H04W16/18

Performance simulation of a distributed MIMO antenna system

Systems and methods for determining a performance metric for an antenna deployment are provided. In some embodiments, a method includes obtaining the antenna deployment including antennas and corresponding locations for the antennas, a cell assignment for the antennas such that each antenna is assigned to one cell out of one or more cells, and a resource assignment for the antennas such that each antenna is assigned to one radio resource out of one or more radio resources. Based on the antenna deployment, the cell assignment, and the resource assignment, the method determines at least one performance metric of the antenna deployment. In this way, some embodiments disclosed herein provide a lightweight & efficient method to simulate the performance of a MIMO network composed of distributed antennas. In some embodiments, the performance is realized by calculating SINR, Bitrate, and Rank for the network.

5G native architecture

Systems, methods and computer software are disclosed for providing a 5G native architecture. In one embodiment a method includes providing an all G software platform, including a core virtualization stack capable of communication with all hauls, and a radio virtualization stack capable of communication with all cores; and wherein the core virtualization stack communicates with an analytics layer, the analytics layer communicates with an orchestration layer, the orchestration layer communicates with a consolidation layer, and the consolidation layer communicates with the radio virtualization stack such that any G core is able to communicate with any G radio access network.

5G native architecture

Systems, methods and computer software are disclosed for providing a 5G native architecture. In one embodiment a method includes providing an all G software platform, including a core virtualization stack capable of communication with all hauls, and a radio virtualization stack capable of communication with all cores; and wherein the core virtualization stack communicates with an analytics layer, the analytics layer communicates with an orchestration layer, the orchestration layer communicates with a consolidation layer, and the consolidation layer communicates with the radio virtualization stack such that any G core is able to communicate with any G radio access network.

Universal domain proxy for SAS

Various embodiments comprise systems, methods, architectures, mechanisms and apparatus providing a universal SAS domain proxy.

ARRIVAL RATE ESTIMATION APPARATUS, ARRIVAL RATE ESTIMATION METHOD AND PROGRAM

An arrival rate estimation device includes an average received power calculation unit that calculates an average received power for each mesh that constitutes an area, with respect to each of a plurality of base stations and each of a plurality of antennas included in each of the base stations and an arrival rate estimation unit that calculates a communication arrival rate by substituting the average received power into a cumulative distribution function of an instantaneous received power value, and based on the calculated communication arrival rate, calculates a communication arrival rate while giving consideration to a site diversity effect and an antenna diversity effect, the cumulative distribution function being obtained from a probability density function of an amplitude that instantaneously changes due to Rayleigh fading.

WIRELESS PERFORMANCE EVALUATION METHOD AND WIRELESS PERFORMANCE EVALUATION SYSTEM

A wireless performance evaluation method for performing wireless performance evaluation of a wireless network including wireless base stations and wireless terminal stations includes: a step 1 of, before performing wireless performance evaluation operation based on wireless performance evaluation information generated from wireless performance evaluation conditions, determining whether an existing wireless performance evaluation result of wireless performance evaluation operation that has been performed is substitutable or not; and a step 2 of, if the existing wireless performance evaluation result is substitutable, skipping arithmetic processing corresponding to the wireless performance evaluation information and substituting the existing wireless performance evaluation result. The step 1 determines that the existing wireless performance evaluation result is substitutable if various kinds of pieces of information included in the wireless performance evaluation information correspond to those corresponding to the existing wireless performance evaluation result or if a difference is such a difference that a result equal to the existing wireless performance evaluation result is obtained.

ASSESSING THE IMPACTS OF CELLULAR NETWORK CHANGES

A method includes selecting a study group including a first network element and a second network element of a network, selecting a control group including a third network element, identifying times at which a change is deployed at the first network element and the second network element, time-aligning the change at the first element and the change at the second network element to a common time, performing a statistical analysis that compares the performance of the network before the common time to the performance of the network after the common time, detecting an impact of the change on a performance of the network based on the statistical analysis, and initiating a remedial action when the impact comprises a degradation to the performance.

ASSESSING THE IMPACTS OF CELLULAR NETWORK CHANGES

A method includes selecting a study group including a first network element and a second network element of a network, selecting a control group including a third network element, identifying times at which a change is deployed at the first network element and the second network element, time-aligning the change at the first element and the change at the second network element to a common time, performing a statistical analysis that compares the performance of the network before the common time to the performance of the network after the common time, detecting an impact of the change on a performance of the network based on the statistical analysis, and initiating a remedial action when the impact comprises a degradation to the performance.

NODE PLACEMENT SERVICE

A method, a device, and a non-transitory storage medium provide a node placement service. The node placement service may generate geo-bins pertaining to a radio access network device, a sector of the radio access network device, or a sub-sector. The node placement service may generate time values for the geo-bins based on network information associated with end devices and the geo-bins. The node placement service may also generate return on investment values for the geo-bins based on the network information. The node placement service may use the time values, the return on investment values, or both for radio frequency design of a geo-bin.

NODE PLACEMENT SERVICE

A method, a device, and a non-transitory storage medium provide a node placement service. The node placement service may generate geo-bins pertaining to a radio access network device, a sector of the radio access network device, or a sub-sector. The node placement service may generate time values for the geo-bins based on network information associated with end devices and the geo-bins. The node placement service may also generate return on investment values for the geo-bins based on the network information. The node placement service may use the time values, the return on investment values, or both for radio frequency design of a geo-bin.