Interference mitigation by dynamic self-power control in femtocell scenarios in LTE networks

Efficient radio resource management and Quality of Service (QoS) guarantee are very important aspects in order to provide a good service in LTE Networks. Although the base station performs a smart scheduling scheme for resource allocation, the expected result could be affected due to interference, specially in femtocell scenarios. This article investigates the problem of interference in femtocell networks in LTE. The proposed method achieves inter-cell interference mitigation though a dynamic power self-control performed at each femtocell. In this paper we use the modulation and coding scheme (MCS) to obtain the optimum power value which assures a trade-off between Signal-to-Interference-plus-Noise-Ratio (SINR) and bit-rate efficiency. The main objective of our work is to optimize the sub-bands in order to decrease the interference and maintain the throughput at the same time. The performance evaluation is conducted in terms of throughput, Packet Loss Ratio (PLR) and SINR.

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

[2]  Matthew Andrews,et al.  Providing quality of service over a shared wireless link , 2001, IEEE Commun. Mag..

[3]  Hailin Zhang,et al.  Adapative resource allocation for downlink OFDMA networks using cooperative game theory , 2008, 2008 11th IEEE Singapore International Conference on Communication Systems.

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

[5]  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.

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

[7]  Michael L. Honig,et al.  Distributed interference compensation for wireless networks , 2006, IEEE Journal on Selected Areas in Communications.

[8]  Mihaela van der Schaar,et al.  Bargaining Strategies for Networked Multimedia Resource Management , 2007, IEEE Transactions on Signal Processing.

[9]  Zaher Dawy,et al.  A Game Theoretical Formulation for Proportional Fairness in LTE Uplink Scheduling , 2009, 2009 IEEE Wireless Communications and Networking Conference.

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

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

[12]  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).

[13]  Zhu Han,et al.  Fair multiuser channel allocation for OFDMA networks using Nash bargaining solutions and coalitions , 2005, IEEE Transactions on Communications.

[14]  Honghai Zhang,et al.  Weighted Sum-Rate Maximization in Multi-Cell Networks via Coordinated Scheduling and Discrete Power Control , 2011, IEEE Journal on Selected Areas in Communications.

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

[16]  Nageen Himayat,et al.  Interference management for 4G cellular standards [WIMAX/LTE UPDATE] , 2010, IEEE Communications Magazine.

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

[18]  J. Nash,et al.  NON-COOPERATIVE GAMES , 1951, Classics in Game Theory.