On Resource Scheduling of Wireless Converged Broadcasting and Cellular Networks with Popular Services Being Preferentially Delivered

This paper studies on Resource Scheduling (RS) of Wireless Converged Broadcasting and Cellular Networks (CBCN) with popular services being preferentially delivered. In the proposed model of CBCN, the popular services are preferentially delivered by Wireless Broadcasting and Buffering Network (WBBN), and the other less popular services are delivered by Cellular Network (CN) with point-to-point (p2p) mode. With the help of return channels in CBCN, WBBN, which is the broadcasting part of the CBCN, can preferentially broadcast the most popular services to users. As a result, the efficiency of the CBCN is improved. The capacity of the WBBN is studied. We prove that the capacity of the WBBN subjects to Power Law distribution. The minimal time to schedule all the services in the CBCN is researched. Simulations show that we can properly choose the broadcasting bandwidth in the CBCN and the numbers of the most popular services to be delivered by the BN to minimize the scheduling time. Simulations also show the more popular of the services the larger broadcasting bandwidth is preferred to and the smaller of the minimal scheduling time of the CBCN.

[1]  C.E. Shannon,et al.  Communication in the Presence of Noise , 1949, Proceedings of the IRE.

[2]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[3]  Keke Gai,et al.  Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing , 2016, J. Netw. Comput. Appl..

[4]  Thomas Erlebach,et al.  NP-Hardness of Broadcast Scheduling and Inapproximability of Single-Source Unsplittable Min-Cost Flow , 2002, SODA '02.

[5]  Nitin H. Vaidya,et al.  Log-time algorithms for scheduling single and multiple channel data broadcast , 1997, MobiCom '97.

[6]  Zhiyong Chen,et al.  Modeling and analysis of push-based wireless converged networks , 2013, 2013 IEEE Globecom Workshops (GC Wkshps).

[7]  Ming Lei,et al.  Scheduling on-demand broadcast with timing constraints , 2009, J. Parallel Distributed Comput..

[8]  S. Parkvall,et al.  LTE release 12 and beyond [Accepted From Open Call] , 2013, IEEE Communications Magazine.

[9]  Hui Liu,et al.  Push-Based Wireless Converged Networks for Massive Multimedia Content Delivery , 2014, IEEE Transactions on Wireless Communications.

[10]  Meikang Qiu,et al.  Resource scheduling for hybrid broadcasting and cellular networks , 2015, 2015 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting.

[11]  Chris Arney,et al.  Networks, Crowds, and Markets: Reasoning about a Highly Connected World (Easley, D. and Kleinberg, J.; 2010) [Book Review] , 2013, IEEE Technology and Society Magazine.

[12]  Keke Gai,et al.  Intrusion detection techniques for mobile cloud computing in heterogeneous 5G , 2016, Secur. Commun. Networks.

[13]  David Gomez-Barquero,et al.  5th generation mobile networks: A new opportunity for the convergence of mobile broadband and broadcast services , 2015, IEEE Communications Magazine.

[14]  E. David,et al.  Networks, Crowds, and Markets: Reasoning about a Highly Connected World , 2010 .

[15]  Petros Nicopolitidis,et al.  Using learning automata for adaptive push-based data broadcasting in asymmetric wireless environments , 2002, IEEE Trans. Veh. Technol..

[16]  Yan Shi,et al.  On channel estimation in hybrid broadcasting and cellular networks with high mobility , 2013, 2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB).

[17]  Hong Ji,et al.  Resource allocation for high-speed railway downlink MIMO-OFDM system using quantum-behaved particle swarm optimization , 2013, 2013 IEEE International Conference on Communications (ICC).

[18]  Xiang-Yang Li.  Multicast capacity of wireless ad hoc networks , 2009, TNET.

[19]  Yiyan Wu,et al.  FOBTV: Worldwide Efforts in Developing Next-Generation Broadcasting System , 2014, IEEE Transactions on Broadcasting.

[20]  Xiang-Yang Li.  Multicast Capacity of Wireless Ad Hoc Networks , 2009, IEEE/ACM Transactions on Networking.

[21]  Lada A. Adamic.  Zipf, Power-laws, and Pareto-a ranking tutorial , 2000 .

[22]  Jing Wang,et al.  Convergence of Communication and Broadcast Networks in Physical Layer , 2011, 2011 Fifth FTRA International Conference on Multimedia and Ubiquitous Engineering.