim 8, wherein the step of determining from said channel estimation data a per-RB DTX metric for a selected RB comprises: obtaining channel estimation measures for the selected RB; and combining the channel estimation measures for the selected RB to obtain the per-RB DTX metric for the selected RB.
13. The method of claim 12, wherein the channel estimation measures for the selected RB are derived from one or more dimensions of the selected RB.
14. The method of claim 13, wherein the one or more dimensions comprise one or more of a temporal dimension, a frequency dimension, and a spatial dimension.
15. The method of claim 14, wherein the temporal dimension relates to orthogonal frequency division multiplexing (OFDM) symbols of the selected RB, the frequency dimension relates to demodulation reference signal (DMRS) subcarriers of the selected RB and the spatial dimension relates to receive antennas for the selected RB.
16. The method of claim 14, wherein the step of combining the channel estimation measures for the selected RB to obtain the per-RB DTX metric for the selected RB comprises: (i) determining a sum or mean of the channel estimation measures over the temporal and frequency dimensions; (ii) determining a sum of a square of the magnitude of the channel estimation measures over the spatial dimension; and combining (i) and (ii) to derive the per-RB DTX metric for the selected RB.
17. The method of claim 8, wherein the step of deriving the overall DTX metric from the per-RB DTX metrics for the selected RBs comprises: combining said per-RB DTX metrics for the selected RBs to obtain one or more of: (i) sum or mean value of the channel estimation measures of the selected RBs or the magnitudes of the per-RB DTX metrics for the selected RBs; (ii) sum or mean value of the square or power of the channel estimation measures of the selected RBs or the magnitudes of the per-RB DTX metrics for the selected RBs; and (iii) moment of the combined per-RB DTX metrics.
18. The method of claim 1, wherein the method if combined with other method of determining if a DTX state has occurred.
19. An uplink control information (UCI) receiver in a wireless communication system, the UCI receiver device comprising: a memory staling machine-readable instructions; and a processor for executing the machine-readable instructions such that, when the processor executes the machine-readable instructions, it configures the UCI receiver device to: process a received linear block encoded signal after resource element (RE) demapping to obtain channel estimation data; determine from said channel estimation data a DTX metric for one or more selected resource blocks (RBs); and determine if a DTX state has occurred by comparing the determined DTX metric to a calculated, selected, or predetermined threshold.
20. A non-transitory computer-readable medium storing machine-readable instructions, wherein, when the machine-readable instructions are executed by a processor of a UCI receiver device in a wireless communication system, they configure the processor to: process a received linear block encoded signal after resource element (RE) demapping to obtain channel estimation data; determine from said channel estimation data a DTX metric for one or more selected resource blocks (RBs); and determine if a DTX state has occurred by comparing the determined DTX metric to a calculated, selected, or predetermined threshold.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
(1) The foregoing and further features of the present invention will be apparent from the following description of preferred embodiments which are provided by way of example only in connection with the accompanying figures, of which:
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DESCRIPTION OF THE PREFERRED EMBODIMENTS
(12) The following description is of preferred embodiments by way of example only and without limitation to the combination of features necessary for carrying the invention into effect.
(13) Reference in this specification to “one embodiment” or “an embodiment” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the invention. The appearances of the phrase “in one embodiment” in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Moreover, various features are described which may be exhibited by some embodiments and not by others. Similarly, various requirements are described which may be requirements for some embodiments, but not other embodiments.
(14) It should be understood that the elements shown in the FIGS, may be implemented in various forms of hardware, software or combinations thereof. These elements may be implemented in a combination of hardware and software on one or more appropriately programmed general-purpose devices, which may include a processor, memory and input/output interfaces.
(15) The present description illustrates the principles of the present invention. It will thus he appreciated that those skilled in the art will be able to devise various arrangements that, although not explicitly described or shown herein, embody the principles of the invention and are included within its spirit and scope.
