Dynamic radio resource and interference management for MIMO-OFDMA mobile broadband wireless access systems

A multi-user multi-cell Multiple-Input Multiple Output/Orthogonal Frequency Division Multiple Access (MIMO/OFDMA) system for next generation Broadband Wireless Access (BWA) networks is studied, in which the Base Station (BS) or evolved Node B (eNB) has only knowledge of the statistics of the channel. A combination of MIMO and OFDMA could increase the spectral efficiency in a high speed network. We investigate methods with scalable channel feedback and we analyze the trade off between the amount of Channel State Information (CSI) to the transmitter and the system performance. The proposed schemes with limited feedback are combined with other cell interference reduction strategies based on cooperation for improving the performance of a coordinated multi-cell system under very dynamic conditions like high velocity and fast fading. Simulation results demonstrate that substantial gain is obtained by the proposed schemes which take advantage of the statistical information of the highly dynamic channel.

[1]  C Papathanasiou,et al.  Adaptive radio resource management in a sectored cell for broadband wireless access systems , 2010, 2010 IEEE 21st International Symposium on Personal, Indoor and Mobile Radio Communications Workshops.

[2]  András Rácz,et al.  Intercell Interference Coordination in OFDMA Networks and in the 3GPP Long Term Evolution System , 2009, J. Commun..

[3]  Mazin Al-Shalash,et al.  An Inter-Cell Interference Coordination Algorithm for OFDMA Forward Link , 2009, 2009 IEEE 70th Vehicular Technology Conference Fall.

[4]  X.E. Lin,et al.  Compact feedback for MIMO-OFDM systems over frequency selective channels , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[5]  Lan Chen,et al.  Multi-Codebook Based Beamforming and Scheduling for MIMO-OFDM Systems with Limited Feedback , 2008, IEICE Trans. Commun..

[6]  Michael Mao Wang,et al.  Dynamic resource allocation for interference management in orthogonal frequency division multiple access cellular communications , 2010, IET Commun..

[7]  Shirley Dex,et al.  JR 旅客販売総合システム(マルス)における運用及び管理について , 1991 .

[8]  Holger Boche,et al.  Channel capacity and capacity-range of beamforming in MIMO wireless systems under correlated fading with covariance feedback , 2004, IEEE Transactions on Wireless Communications.

[9]  Steven D. Gray,et al.  Transmit diversity in 3G CDMA systems , 2002, IEEE Commun. Mag..

[10]  Kenneth W. Shum,et al.  Convergence of Iterative Waterfilling Algorithm for Gaussian Interference Channels , 2007, IEEE Journal on Selected Areas in Communications.

[11]  Andrea J. Goldsmith,et al.  Transmitter optimization and optimality of beamforming for multiple antenna systems , 2004, IEEE Transactions on Wireless Communications.

[12]  Babak Daneshrad,et al.  Clustered OFDM with transmitter diversity and coding , 1996, Proceedings of GLOBECOM'96. 1996 IEEE Global Telecommunications Conference.

[13]  Andreas F. Molisch,et al.  On the Fundamentally Asynchronous Nature of Interference in Cooperative Base Station Systems , 2007, 2007 IEEE International Conference on Communications.

[14]  Xiaoxin Qiu,et al.  On the performance of adaptive modulation in cellular systems , 1999, IEEE Trans. Commun..

[15]  Jianzhong Zhang,et al.  Intercell Interference Coordination through Limited Feedback , 2010, Int. J. Digit. Multim. Broadcast..

[16]  Stefania Sesia,et al.  LTE - The UMTS Long Term Evolution, Second Edition , 2011 .

[17]  Robert W. Heath,et al.  Systematic Codebook Designs for Quantized Beamforming in Correlated MIMO Channels , 2007, IEEE Journal on Selected Areas in Communications.

[18]  Jos F. Sturm,et al.  A Matlab toolbox for optimization over symmetric cones , 1999 .

[19]  Robert W. Heath,et al.  What is the value of limited feedback for MIMO channels? , 2004, IEEE Communications Magazine.

[20]  Leandros Tassiulas,et al.  Downlink Transmission Optimization and Statistical Feedback Strategies in a Multi-User IEEE 802.16m System , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[21]  Stefan Parkvall,et al.  LTE: the evolution of mobile broadband , 2009, IEEE Communications Magazine.

[22]  Matti Latva-aho,et al.  Performance Evaluation of Adaptive MIMO-OFDM Systems with Limited Feedback Using Measurement Based Channel Models , 2011, Int. J. Wirel. Inf. Networks.

[23]  Antonio Valdovinos,et al.  Radio resource allocation for interference management in mobile broadband OFDMA based networks , 2010, CMC 2010.

[24]  Jia Chen,et al.  Time-Division Multiuser MIMO with Statistical Feedback , 2008, EURASIP J. Adv. Signal Process..

[25]  Li Li,et al.  A Novel Semi-Dynamic Inter-Cell Interference Coordination Scheme Based on User Grouping , 2009, 2009 IEEE 70th Vehicular Technology Conference Fall.

[26]  Mikko Valkama,et al.  Effect of high-velocity scenarios on the performance of MIMO LTE packet scheduling , 2011, Eighth International Multi-Conference on Systems, Signals & Devices.

[27]  John G. Proakis,et al.  Digital Communications , 1983 .

[28]  Stefania Sesia,et al.  LTE - The UMTS Long Term Evolution , 2009 .