Self-configuring Switched Multi-Element Antenna system for interference mitigation in femtocell networks

This paper introduces a Switched Multi-Element Antenna (SMEA) solution for interference mitigation in femtocell networks. While the main objective is to protect the femtocell users against uplink interference, the downlink interference from femtocell base stations to the other users is simultaneously reduced as a by-product of this technique. A tailored form of reinforcement learning is used to allow for self-configuration of the femtocell base station and to adaptively select the optimal antenna configuration in a time varying environment. Compared to the traditional Omni-directional antenna systems, the results show an average of 2.5dB gain in uplink direction in terms of reduced transmission power and approximately 1dB of gain in the downlink channel.

[1]  Brian W. Kernighan,et al.  WISE design of indoor wireless systems: practical computation and optimization , 1995 .

[2]  Jeffrey G. Andrews,et al.  Femtocell networks: a survey , 2008, IEEE Communications Magazine.

[3]  Youngju Kim,et al.  Beam Subset Selection Strategy for Interference Reduction in Two-Tier Femtocell Networks , 2010, IEEE Transactions on Wireless Communications.

[4]  Morten Tolstrup Indoor Radio Planning: A Practical Guide for GSM, DCS, UMTS and HSPA , 2008 .

[5]  Stana Zivanovic,et al.  Probability-based estimation of vibration for pedestrian structures due to walking , 2006 .

[6]  Qixun Zhang,et al.  Cognitive Optimization Scheme of Coverage for Femtocell Using Multi-Element Antenna , 2010, 2010 IEEE 72nd Vehicular Technology Conference - Fall.

[7]  Richard S. Sutton,et al.  Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dynamic Programming , 1990, ML.

[8]  Shie Mannor,et al.  PAC Bounds for Multi-armed Bandit and Markov Decision Processes , 2002, COLT.

[9]  A.A.M. Saleh,et al.  A Statistical Model for Indoor Multipath Propagation , 1987, IEEE J. Sel. Areas Commun..

[10]  Tom M. Mitchell,et al.  Reinforcement learning with hidden states , 1993 .

[11]  Jong-Gwan Yook,et al.  Interference mitigation using uplink power control for two-tier femtocell networks , 2009, IEEE Transactions on Wireless Communications.

[12]  Holger Claussen,et al.  Self-optimization of femtocell coverage to minimize the increase in core network mobility signalling , 2009 .

[13]  Richard S. Sutton,et al.  Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.

[14]  Holger Claussen,et al.  Efficient modelling of channel maps with correlated shadow fading in mobile radio systems , 2005, 2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications.

[15]  Jeffrey G. Andrews,et al.  Coverage in multi-antenna two-tier networks , 2009, IEEE Transactions on Wireless Communications.

[16]  Astro Teller,et al.  The evolution of mental models , 1994 .

[17]  Michael A. Jensen,et al.  Modeling the statistical time and angle of arrival characteristics of an indoor multipath channel , 2000, IEEE Journal on Selected Areas in Communications.

[18]  V. Erceg,et al.  TGn Channel Models , 2004 .