Research On Resource Allocation In Cellular Network

With the substantial growth of mobile communication services,future wireless network communications will face unprecedented challenges.In order to meet the requirement of the low latency,low power consumption,and high speed in today's mobile internet of new intensive applications,Mobile Edge Computing(MEC)technology and Device-to-Device(D2D)communications technology are therefore successively introduced in fifth-generation(5G)mobile communication system.As a supplement to Mobile Cloud Computing(MCC),MEC can flexibly cope with the computing pressure of mobile terminals in cellular networks by sinking the computing resources and caches to the edge of the network.However,edge servers with limited resources can hardly solve the problems of high latency and high power consumption caused by increasingly intensive applications.For D2 D communication in a cellular network,although the communication load of the base station in the cellular network can be reduced,and the data rate and spectrum efficiency can be effectively improved,cochannel interference will inevitably occur between the users who are sharing the same spectrum resources.To this end,in order to improve communication quality and user Quality of Service(Qo S),this article focuses on the issue of resource allocation in cellular networks.The main contribution includes the following two aspects:(1)The adaptive computing resource allocation scheme in the cellular network based on the MEC server is proposed.For the problems with respect to how to effectively use the limited computing resources in the network and ensure the user's Qo S requirements,this paper not only aims at maximizing the system utility gain,but also designs a computing resource allocation scheme that can adaptively adjust the task offloading decision according to the system resource distribution.This scheme can not only reduce the burden of intensive tasks on the base station by introducing D2 D offloading on the basis of the offloading of the base station(MEC server is deployed),but also can adaptively select the optimal offloading for the user according to the usage of the base station's computing resources.Besides,this scheme can sufficiently use the spare resources in the network,and increase the flexibility of computing resource allocation.The simulation results show that the proposed resource allocation scheme can maximize the utility gain of the system and effectively reduce the total time latency of the system.(2)In the cellular network system using D2 D communication cooperation,the resource allocation scheme for uplink one-to-one spectrum multiplexing is proposed.For the problem of co-frequency interference among the users sharing the same spectrum resources,this paper aims to maximize the total transmission rate of the system,and proposes a D2 D communication resource allocation scheme based on maximum capacity gain.First,the geometric planning algorithm is used to control the transmit power between each pair of D2 D user and the cellular user which share the same spectrum resources to control the communication interference,to ensure user Qo S requirements.Then use the maximum bipartite graph matching scheme and the Hungarian algorithm to allocate each D2 D user spectrum resources,to achieve the best match in terms of the spectrum resources and D2 D users,which can improve system performance with a maximum system capacity gain.The simulation results show that the proposed resource allocation method can effectively improve the system capacity gain and D2 D user access rate.