Resource Scheduling And Allocation Of C-RNA Based On Machine Learning

With the rise of smart phones,it is expected that by 2020,wireless communication systems will support more than 1000 times of data and traffic now.Therefore,it is very important to develop 5G wireless technology.Cloud-Radio Access Network(C-RAN)is one of the core technologies of 5G networking and is the key to the development of 5G.It is based on the development of traditional radio access networks.The traditional radio access network can be understood as a base station and integrates a baseband unit(BBU)and a radio remote head(RRH).The C-RAN splits the BBU and the RRH and concentrates the BBU on the base station.However,in the C-RAN,how to allocate the BBU and the RRH to minimize the power consumption and to satisfy the user's quality of service(QoS)as much as possible,there are still many aspects worth improving.For this reason,this article focuses on how to use machine learning algorithms to optimize the allocation of BBUs and RRHs and effectively reduce power consumption.First of all,this paper introduces the technical architecture of C-RAN and its possible deployment scenarios,and proposes resource scheduling issue which is crucial to its development.This paper also introduces related research done by others and some related scheduling algorithms and the chemical reaction optimization algorithm which will be used in the following chapters of this paper.Next,this article proposes a new allocation algorithm that optimizes the RRH and BBU jointly from the situation that user equipment and the allocated BBU can be migrated,that is,an optimization algorithm based on chemical reactions,designed to reduce the power consumption of communication system.The simulation results shows that this algorithm is much more better,and it consumes less power than existing algorithms.Then,in this paper,from the situation that the user equipment and the allocated BBU can not be migrated,another improved chemical reaction optimization algorithm is proposed to optimize the allocation between the user equipment and the BBU so that the power consumption in this algorithm is lower than the power consumption in other algorithms.The simulation results show that this algorithm does reduce the power consumption compared with the existing algorithms.Finally,the proposed algorithms are used for the scheduling and allocation of BBUs in the baseband pool,and the BBUs in the BBU pool are allocated based on the ratio.The BBUs are divided into user equipments can be migrated BBUs and user equipments can not be migrated BBUs to reduce power consumption of communication system,simulation results show that this algorithm can reduce the power consumption in the BBU pool.