摘要
Coordinated signal processing can obtain a huge transmission gain for Fog Radio Access Networks(F-RANs).However,integrating into large scale,it will lead to high computation complexity in channel estimation and spectral efficiency loss in transmission performance.Thus,a joint cluster formation and channel estimation scheme is proposed in this paper.Considering research remote radio heads(RRHs)centred serving scheme,a coalition game is formulated in order to maximize the spectral efficiency of cooperative RRHs under the conditions of balancing the data rate and the cost of channel estimation.As the cost influences to the necessary consumption of training length and estimation error.Particularly,an iterative semi-blind channel estimation and symbol detection approach is designed by expectation maximization algorithm,where the channel estimation process is initialized by subspace method with lower pilot length.Finally,the simulation results show that a stable cluster formation is established by our proposed coalition game method and it outperforms compared with full coordinated schemes.
Coordinated signal processing can obtain a huge transmission gain for Fog Radio Access Networks(F-RANs). However, integrating into large scale, it will lead to high computation complexity in channel estimation and spectral efficiency loss in transmission performance. Thus, a joint cluster formation and channel estimation scheme is proposed in this paper. Considering research remote radio heads(RRHs) centred serving scheme, a coalition game is formulated in order to maximize the spectral efficiency of cooperative RRHs under the conditions of balancing the data rate and the cost of channel estimation. As the cost influences to the necessary consumption of training length and estimation error. Particularly, an iterative semi-blind channel estimation and symbol detection approach is designed by expectation maximization algorithm, where the channel estimation process is initialized by subspace method with lower pilot length. Finally, the simulation results show that a stable cluster formation is established by our proposed coalition game method and it outperforms compared with full coordinated schemes.
基金
supported in part by the State Major Science and Technology Special Project(Grant No.2018ZX03001025)
the National Natural Science Foundation of China(No.61831002 and No.61671074)
the Fundamental Research Funds for the Central Universities under Grant No.2018XKJC01
作者简介
Zhifeng Wang,is currently pursuing Ph.D.degree in the State Key Laboratory of Networking and Switching Technology(SKL-NST)at Beijing University of Posts and Telecommunications(BUPT),China.His current research interests include cooperative communication,channel estimation and detection theory in cloud radio access networks(C-RANs)and fog radio access networks(F-RANs);Feifan Yang,is currently pursing Master’s degree in the State Key Laboratory of Networking and Switching Technology(SKL-NST)at Beijing University of Posts and Telecommunications(BUPT),China.His research interests include channel estimation and signal processing for cloud radio access networks(C-RANs)and fog radio access networks(F-RANs);corresponding author:Shi Yan,email:yanshi01@bupt.edu.cn,received the Ph.D.degree in communication and information engineering from Beijing University of Posts and Telecommunications(BUPT),China,in 2017.He is currently a postdoctoral in the key laboratory of universal wireless communications(Ministry of Education)at BUPT.In 2015,he was an Academic Visiting Scholar with Arizona State University,Tempe,AZ,USA.His research interests include game theory,resource management,deep reinforcement learning,stochastic geometry and fog radio access networks;Saleemullah Memon,He is currently pursuing his MS degree in the Key Laboratory of Universal Wireless Communication(Ministry of Education),Beijing University of Posts and Telecommunications(BUPT),China.His current research interests include simultaneous wireless information and power transfer(SWIPT)in cooperative relaying networks,MIMO systems and cognitive radio networks;Zhongyuan Zhao,received the Ph.D.degree in communication and information systems from Beijing University of Posts and Telecommunications(BUPT),Beijing,China,in 2014.He is currently a Lecturer with BUPT.His research interests include cloud computing-based radio access networks,content caching,and advanced wireless signal processing and transmission technologies.Dr.Zhao serves as an editor of IEEE Communications Letters(since 2016),and he was the recipient of the Best Paper Awards at the IEEE CIT 2014 and WASA 2015;Chunjing Hu,received the B.S.,M.S,and Ph.D.degrees from the Beijing University of Posts and Telecommunications(BUPT),Beijing,China,in 1991,1994,and 2007,respectively.She is currently an Associate Professor with the School of Information and Communications Engineering,BUPT.Her current research interests include signal processing for wireless communications.
