Paper Info
Title
Cross-layer resource allocation in cloud radio access network
Abstract
Cloud radio access network (C-RAN) aims to improve the spectrum and energy efficiency of wireless communication networks by migrating conventional distributed base station functionalities into a centralized cloud baseband unit (BBU) pool. We investigate a cross-layer resource allocation model for C-RAN to minimize the overall system power consumption in both the BBU pool and the remote radio heads (RRHs), while guaranteeing the cross-layer QoS. We characterize the cross-layer resource allocation problem as a mixed-integer nonlinear programming (MINLP), which is however NP-hard. By relaxing the original MINLP problem to a quasi weighted sum-rate maximization (QWSRM) problem, we utilize a branch and bound method to solve the QWSRM problem, and propose a low-complexity bisection search algorithm to obtain a sparse solution for RRH selection problem. Simulation results suggest that our cross-layer approach achieves more energy savings than the recently proposed greedy selection and successive selection algorithms for optimal RRH selection.
Year
DOI
Venue
2014
10.1109/GlobalSIP.2014.7032098
GlobalSIP
Keywords
Field
DocType
spectrum efficiency,energy savings,successive selection algorithms,system power consumption,power consumption,c-ran,tree searching,radio access networks,nonlinear programming,np-hard problem,quality of service,bbu pool,minlp problem,optimal rrh selection,integer programming,energy conservation,telecommunication power management,resource allocation,cross-layer resource allocation model,cloud radio access network,low-complexity bisection search algorithm,computational complexity,centralized cloud baseband unit pool,greedy selection,branch and bound method,cross-layer qos,computation capacity,cross-layer design,qwsrm problem,mixed-integer nonlinear programming,quasiweighted sum-rate maximization problem,distributed base station functionality,weighted sum-rate maximization,cloud computing,rrh selection problem,energy efficiency,remote radio heads,elastic service scaling,wireless communication networks,energy harvesting,signal processing
Base station,Mathematical optimization,Search algorithm,Wireless,Computer science,Nonlinear programming,Quality of service,Resource allocation,Radio access network,Distributed computing,Cloud computing
Conference
Citations 
PageRank 
References 
8
0.51
17
Authors
3
Name
Order
Citations
PageRank
Jianhua Tang1667.26
Wee Peng Tay256152.82
Tony Q. S. Quek33621276.75