(16) Moreover, all statements herein reciting principles, aspects, and embodiments of the invention, as well as specific examples thereof, are intended to encompass both structural and functional equivalents thereof. Additionally, it is intended that such equivalents include both currently known equivalents as well as equivalents developed in the future, i.e., any elements developed that perform the same function, regardless of structure.
(17) Thus, for example, it will be appreciated by those skilled in the an that the block diagrams presented herein represent conceptual views of systems and devices embodying the principles of the invention.
(18) The functions of the various elements shown in the figures may be provided through the use of dedicated hardware as well as hardware capable of executing software in association with appropriate software. When provided by a processor, the functions may be provided by a single dedicated processor, by a single shared processor, or by a plurality of individual processors, some of which may be shared. Moreover, explicit use of the term “processor” or “controller” should not be consulted to refer exclusively to hardware capable of executing software, and may implicitly include, without limitation, digital signal processor (“DSP”) hardware, read-only memory (“ROM”) for storing software, random access memory (“RAM”), and non-volatile storage.
(19) In the claims hereof, any element expressed as a means for performing a specified function is intended to encompass any way of performing that function including, for example, a) a combination of circuit elements that performs that function or b) software in any form, including, therefore, firmware, microcode or the like, combined with appropriate circuitry for executing that software to perform the function. The invention as defined by such claims resides in the fact that the functionalities provided by the various recited means are combined and brought together in the manner which the claims call for. It is thus regarded that any means that can provide those functionalities are equivalent to those shown herein.
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(21) By way of illustrating one of the technical problems addressed by the present invention, reference is now made to
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(24) The invention is therefore directed to solving at least the aforementioned technical problem by providing a method and a device in the form of a UCI receiver device to detect a partial DTX state by distinguishing a partial DTX signal from a non-DTX signal.
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(26) The UCI receiver 100 may comprise a plurality of functional blocks for performing various functions thereof. For example, the UCI receiver 100 includes receiver module 110 providing received signal processing and configured to provide received signals and/or information extracted therefrom to functional block module(s) 120 such as may comprise various data sink, control element(s), user interface(s), etc. Although receiver module 110 is described as providing received signal processing, it will he appreciated that this functional block may be implemented as a transceiver providing both transmitted and received signal processing. Irrespective of the particular configuration of receiver 110, embodiments include signal detection module 130 disposed in association with the receiver module 110 for facilitating accurate processing and/or decoding of a received channel signal in accordance with the invention. Channel signals may be received via an antenna module 105.
(27) Although the signal detection module 130 is shown as being deployed as part of the receiver module 110 (e.g., comprising a portion of the receiver module control and logic circuits), there is no limitation to such a deployment configuration according to the concepts of the invention. For example, the signal detection module 130 may be deployed as a functional block of UCI receiver device 100 that is distinct from, but connected to, receiver module 110. The signal detection module 130 may, for example, be implemented using logic circuits and/or executable code/machine readable instructions stored in a memory 140 of the UCI receiver device 100 for execution by a processor 150 to thereby perform functions as described herein. For example, the executable code/machine readable instructions may be stored in one or more memories 140 (e.g., random access memory (RAM), read only memory (ROM), flash memory, magnetic memory, optical memory or the like) suitable for storing one or more instruction sets (e.g., application software, firmware, operating, system, applets, and/or the like), data (e.g., configuration parameters, operating parameters and/or thresholds, collected data, processed data, and/or the like), etc. The one or more memories 140 may comprise processor-readable memories for use with respect to one or mare processors 150 operable to execute code segments of signal detection module 130 and/or utilize data provided thereby to perform functions of the signal detection module 130 as described herein. Additionally, or alternatively, the signal detection module 130 may comprise one or more special purpose processors (e.g., application specific integrated circuit (ASIC), field programmable gate array (FPGA), graphics processing unit (GPU), and or the like configured to perform functions of the signal detection module 130 as described herein.
