A real-time services performance and interference mitigation for femtocell scenarios in LTE networks

In order to enhance the Quality of Service in LTE, femtocell architecture has been proposed as a promising solution. However, interference is the main weak point in femtocell scenarios which causes a serious impact on multimedia services performance. Femtocell interference mitigation in LTE networks is the principle objective of this paper. We propose an enhancement of the well known four-coloring method for interference mitigation by combining it with cooperative game theory. Our proposed scheme aims to provide a solution to effectively achieve femtocell interference mitigation while guaranteeing the bitrate application for real-time services. The basic metrics of quality of service (QoS) such as throughput, Packet Loss Ratio (PLR), delay and Signal-to-Interference-plus-Noise-Ratio (SINR) are investigated. Our simulation environment is derived from realistic scenarios in order to study the performance of real-time service like Video and VoIP applications. Throughout our numerical results, we demonstrate the improvement of QoS constraints along with balancing between interference reduction requirement and resource allocation efficiency for real-time applications.

[1]  Andre-Luc Beylot,et al.  Resource Allocation Using Shapley Value in LTE , 2011, PIMRC 2011.

[2]  Barry O'Neill,et al.  A problem of rights arbitration from the Talmud , 1982, Math. Soc. Sci..

[3]  H. Ekstrom QoS control in the 3GPP evolved packet system , 2009, IEEE Communications Magazine.

[4]  Paolo Santi,et al.  Approximation Algorithms for Wireless Link Scheduling With SINR-Based Interference , 2010, IEEE/ACM Transactions on Networking.

[5]  Ashwin Sampath,et al.  Distributed Interference Management and Scheduling in LTE-A Femto Networks , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[6]  Dusit Niyato,et al.  A Cooperative Game Framework for Bandwidth Allocation in 4G Heterogeneous Wireless Networks , 2006, 2006 IEEE International Conference on Communications.

[7]  Yong-Hwan Lee,et al.  Mitigation of Inter-Femtocell Interference with Adaptive Fractional Frequency Reuse , 2010, 2010 IEEE International Conference on Communications.

[8]  Sami Tabbane,et al.  A femtocells ressources allocation scheme in OFDMA based networks , 2010, The Second International Conference on Communications and Networking.

[9]  Ashwin Sampath,et al.  Downlink Scheduling for Multiclass Traffic in LTE , 2009, EURASIP J. Wirel. Commun. Netw..

[10]  Jie Zhang,et al.  OFDMA femtocells: A roadmap on interference avoidance , 2009, IEEE Communications Magazine.

[11]  Tara Ali-Yahiya,et al.  Resource allocation using Shapley value in LTE networks , 2011, 2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications.

[12]  Harald Haas,et al.  Femto-Cell Resource Partitioning , 2009, 2009 IEEE Globecom Workshops.

[13]  Gunther Auer,et al.  Graph-Based Dynamic Frequency Reuse in Femtocell Networks , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).

[14]  Preben E. Mogensen,et al.  An overview of downlink radio resource management for UTRAN long-term evolution , 2009, IEEE Communications Magazine.

[15]  Randy H. Katz,et al.  Characterizing packet audio streams from Internet multimedia applications , 2002, 2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333).

[16]  L. Shapley A Value for n-person Games , 1988 .

[17]  Giuseppe Piro,et al.  Simulating LTE Cellular Systems: An Open-Source Framework , 2011, IEEE Transactions on Vehicular Technology.

[18]  Hannes Ekström QoS control in the 3GPP evolved packet system , 2009, IEEE Commun. Mag..

[19]  Josef Noll,et al.  Collaborative Radio: Towards Sustainable Business in the Evolution of 4G , 2010, 2010 6th International Conference on Wireless and Mobile Communications.