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

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.

[1]  Xianfu Chen,et al.  SoftMobile: control evolution for future heterogeneous mobile networks , 2014, IEEE Wireless Communications.

[2]  Mehdi Bennis,et al.  Fronthaul-Aware Software-Defined Joint Resource Allocation and User Scheduling for 5G Networks , 2016, 2016 IEEE Globecom Workshops (GC Wkshps).

[3]  Samson Lasaulce,et al.  Mechanisms and Games for Dynamic Spectrum Allocation: Game-theoretic solution concepts and learning algorithms* , 2013 .

[4]  Ian F. Akyildiz,et al.  SoftAir: A software defined networking architecture for 5G wireless systems , 2015, Comput. Networks.

[5]  J. Little.  A Proof for the Queuing Formula: L = λW , 1961 .

[6]  Longbo Huang,et al.  The power of online learning in stochastic network optimization , 2014, SIGMETRICS '14.

[7]  Tho Le-Ngoc,et al.  Enabling 5G mobile wireless technologies , 2015, EURASIP Journal on Wireless Communications and Networking.

[8]  Zhu Han,et al.  A distributed ADMM approach for mobile data offloading in software defined network , 2015, 2015 IEEE Wireless Communications and Networking Conference (WCNC).

[9]  Xianfu Chen,et al.  Software defined mobile networks: concept, survey, and research directions , 2015, IEEE Communications Magazine.

[10]  Mehdi Bennis,et al.  Learning coarse correlated equilibria in two-tier wireless networks , 2012, 2012 IEEE International Conference on Communications (ICC).

[11]  Zhu Han,et al.  Delay-tolerant resource scheduling in large-scale virtualized radio access networks , 2017, 2017 IEEE International Conference on Communications (ICC).

[12]  Ulas C. Kozat,et al.  A new control plane for 5G network architecture with a case study on unified handoff, mobility, and routing management , 2014, IEEE Communications Magazine.

[13]  Matti Latva-aho,et al.  Backhaul-Aware Interference Management in the Uplink of Wireless Small Cell Networks , 2013, IEEE Transactions on Wireless Communications.

[14]  Sachin Katti,et al.  SoftRAN: software defined radio access network , 2013, HotSDN '13.

[15]  H. Vincent Poor,et al.  Fronthaul-constrained cloud radio access networks: insights and challenges , 2015, IEEE Wireless Communications.

[16]  Michael J. Neely,et al.  A Lyapunov optimization approach to repeated stochastic games , 2013, 2013 51st Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[17]  Xianfu Chen,et al.  A double auction mechanism for virtual resource allocation in SDN-based cellular network , 2016, 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[18]  Athanasios V. Vasilakos,et al.  Software-Defined and Virtualized Future Mobile and Wireless Networks: A Survey , 2014, Mobile Networks and Applications.

[19]  Ioannis Gasparis,et al.  Programming Flows in Dense Mobile Environments: A Multi-user Diversity Perspective , 2015, ArXiv.

[20]  PROPAGATION DATA AND PREDICTION METHODS FOR THE PLANNING OF INDOOR RADIOCOMMUNICATION SYSTEMS AND RADIO LOCAL AREA NETWORKS IN THE FREQUENCY RANGE 900 MHz TO 100 GHz , 1997 .

[21]  Stephen P. Boyd,et al.  Variations and extension of the convex–concave procedure , 2016 .

[22]  Zhu Han,et al.  Foresighted resource scheduling in software-defined radio access networks , 2015, 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

[23]  Ulas C. Kozat,et al.  Stochastic Game for Wireless Network Virtualization , 2013, IEEE/ACM Transactions on Networking.

[24]  Jeffrey G. Andrews,et al.  Femtocells: Past, Present, and Future , 2012, IEEE Journal on Selected Areas in Communications.

[25]  Bo Fan,et al.  SDN Based Optimal User Cooperation and Energy Efficient Resource Allocation in Cloud Assisted Heterogeneous Networks , 2017, IEEE Access.

[26]  M Kobayashi,et al.  Green Small-Cell Networks , 2011, IEEE Vehicular Technology Magazine.