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(29) In a first step 305 of the method 300, the signal detection module 130 determines a DTX metric for the received UL UCI signal from the channel estimation data. The channel estimation data preferably comprise raw channel estimation data obtained by multiplying one or more received reference signals by one or more conjugates of corresponding local reference signals of the received UL UCI signal. Step 305 preferably comprises the signal detection module 130 determining said DTX metric for one or more selected RBs of the received UL UCI signal. The one or more selected RBs preferably comprise the one or more RBs that are not being validly used due to occurrence of a full or partial DTX state, i.e., the one or more dropped RBs. Preferably also, the received UL UCI signal is processed to obtain the channel estimation data prior to the received UL UCI signal being processed by the equalizer module 202 of said UCI receiver device 100/200.
(30) In a second decision step 310, the signal detection module 130 compares the DTX metric for the received UL UCI signal derived from the channel estimation data to a calculated, selected, or predetermined threshold τ to determine if a full or partial DTX state has occurred. Preferably, the threshold τ used in the comparison step 310 is a scaled threshold, being scaled by a scaling factor S to provide a scaled threshold value S.Math.τ for step 310. Preferably, the scaled threshold value S.Math.τ is a product of a normalized threshold τ and the scaling factor S. The determination of the scaling factor S is described hereinbelow.
(31) If, at decision step 310, it is determined that the DTX metric for the received UL UCI signal derived from the channel estimation data is less than or equal to the scaled threshold value S.Math.τ then, at step 315, the signal detection module 130 outputs an indication that a DTX state is detected in the received UL UCI signal. In such case, processing of the received UL UCI signal can be terminated. An advantage of the method 300 is that, where a DTX state in the received UL UCI signal is detected, processing of said received UL UCI signal can he terminated very early in the signal process compared to, for example, a UCI receiver device being operated in a conventional manner. In this instance, the method 300 enables processing of the received UL UCI signal to be terminated prior to said signal being processed in the equalizer module 202.
(32) If, however, at decision step 310, it is determined that the DTX metric for the received UL UCI signal derived from the channel estimation data is greater than the scaled threshold value S.Math.τ then the signal detection module 130 continues processing of the received UL UCI signal in a conventional manner or in accordance with other methods of detecting a full or partial DTX state as described in applicant's pending applications incorporated herein by way of reference. In the conventional case, the signal detection module 130 continues processing of the received UL UCI signal by next processing said received UL UCI signal in the equalizer module 202 in a known manner to provide an equalized signal. The equalized signal is then demodulated, again in a known manner, by a demodulation module 204 which outputs soft bits comprising a demodulated soft bit SEQ to a descrambling module 206, The descrambled soft bit SEQ is inputted to a rate de-matching module 212 which processes the descrambled soft bit SEQ in a known manner to output a de-matched soft bit SEQ to a decoder module 214 which, also in a known manner, generates UCI ACK/NACK bits. In the unconventional manner of continuing processing of the received UL UCI signal, the signal detection module 130 may, for example, be configured to implement the method of pending utility patent application Ser. No. 17/141,725 where the DTX detection method is implemented by processing the descrambled soft hit SEQ to distinguish whether the received UCI signal is a partial or full DTX signal or a non-DTX signal. If the determination is in the affirmative, then processing of the received UL UCI signal may be terminated, but, if the determination is negative, then the descrambled soft bit SEQ of the UL UCI signal may be inputted to the rate de-matching module 212 which processes the descrambled soft bit SEQ in a known manner to output a de-matched soft bit SEQ to a decoder module 214 which, also in a known manner, generates UCI ACK/NACK bits.
(33) It will be appreciated therefore that the method of the invention can be implemented in a conventional UCI receiver device through any of software, firmware and/or hardware changes to the conventional UCI receiver device and is preferably implemented only by way of software changes.
(34) It is preferred that the first step 305 of the method 300 for determining a DTX metric for the received UL UCI signal from the channel estimation data is modified as illustrated by
(35) Referring to
(36) The method step 410 of determining a per-RB DTX metric for a selected RB is preferably into a first sub-step 410A of obtaining channel estimation measures for the selected
(37) RB and a second sub-step 410B of combining the channel estimation measures for the selected RB to obtain the per-RB DTX metric for the selected RB.
