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Fronthaul-Aware Software-Defined Wireless Networks: Resource Allocation and User Scheduling

Author(s): Liu, CF; Samarakoon, S; Bennis, M; Poor, HV

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Abstract: Software-defined networking (SDN) provides an agile and programmable way to optimize radio access networks via a control-data plane separation. Nevertheless, reaping the benefits of wireless SDN hinges on making optimal use of the limited wireless fronthaul capacity. In this paper, the problem of fronthaul-aware resource allocation and user scheduling is studied. To this end, a two-timescale fronthaul-aware SDN control mechanism is proposed in which the controller maximizes the time-averaged network throughput by enforcing a coarse correlated equilibrium in the long timescale. Subsequently, leveraging the controller's recommendations, each base station schedules its users using Lyapunov stochastic optimization in the short timescale, i.e., at each time slot. Simulation results show that significant network throughput enhancements and up to 40% latency reduction are achieved with the aid of the SDN controller. Moreover, the gains are more pronounced for denser network deployments.
Publication Date: 1-Jan-2018
Citation: Liu, CF, Samarakoon, S, Bennis, M, Poor, HV. (2018). Fronthaul-Aware Software-Defined Wireless Networks: Resource Allocation and User Scheduling. IEEE Transactions on Wireless Communications, 17 (1), 533 - 547. doi:10.1109/TWC.2017.2768358
DOI: doi:10.1109/TWC.2017.2768358
ISSN: 1536-1276
EISSN: 1558-2248
Pages: 533 - 547
Type of Material: Journal Article
Journal/Proceeding Title: IEEE Transactions on Wireless Communications
Version: Author's manuscript

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