A method and a network node (110) for obtaining a nominal power “P.sub.0” of transmissions on an uplink channel and a pathloss compensation factor “α” are disclosed. The cell (101) is associated to a non-regular scenario, at least network node partly defined by respective locations of further cells of the cellular network (100). The further cells are neighbours to the cell (101), which is located at a location within the cellular network (100). The network node (110) generates, for each further cell, a respective regular scenario in relation to the cell (101). The generation is at least based the respective location corresponding to said each further cell and the location of the cell (101). The network node (110) determines, also for each further cell, a respective P.sub.0 and a respective α for each respective regular scenario. The network node (110) applies a statistical formula to each of the respective P.sub.0 and the respective α to obtain the nominal power and the path loss compensation factor to be applied by the user equipment (120) in the cell (101).

Systems and methods described herein provide a method for detecting beamformed detecting beam-formed orthogonal frequency division multiplexing (OFDM) packets. The method includes receiving, at a receiver, a data signal including a data packet, and selecting a set of frequency domain tones associated with the data signal for channel estimation. The method further includes calculating a plurality of differential parameters between adjacent frequency domain tones from the set of frequency domain tones. The method further includes identifying a jump when a first differential parameter from the plurality of differential parameters exceeds a jump threshold. The method further includes obtaining an accumulative count of jumps for the set of frequency domain tones, and identifying the data packet is beamformed when the accumulative count exceeds a jump limit.

The method includes receiving communication signals in a time domain and to aa frequency domain, providing resource blocks in the frequency domain including a first and second resource block, selecting first pilot signals from first resource block and second pilot signals from second resource block, calculating a first average value based on the first pilot signals, calculating a second average value, determining a phase difference between the first and second pilot signals using the first and second average values, adjusting a first phase of first resource block using the phase difference, providing a first waveform using the first resource block with adjusted the first phase and the second resource block, applying a smoothing filter against the first waveform to generate a second waveform, generating a third waveform using at least the first and third set of phase and amplitude differences, and converting third waveform from frequency domain to time domain.

A symbol boundary in a data packet having a guard interval preceding a preamble having a predetermined sequence of symbols is detected by receiving a signal representing a data packet; sampling the received signal at a sampling rate; estimating channel impulse responses from a set of samples in dependence on the predetermined sequence of symbols of the preamble; determining an energy value for each of a plurality of windows of channel impulse responses, each of the windows corresponding to W number of consecutive samples, the energy value for each of the windows being indicative of the total energy associated with the channel impulse responses of that window; determining which of the windows has the greatest energy value; and identifying the earliest sample of the consecutive W samples in said determined greatest energy window, the earliest sample being indicative of a symbol boundary for the preamble.

The Data Recovery with Inverse Transformation (DRIT) comprises methods and systems for reversing transmission channel transfer function in order to achieve a direct recovery of original data from a received signal distorted by a transmission link.

Embodiments of the present application provide a signal processing method and apparatus, and a device. The embodiments relate to an MU-MIMO system. The signal processing apparatus includes: a signal obtaining module and a sending module. A signal includes N spatial flows, and the signal includes a training field, where the training field includes a first part and a second part. Sub-carriers of an OFDM symbol in the second part of the training field are divided into N training sub-carrier sets TSSs in a division manner that is the same as a division manner of sub-carriers of an OFDM symbol in the first part of the training field, and each spatial flow corresponds to at least one sub-carrier in a TSS, in each frequency domain location, of each OFDM symbol in the second part of the training field. So that precision of the channel estimation is improved.

Methods and apparatus for facilitating the use of a plurality of antenna beams for communications purposes are described. In at least some embodiments beam priority information is periodically exchanged. Multiple timers are used to ensure beam information is exchanged at intervals intended to facilitate reliable beam synchronization and to control switching to one or more alternative beams in a predictable manner in the event beam change information or beam synchronization information is lost. In some but not all embodiments a wideband beam is used to communicate beam synchronization information when synchronization using narrower beams used for normal data communication is lost.

This application presents a direct data recovery from subspaces or parameters subranges of a received OFDM signal preidentified as corresponding to specific data symbols, by applying adaptive inverse signal transformation (AIST) method for reversing both original data coding and deterministic and random distortions introduced by a transmission channel, wherein both reversals are achieved by the same conversion of the subspaces or parameter subranges into data transmitted originally in order to eliminate an intermediate recovery of signals or parameters transmitted originally within the received OFDM signal. The AIST includes using both amplitudes and gradients of amplitudes of OFDM tone signals.

A network dimensioning algorithm for networks, such as DOCSIS 3.1 networks, is described. The present system and method combines per-profile traffic characteristics, available bandwidth, legacy coexistence, and detail overhead contributions of cyclic prefix, pilots, excluded subcarriers, FEC, and bit loading among other parameters.

Methods, systems, and devices for wireless communications are described. A user equipment (UE), that is configured for demodulation reference signal (DMRS) bundling, may receive a control message that schedules first and second sets of repetitions of an uplink transmission. The UE may determine a phase coherency configuration to be applied for DMRS transmissions corresponding to each set of repetitions. The phase coherency configuration may be determined based on a phase coherency capability of the UE, and the phase coherency configuration may specify that phase coherency is to be maintained for one or more of the first set of repetitions separate from one or more of the second set of repetitions. The UE may transmit the first set of repetitions with a first set of demodulation reference signals and the second set of repetitions with a second set of demodulation reference signals in accordance with the phase coherency configuration.