(38) In one embodiment, sub-step 410B may comprise any one or more of the following: obtaining: (i) the sum or mean value of the channel estimation measures of the selected RB or the magnitude of the channel estimation measures of the selected RB; (ii) the sum or mean value of the square or power of the channel estimation measures of the selected RB or the magnitude of the channel estimation measures of the selected RB; and (iii) the moment of the channel estimation measures of the selected RB.
(39) In another embodiment, sub-step 410A may he achieved by deriving the channel estimation measures for the selected RB for a number of dimensions of the selected RB. The number of dimensions may comprise one or more of a temporal dimension, a frequency dimension, and a spatial dimension. The temporal dimension preferably relates to OFDM symbols of the selected RB, the frequency dimension preferably relates to demodulation reference signal (DMRS) subcarriers of the selected RB, and the spatial dimension preferably relates to receive antennas for the selected RB.
(40) Defining the temporal dimension as “Dim 1” for OFDM symbols (l=0, 1, . . . L-1)), the frequency dimension as “Dim 2” for DMRS subcarriers (k=0, 1, 2, 3) where k denotes the index of the four DMRS subcarriers in the selected RB, and defining the spatial dimension as “Dim 3” for the receive antennas (n=0, 1, . . . N-1), any of the channel estimation measures for Dim 1, Dim 2 and/or Dim 3 for the selected RB may be derived from the following equation:
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(42) where h.sub.nkl(m) comprises the raw channel estimation data;
(43) and m is the RB index of the selected RB.
(44) For Dim 2, the frequency dimension, the selected RB contains four DMRS subcarriers (k=0, 1, 2, 3) where each subcarrier for the n-th antenna in the l-th OFDM symbol corresponds to one raw channel estimate value h.sub.nkl(m).
(45) Once the channel estimation measures for the one or more dimensions Dim 1, Dim 2, and Dim 3 of the selected RB have been obtained in sub-step 410A, the method involves combining, in sub-step 410B, the channel estimation measures to obtain the per-RB DTX metric for the selected RB. The sub-step 410B of combining the channel estimation measures may comprise: (i) determining a sum or mean of the channel estimation measures over the temporal and frequency dimensions Dim 1, Dim 2; (ii) determining a sum of a square of the magnitude of the channel estimation measures over the spatial dimension Dim 3; and combining (i) and (ii) to derive the per-RB DTX metric for the selected RB.
(46) Once the per-RB DTX metric for each of the selected RBs have been obtained, the method 400 proceeds to step 415 of deriving the overall DTX metric from the per-RB DTX metrics for the selected RBs.
(47) In one embodiment, step 415 comprises deriving the overall DTX metric from the per-RB DTX metrics for the selected RBs by combining said per-RB DTX metrics for the selected RBs to obtain one or more of: (i) sum or mean value of the channel estimation measures of the selected RBs or the magnitudes of the per-RB DTX metrics for the selected RBs; (ii) sum or mean value of the square or power of the channel estimation measures of the selected RBs or the magnitudes of the per-RB DTX metrics for the selected RBs; and (iii) moment of the combined per-RB DTX metrics.
(48) In one embodiment comprising a first option, the overall DTX metric denoted as {circumflex over (D)} comprises a low complexity option of combining the per-RB DTX metrics for the selected RBs according to the equation:
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(50) where M RBs are used for PUCCH; and
(51) where M.sub.DTX is the number of selected or dropped RBs.
(52) This option for determining an overall DTX metric {circumflex over (D)} is more suited for detecting a full. DTX state, but it is less computationally complex to implement than a second option as hereinafter described.
