Joint Scheduling and Beamforming Coordination in Cloud Radio Access Networks With QoS Guarantees

The cloud radio access network (C-RAN) is a promising architecture for future radio access networks (RANs) due to its advantages in cost efficiency, flexibility, and utilization efficiency. To fully reap these benefits, this paper focuses on joint optimization of user grouping, virtual base station...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology 2016-07, Vol.65 (7), p.5449-5460
Main Authors: Huang, Xiaoyan, Xue, Guoliang, Yu, Ruozhou, Leng, Supeng
Format: Article
Language:English
Subjects:
Algorithms
Array signal processing
Beamforming
Cloud computing
cloud radio access network (C-RAN)
Efficiency
Heuristic algorithms
Interference
Joints
MIMO
multiuser multiple-input multiple-output (MIMO)
Networks
Optimization
Quality of service
Quality of service architectures
Radio
scheduling
Utilities
wireless networks
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Summary:The cloud radio access network (C-RAN) is a promising architecture for future radio access networks (RANs) due to its advantages in cost efficiency, flexibility, and utilization efficiency. To fully reap these benefits, this paper focuses on joint optimization of user grouping, virtual base station (VBS) clustering, and transmit beamforming in C-RAN downlink networks for maximizing the system utility, subject to the diverse quality-of-service (QoS) requirements of users and the power constraints of distributed remote radio heads (RRHs). To tackle the high computational complexity in solving the nonconvex combinatorial optimization problem, a two-stage solution is proposed. Specifically, a dynamic user-centric scheduling algorithm is developed to form user groups and cluster RRHs into VBSs by exploiting the nonuniform distribution of users. Then, an iterative transmit beamformer optimization algorithm is devised to coordinate the transmit beamforming among the VBSs to mitigate the intracell and intercell interference, hence further enhancing the overall system utility. Evaluation results demonstrate that the proposed algorithm achieves significant performance gain over various reference algorithms in terms of system utility, system throughput, and energy efficiency.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2015.2464278