Ultra-dense network wireless resource allocation method based on NOMA and beam forming

Abstract

The invention discloses an ultra-dense network wireless resource allocation method based on NOMA and beam forming. The method comprises the steps: combining beam forming and NOMA; enabling a base station equipped with multiple antennas to communicate with user equipment equipped with multiple single antennas; employing beam forming to improve the coverage rate and the signal to noise ratio of signals from a macro base station to a small base station; adopting NOMA in the process that the small base station transmits the signals to users, and distributing different transmission powers to the different users so as to adapt to the situation that the users cannot feed back effective network state information according to the change of the network environment. According to the invention, inter-cluster interference and intra-cluster user interference are effectively suppressed; moreover, the fairness among users is ensured to a certain extent, the throughput performance of the system is improved, and power distribution is fairly and effectively carried out, so the system has the advantages of high throughput, high signal quality and high power efficiency, simultaneous communication of alarge number of users is supported, and the system performance and the spectrum utilization rate are greatly improved.

Description

technical field [0001] The invention relates to a resource allocation method, in particular to an ultra-dense network wireless resource allocation method based on NOMA and beamforming, and belongs to the technical field of communication. Background technique [0002] The fifth-generation mobile communication system (5G) has a theoretical peak transmission rate of tens of Gbit / s, hundreds of times higher than the transmission rate of the 4G system, and a 1,000-fold increase in data traffic. Its wireless coverage performance, system security and service quality are also improved. will be significantly improved. In order to achieve this goal, in addition to increasing spectrum bandwidth and using advanced wireless transmission technology to improve spectrum utilization, one of the main methods is to build an ultra-dense network (UDN) through dense cell deployment to improve spatial reuse. The ultra-dense network can enable user terminals to obtain more spectrum in the coverage...

AI Technical Summary

Problems solved by technology

[0005] 1) Interference limitation: With the increase of base station density and the decrease of the distance between users and base stations, the UDN inter-cluster interference intensity and the number of interfering base stations increase, which will increase a lot of extra overhead and power consumption, and due to multiple Each user shares a beamforming vector, therefore, the total capacity is easily affected by interference from other beamforming vectors, and the previous resource management control method is not applicable under multiple interferences

[0006] 2) Overhead limitation: Traditional random beamforming still requires all users to send channel state information to the base station, which consumes a lot of resources

[0007] 3) Service restriction: With the reduction of cell coverage, the behavior of users has a high correlation, and the problem of service association becomes more complicated

The service association technology will directly affect the resource allocation scheme of the network, thereby affecting the network performance.

[0008] 4) Complexity limitation: Compared with the traditional SIC receiver, the SIC receiver adopted by NOMA is more complex and requires higher signal processing capabilities

However, in a cluster-based NOMA system, it is very difficult to determine how best to dynamically allocate users to a dynamic number of clusters with different sizes

More importantly, the resulting combinatorial optimization problems are usually difficult to solve, and the calculation is huge

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