Cross-layer resource allocation in cloud radio access network

Jianhua Tang, Wee Peng Tay, Tony Q.S. Quek

研究成果: Conference contribution

13 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014
發行者Institute of Electrical and Electronics Engineers Inc.
頁面158-162
頁數5
ISBN(電子)9781479970889
DOIs
出版狀態Published - 2014 二月 5
事件2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014 - Atlanta, United States
持續時間: 2014 十二月 32014 十二月 5

出版系列

名字2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014

Conference

Conference2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014
國家United States
城市Atlanta
期間14-12-0314-12-05

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Information Systems

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