MIMO-OFDMA Opportunistic Beamforming with Partial Channel State Information

Over the past few years, a lot of interest has focused on Orthogonal Frequency Division Multiple Access (OFDMA) and Multiple Input Multiple Output (MIMO) systems thanks to the tremendous gain on system capacity they offer. Transmit beamforming is a low complexity technique that helps in achieving the full diversity afforded by the multiple antenna environment. MIMO-OFDMA systems using opportunistic beamforming are a promising solution to satisfy the growing demand in terms of data rate and Quality of Service (QoS). An important practical issue in MIMO-OFDMA systems is the feedback load. As a large number of carriers (e.g. 2048 for WiMax) is usually used in such systems, feeding back full Channel State Information at the transmitter (CSIT) for each carrier is prohibitive. In this paper, the problem of feedback reduction in MIMO-OFDMA opportunistic beamforming is addressed. We present different partial CSIT schemes that reduce significantly the feedback overload at little expense of system throughput.

[1]  Babak Hassibi,et al.  On the capacity of MIMO broadcast channels with partial side information , 2005, IEEE Transactions on Information Theory.

[2]  L.J. Cimini,et al.  A simplified opportunistic feedback and scheduling scheme for OFDM , 2004, 2004 IEEE 59th Vehicular Technology Conference. VTC 2004-Spring (IEEE Cat. No.04CH37514).

[3]  Holger Boche,et al.  Channel aware scheduling for multiple antenna multiple access channels , 2003, The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.

[4]  Raymond Knopp,et al.  Channel allocation algorithms for multi-carrier systems , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

[5]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[6]  Babak Hassibi,et al.  On the capacity of MIMO broadcast channel with partial side information , 2003, The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.

[7]  Babak Hassibi,et al.  Scaling laws of sum rate using time-sharing, DPC, and beamforming for MIMO broadcast channels , 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..

[8]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[9]  David Tse,et al.  Opportunistic beamforming using dumb antennas , 2002, IEEE Trans. Inf. Theory.

[10]  Babak Hassibi,et al.  On the capacity of MIMO broadcast channels with partial channel state information , 2003 .

[11]  Marios Kountouris,et al.  Power Allocation and Feedback Reduction for MIMO-OFDMA Opportunistic Beamforming , 2006, 2006 IEEE 63rd Vehicular Technology Conference.

[12]  David Gesbert,et al.  From theory to practice: an overview of MIMO space-time coded wireless systems , 2003, IEEE J. Sel. Areas Commun..

[13]  M. J. Gans,et al.  On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas , 1998, Wirel. Pers. Commun..

[14]  Shlomo Shamai,et al.  On the achievable throughput of a multiantenna Gaussian broadcast channel , 2003, IEEE Transactions on Information Theory.

[15]  Yan Li Paper Summary on: P. V. Viswanath, D. Tse and R. Laroia, Opportunistic Beamforming Using Dumb Antennas , 2005 .

[16]  Raymond Knopp,et al.  Multiuser channel allocation algorithms achieving hard fairness , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

[17]  R. Knopp,et al.  Multiple-accessing over frequency-selective fading channels , 1995, Proceedings of 6th International Symposium on Personal, Indoor and Mobile Radio Communications.