(53) The overall DTX metric {circumflex over (D)} of the first option follows a chi-square distribution with a degree of freedom defined by M.sub.DTX.Math.N, i.e., x.sup.2(M.sub.DTX.Math.N). Thus:
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(55) Given that the noise is h.sub.nkl(m)˜CN(0,β.sup.2), the above equation can be resolved to:
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(57) For the first option where the overall DTX metric is to be compared to the scaled threshold value S.Math.τ in decision step 420 to detect the presence of a DTX state in the received UL UCI signal, the scaling factor S is determined from:
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(59) where σ.sup.2 is the estimated noise power or variance of the received UL UCI signal;
(60) M.sub.DTX is the number of RBs that are dropped due to DTX; and
(61) L is the number of OFDM symbols;
(62) and the normalized DTX threshold τ is determined from:
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(64) where N is the number of antennas;
(65) Pr is the target false alarm rate (FAR);
(66) gammaincinv(l-Pr) comprises the inverse function of the incomplete gamma function.
(67) For this embodiment comprising the first option for step 415, the scaling factor S is simple to calculate and can therefore be calculated on the fly as and when called. However, it is preferred to predetermine the threshold r which, because it is independent of any specific realization, can be determined in advance and stored it in, for example, a lookup table (LUT) in the memory 140 of the UCI receiver 100/200.
(68) The final step 420 of the method 400 for this embodiment of the method comprises comparing overall DTX metric {circumflex over (D)} to the scaled threshold value S.Math.τ such that where {circumflex over (D)}≤S.Math.τ, then output a DTX state signal or where where {circumflex over (D)}>S.Math.τ, then determine that no DTX state has occurred.
(69) In another embodiment comprising the second option, improvements in detecting a partial DTX state can be obtained by first determining a DTX metric {tilde over (D)} for non-DTX RBs, i.e., RBs validly used even on the occurrence of a full or partial DTX state, and then obtaining a ratio {tilde over (r)} of the overall DTX metric {circumflex over (D)} of option 1 to the DTX metric {tilde over (D)} for on-DTX RBs.
(70) DTX metric {tilde over (D)} for non-DTX RBs may be obtained from the equation:
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(72) The overall DTX metric according to the second option comprising the ratio {circumflex over (r)} may be obtained from:
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(74) The overall DTX metric of option 2 comprising the ratio {circumflex over (r)} is independent of noise variance and thus flexible to use. It characterizes more accurately the properties of a partial DTX state more so than a full DTX state.
(75) The reciprocal of the ratio {circumflex over (r)} comprising the overall DTX metric of the second option follows a non-central F-distribution such that:
(76)
(77) Given that in an additive white Gaussian noise (AWGN) channel h.sub.nkl(m)=
(78)
(79) Approximating this to a central F-distribution, we obtain:
(80)
(81) which enables the scaled threshold value S.Math.τ to be obtained from:
(82)
(83) where betaincinv is the inverse function of the incomplete Beta function.
(84) For this embodiment comprising the second option for step 415, the scaling factor S is also simple to calculate and can therefore be calculated on the fly as and when called based on the already estimated SNR. However, it is preferred to predetermine the threshold τ in advance and stored it in, for example, a lookup table (LUT) in the memory 140 of the UCI receiver 100/200.
(85) The final step 420 of the method 400 for this embodiment of the method comprises comparing overall DTX metric {circumflex over (r)} to the scaled threshold value S.Math.τ such that where {circumflex over (r)}≤S.Math.τ, then output a DTX state signal or where where {circumflex over (r)}>S.Math.τ, then determine that no DTX state has occurred.
(86) In the various embodiments of the methods of the invention, the one or more selected RBs may be selected based on one or more assumed DTX conditions derived from potential DTX scenarios. The one or more assumed DTX conditions may comprise an assumption that the one or more selected RBs exhibit a DTX state or comprise an assumption of a number of RBs that are not being validly used due to occurrence of a full or partial DTX state. The method may be applied iteratively starting with a lowest value of a selected one of the one or more assumed DTX conditions.
(87) The method of the invention may be combined with other methods of determining the presence or existence of a DTX state or a partial DTX state.
(88) The method of the invention may include determining the presence or existence of a DTX state or a partial DTX state when any one of the following conditions is met: (i) all of the combined methods for determining the presence or existence of a DTX state or a partial DTX state indicate existence of a DTX state or a partial DTX state; (ii) at least one of the combined methods for determining the presence or existence of a DTX state or a partial DTX state indicate existence of a DTX state or a partial DTX state; or at least a predetermined number of the combined methods for determining the presence or existence of a DTX state or a partial DTX state indicate existence of a DTX state or a partial DTX state.
