Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/105007
Title: Cross-layer resource allocation with elastic service scaling in cloud radio access network
Authors: Tang, Jianhua
Tay, Wee Peng
Quek, Tony Q. S.
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Elastic Service Scaling
C-RAN
Issue Date: 2015
Source: Tang, J., Tay, W. P., & Quek, T. Q. S. (2015). Cross-layer resource allocation with elastic service scaling in cloud radio access network. IEEE Transactions on Wireless Communications, 14(9), 5068-5081. doi:10.1109/TWC.2015.2432023
Series/Report no.: IEEE Transactions on Wireless Communications
Abstract: Cloud radio access network (C-RAN) aims to improve spectrum and energy efficiency of wireless networks by migrating conventional distributed base station functionalities into a centralized cloud baseband unit (BBU) pool. We propose and investigate a cross-layer resource allocation model for C-RAN to minimize the overall system power consumption in the BBU pool, fiber links and the remote radio heads (RRHs). We characterize the cross-layer resource allocation problem as a mixed-integer nonlinear programming (MINLP), which jointly considers elastic service scaling, RRH selection, and joint beamforming. The MINLP is however a combinatorial optimization problem and NP-hard. We relax the original MINLP problem into an extended sum-utility maximization (ESUM) problem, and propose two different solution approaches. We also propose a low-complexity Shaping-and-Pruning (SP) algorithm to obtain a sparse solution for the active RRH set. Simulation results suggest that the average sparsity of the solution given by our SP algorithm is close to that obtained by a recently proposed greedy selection algorithm, which has higher computational complexity. Furthermore, our proposed cross-layer resource allocation is more energy efficient than the greedy selection and successive selection algorithms.
URI: https://hdl.handle.net/10356/105007
http://hdl.handle.net/10220/47838
ISSN: 1536-1276
DOI: 10.1109/TWC.2015.2432023
Rights: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TWC.2015.2432023.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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