Optimization Framework for Uplink Video Transmission in HetNets

To deal with the explosion of mobile traffic, network operators deploy heterogeneous networks (HetNet), a combination of macro and pico eNodeBs. In this paper, we propose an optimization framework for the study of the optimal performances of HetNet on the uplink. We focus on video traffic because technologies like WebRTC allow mobile users to upload live video streams in cellular networks. Optimization model for uplink is much more complex than for downlink, for which previous works exist. Our model integrates both network management (radio resource allocation, user-cell association, interference management) and video (encoding bit-rate, QoE metrics). We apply our framework on an use case and reveal the complexity of HetNet management due to the interplay between several parameters.

[1]  Jeffrey G. Andrews,et al.  User Association for Load Balancing in Heterogeneous Cellular Networks , 2012, IEEE Transactions on Wireless Communications.

[2]  Kemal Davaslioglu,et al.  Interference-based cell selection in heterogenous networks , 2013, 2013 Information Theory and Applications Workshop (ITA).

[3]  Zhong Zheng,et al.  Interference management for LTE-Advanced Het-Nets: stochastic scheduling approach in frequency domain , 2013, Trans. Emerg. Telecommun. Technol..

[4]  Loutfi Nuaymi,et al.  The Zewall Project: Real-Time Delivering of Events via Portable Devices , 2013, 2013 IEEE 77th Vehicular Technology Conference (VTC Spring).

[5]  Catherine Rosenberg,et al.  Joint Resource Allocation and User Association for Heterogeneous Wireless Cellular Networks , 2013, IEEE Transactions on Wireless Communications.

[6]  Zhangdui Zhong,et al.  Challenges on wireless heterogeneous networks for mobile cloud computing , 2013, IEEE Wireless Communications.

[7]  Yongbin Wei,et al.  A survey on 3GPP heterogeneous networks , 2011, IEEE Wireless Communications.

[8]  Supratim Deb,et al.  Learning-Based Uplink Interference Management in 4G LTE Cellular Systems , 2013, IEEE/ACM Transactions on Networking.

[9]  Muhammad Ali Imran,et al.  Energy efficiency in heterogeneous wireless access networks , 2013, IEEE Wireless Communications.