Mobile converged networks: framework, optimization, and challenges

In this article, a new framework of mobile converged networks is proposed for flexible resource optimization over multi-tier wireless heterogeneous networks. Design principles and advantages of this new framework of mobile converged networks are discussed. Moreover, mobile converged network models based on interference coordination and energy efficiency are presented, and the corresponding optimization algorithms are developed. Furthermore, future challenges of mobile converged networks are identified to promote the study in modeling and performance analysis of mobile converged networks.

[1]  Xiaodong Yang,et al.  Intersystem Soft Handover for Converged DVB-H and UMTS Networks , 2008, IEEE Transactions on Vehicular Technology.

[2]  Tarik Taleb,et al.  Follow me cloud: interworking federated clouds and distributed mobile networks , 2013, IEEE Network.

[3]  Honglin Hu,et al.  Converged Mobile Cellular Networks and Wireless Sensor Networks for Machine-to-Machine Communications , 2012, KSII Trans. Internet Inf. Syst..

[4]  Cheng-Xiang Wang,et al.  Spectrum and Energy Efficiency Evaluation of Two-Tier Femtocell Networks With Partially Open Channels , 2014, IEEE Transactions on Vehicular Technology.

[5]  D. Stoyan,et al.  Stochastic Geometry and Its Applications , 1989 .

[6]  Jong Hyuk Park,et al.  Efficient sensor node authentication in third generation-wireless sensor networks integrated networks , 2011, IET Commun..

[7]  Yevgeni Koucheryavy,et al.  A QoS-guaranteed resource scheduling algorithm in high-speed mobile convergence network , 2013, 2013 IEEE Wireless Communications and Networking Conference Workshops (WCNCW).

[8]  Byungjun Bae,et al.  Hybrid DMB services based on mobile broadcast/communication converged networks , 2013, 2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB).

[9]  Cheng-Xiang Wang,et al.  Energy Efficiency Evaluation of Cellular Networks Based on Spatial Distributions of Traffic Load and Power Consumption , 2013, IEEE Transactions on Wireless Communications.

[10]  Wei Zhong,et al.  Network selection in heterogeneous wireless networks using learning automata , 2012, 2012 International Conference on Wireless Communications and Signal Processing (WCSP).

[11]  Yang Yang,et al.  Mobile cellular networks and wireless sensor networks: toward convergence , 2012, IEEE Communications Magazine.

[12]  Ping Wang,et al.  Energy-efficient data collection in WSN-MCN convergence architecture , 2012, 2012 IEEE 14th International Conference on Communication Technology.

[13]  Zygmunt J. Haas,et al.  Predictive distance-based mobility management for multidimensional PCS networks , 2003, TNET.

[14]  Raouf Boutaba,et al.  Completing the convergence puzzle: a survey and a roadmap , 2009, IEEE Wireless Communications.

[15]  LiangBen,et al.  Predictive distance-based mobility management for multidimensional PCS networks , 2003 .

[16]  T. Mattfeldt.  Stochastic Geometry and Its Applications , 1996 .