(89) The linear block code may be Reed-Muller (RM) code or RM-based super code.
(90) The invention provides a UCI receiver device 100 for a wireless communication system. The UCI receiver device 100 comprises a memory 140 storing machine-readable instructions and a processor 150 for executing the machine-readable instructions such that, when the processor 150 executes the machine-readable instructions, it configures the UCI receiver device 100 to implement the afore-described methods in accordance with the invention.
(91) The invention provides a non-transitory computer-readable medium 140 storing machine-readable instructions, wherein, when the machine-readable instructions are executed by a processor 150, they configure the processor 150 to implement the afore-described methods in accordance with the invention.
(92) The invention aims to provide a method and apparatus for detecting partial discontinuous transmission in PUCCH using raw channel estimation data. The invention is capable of distinguishing partial DTX with low FAR and low MDR by comparing, for example, the average of DTX metrics for the dropped RBs with the scaled threshold during the channel estimation stage.
(93) The calculation of the per-RB DTX metric for each dropped RB is highly advantageous, in that, the per-RB DTX metric of each dropped RB is determined or calculated and an overall, averaged DTX metric is derived from the combination of the per-RB DTX metrics of the dropped RBs. The overall DTX metric is compared with the scaled threshold to determine the existence of a DTX state.
(94) In a more preferred embodiment, a ratio of overall DTX metric with an averaged non-DTX metric for non-DTX RBs is derived and subsequently the resulting ratio is compared with the scaled threshold to determine the existence of DTX. This is particularly suitable for the detection of partial DTX.
(95) The apparatus described above may be implemented at least in part in software. Those skilled in the art will appreciate that the apparatus described above may be implemented at least in part using general purpose computer equipment or using bespoke equipment.
(96) Here, aspects of the methods and apparatuses described herein can he executed on any apparatus comprising the communication system. Program aspects of the technology can be thought of as “products” or “articles of manufacture” typically in the form of executable code and/or associated data that is carried on or embodied in a type of machine-readable medium. “Storage” type media include any or all of the memory of the mobile stations, computers, processors or the like, or associated modules thereof, such as various semiconductor memories, tape drives, disk drives, and the like, which may provide storage at any time for the software programming. All or portions of the software may at times be communicated through the Internet or various other telecommunications networks. Such communications, for example, may enable loading of the software from one computer or processor into another computer or processor. Thus, another type of media that may bear the software elements includes optical, electrical and electromagnetic waves, such as used across physical interfaces between local devices, through wired and optical landline networks and over various air-links. The physical elements that carry such waves, such as wired or wireless links, optical links or the like, also may be considered as media bearing the software. As used herein, unless restricted to tangible non-transitory “storage” media, terms such as computer or machine “readable medium” refer to any medium that participates in providing instructions to a processor for execution.
(97) While the invention has been illustrated and described in detail in the drawings and foregoing description, the same is to be considered as illustrative and not restrictive in character, it being understood that only exemplary embodiments have been shown and described and do not limit the scope of the invention in any manner. It can be appreciated that any of the features described herein may be used with any embodiment. The illustrative embodiments are not exclusive of each other or of other embodiments not recited herein. Accordingly, the invention also provides embodiments that comprise combinations of one or more of the illustrative embodiments described above. Modifications and variations of the invention as herein set forth can be made without departing from the spirit and scope thereof, and, therefore, only such limitations should be imposed as are indicated by the appended claims.
(98) In the claims which follow and in the preceding description of the invention, except where the context requires otherwise due to express language or necessary implication, the word “comprise” or variations such as “comprises” or “comprising” is used in an inclusive sense, i.e., to specify the presence of the stated features but not to preclude the presence or addition of further features in various embodiments of the invention.
(99) It is to be understood that, if any prior art publication is referred to herein, such reference does not constitute an admission that the publication forms a part of the common general knowledge in the art.