TY - JOUR
T1 - Fronthaul-Aware Software-Defined Wireless Networks
T2 - Resource Allocation and User Scheduling
AU - Liu, Chen Feng
AU - Samarakoon, Sumudu
AU - Bennis, Mehdi
AU - Poor, H. Vincent
N1 - Funding Information:
Manuscript received April 3, 2017; revised August 10, 2017 and September 12, 2017; accepted October 25, 2017. Date of publication November 3, 2017; date of current version January 8, 2018. This work was supported in part by TEKES under Grant 2364/31/2014, in part by the Academy of Finland project CARMA, in part by the Nokia Foundation, and in part by the U.S. National Science Foundation under Grant CNS-1456793. This paper was presented in part at the IEEE Global Communications Conference Workshops, Washington, D.C., USA, December 2016 [1]. The associate editor coordinating the review of this paper and approving it for publication was C. Li. (Corresponding author: Chen-Feng Liu).
Publisher Copyright:
© 2002-2012 IEEE.
PY - 2018/1
Y1 - 2018/1
N2 - 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.
AB - 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.
KW - 5G
KW - Lyapunov optimization
KW - coarse correlated equilibrium (CCE)
KW - network utility maximization
KW - software-defined networking (SDN)
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U2 - 10.1109/TWC.2017.2768358
DO - 10.1109/TWC.2017.2768358
M3 - Article
AN - SCOPUS:85033709421
SN - 1536-1276
VL - 17
SP - 533
EP - 547
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 1
M1 - 8094947
ER -