Method For Resource Allocation Of Heterogeneous Cloud Radio Access Networks

In order to improve the performance of the radio access network and meet the diversified business needs in the network,the industry combines centralized cloud computing with heterogeneous networks,and proposes heterogeneous cloud radio access network that can achieve a collaborative adaptive processing and alleviate the pressure on the fronthaul at the same time.However,with the continuous increase in the number of terminal users,the increasingly diverse types of access points,and the continuous emergence of various differentiated services,radio access networks have imposed more stringent requirements on performance such as spectrum efficiency,energy efficiency,and transmission delay.How to design a reasonable resource allocation plan to meet the perfor-mance requirements of heterogeneous cloud radio access networks has become a key issue that needs to be solved urgently.To this end,this article focuses on the goal of improving the performance of heterogeneous cloud radio access networks.Based on a series of mathematical theories such as convex optimiza-tion theory,duality theory,and matrix optimization theory,this paper studies how to improve spectrum efficiency,energy efficiency,and transmission delay.The main work and innovations of this paper are summarized as follows:1.Wireless security resource allocation method for spectrum efficiency optimizationCompared with traditional access networks,heterogeneous cloud radio ac-cess networks have many types of access points,and there is often serious cross-layer interference.In addition,the existence of eavesdropping nodes al-so affects the security of wireless networks.In order to reduce the information obtained by eavesdroppers and solve the problem of cross layer interference,d-ifferent types of access points in traditional networks tend to adopt the method of different frequency networking,but this causes the waste of spectrum re-sources and reduces the spectrum efficiency.In order to effectively solve the contradiction between the waste of spectrum resources and the elimination of cross-layer interference,this chapter analyzes the internal connection of cross-layer interference in the network according to the Perron-Frobenius theory in the matrix optimization theory,and presents a network based on the same fre-quency.The method of joint allocation of subcarriers and transmit power can maximize the user’s spectrum efficiency.The simulation results show that the proposed wireless resource allocation scheme can converge at a faster speed and can significantly reduce inter-network interference.Compared with tradi-tional methods,the proposed method can improve the spectrum efficiency of users in heterogeneous cloud radio access networks by approximately 102.Resource allocation method of enhanced soft frequency reuse for energy efficiency optimizationCompared with traditional access networks,heterogeneous cloud radio ac-cess networks have a high density of access points,and the transmission power of different access points varies greatly,which severely reduces the energy ef-ficiency of the network.This chapter focuses on the goal of improving the energy efficiency of heterogeneous cloud radio access networks.Firstly,an enhanced soft frequency reuse method is proposed to allocate different access points and frequency bands for users according to actual service quality re-quirements.After that,the energy efficiency optimization problem is modeled as a non-convex optimization problem,and the dual theory and other tools are used to transform the problem into a convex optimization problem,and then an efficient iterative solution algorithm is proposed.The proposed algorithm can converge to the optimal solution after a few iterations.Compared with the traditional method,the proposed method can increase the energy efficiency of heterogeneous cloud radio access networks by about 253.Joint resource allocation method of transmit power and access mode for transmission delay optimizationThe access point of the heterogeneous cloud radio access network can not only realize the local processing of services and the local distribution of infor-mation,but also the centralized control of the network,which can effectively improve the transmission delay performance of the network.However,the het-erogeneous cloud radio access network has many types of access points and complex functions,which causes the transmission delay performance of users to be greatly affected by different access modes.Traditional networks only fo-cus on resource allocation in a single access mode,and related methods cannot be applied to heterogeneous cloud radio access networks.Therefore,in or-der to improve heterogeneous For the transmission delay performance of cloud wireless access network,this chapter studies the joint optimization problem of user access mode and wireless resource allocation.According to the nor-m optimization theory,the discrete access mode variables are transformed into continuous variables,and a joint executable method of user access and wireless resource allocation is given.The results show that the proposed method can re-duce the transmission delay of heterogeneous cloud radio access networks by about 10.