Research On Power Allocation Based On Effective Capacity In 5G Network

With the advancement of science and technology,the application of communication technology has evolved from the initial voice telephone to the later digital communication and multimedia communication.The application scenario has also evolved from a single voice communication to video conferencing,Internet of Things,car networking and satellite positioning,which are a series of scenarios with high requirements on communication delay and signal transmission quality.5G communication technology is born in such a big background.Due to the increasing requirements for quality of service(QoS),the limited wireless communication resources and the complex and variable channel environment,how to allocate the limited resources reasonably and effectively becomes more and more important.Therefore,this paper has conducted in-depth research on the problem of wireless resource allocation under QoS constraints.This paper first analyzes the resource allocation problem based on effective capacity in a single-hop wireless uplink non-orthogonal multiple access(NOMA)network for two users.At the transmitting end,two users perform superimposed transmission of signals,and actively introduce interference at the receiving end,and use Serial Interference Cancellation(SIC)to correctly solve the original signal.According to the related theories of Shannon capacity and effective capacity,the effective capacity set and effective capacity area of the uplink NOMA network are derived.The knowledge of convex optimization is used to prove that the effective capacity area is a convex area.According to the definition of effective capacity,the boundary of the effective capacity area is the maximum rate that the user can reach.In order to find the boundary point of the effective capacity area,the Lagrange dual function and the Taylor expansion approximation and convex optimization theory are used to transform the original problem into a mathematical problem and then solve it.Then two user-asymptotically optimal power allocation algorithms are obtained to maximize the effective capacity by optimizing the power.Based on the re-analysis of the transmission network on the basis of the two-user channel signal transmission on the single-carrier channel,this paper derives the scenario of multiple users on the single-carrier channel.In view of the complexity of multi-user transmission,this paper uses the known characteristics of two user signal transmissions in a single-carrier channel to set optimal preconditions for multi-user transmission,and then solves the total maximum effective capacity.By using MATLAB tool software,Monte Carlo method is used to simulate the experiment,and compared with the power allocation algorithm based on maximizing sum-throughput,the experimental results prove the correctness and effectiveness of the power allocation method proposed in this paper.