Optimal Frame Splitting for Downlink MIMO Channels With Distributed Antenna Arrays

A frame-splitting (FS) scheme is proposed to exploit spatial diversity in the downlink wireless transmission from a base station (BS) to a mobile station (MS) that has multiple receive antennas. The BS has multiple geographically distributed arrays, each consisting of multiple transmit antennas. The scenario comprises a number of downlink multiple-input-multiple-output (MIMO) channels from different BS arrays to an MS with mutually independent Rayleigh-fading processes. A data frame from the BS for the MS is split into portions, which are consecutively transmitted from multiple BS arrays. For the FS transmission scheme, the distribution of information capacity is formulated on the basis of the FS fractional lengths of the portions. Analytical evaluation of the outage probability reveals the optimal setting of FS fractional lengths for the maximum diversity advantage based on knowledge of the long-term average signal-to-noise ratios (SNRs) of the downlink MIMO channels.

[1]  Gerard J. Foschini,et al.  Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas , 1996, Bell Labs Technical Journal.

[2]  Lin Dai,et al.  Capacity analysis in CDMA distributed antenna systems , 2005, IEEE Transactions on Wireless Communications.

[3]  Roshdy H. M. Hafez,et al.  Improved transmit null steering for MIMO-OFDM downlinks with distributed base station antenna arrays , 2006, IEEE Journal on Selected Areas in Communications.

[4]  Han Kyu Park,et al.  Genetic approach with a new representation for base station placement in mobile communications , 2001, IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211).

[5]  Jong-Gwan Yook,et al.  The determination of base station placement and transmit power in an inhomogeneous traffic distribution for radio network planning , 2002, Proceedings IEEE 56th Vehicular Technology Conference.

[6]  Alex B. Gershman,et al.  Space-time processing for MIMO communications , 2005 .

[7]  Shlomo Shamai,et al.  Information theoretic considerations for cellular mobile radio , 1994 .

[8]  A. James Distributions of Matrix Variates and Latent Roots Derived from Normal Samples , 1964 .

[9]  Jong-Moon Chung,et al.  Enhanced broadband wireless networking through macroscopic diversity combining applications of MIMO technology , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

[10]  Valentine A. Aalo,et al.  Performance of maximal-ratio diversity systems in a correlated Nakagami-fading environment , 1995, IEEE Trans. Commun..

[11]  C.C. Martin,et al.  Multiple-input multiple-output (MIMO) radio channel measurements , 2001, IEEE Antennas and Propagation Society International Symposium. 2001 Digest. Held in conjunction with: USNC/URSI National Radio Science Meeting (Cat. No.01CH37229).

[12]  Joseph M. Kahn,et al.  Fading correlation and its effect on the capacity of multielement antenna systems , 2000, IEEE Trans. Commun..

[13]  Moe Z. Win,et al.  On the capacity of spatially correlated MIMO Rayleigh-fading channels , 2003, IEEE Trans. Inf. Theory.

[14]  Jing Wang,et al.  Distributed wireless communication system: a new architecture for future public wireless access , 2003, IEEE Commun. Mag..

[15]  Adel A. M. Saleh,et al.  Distributed Antennas for Indoor Radio Communications , 1987, IEEE Trans. Commun..

[16]  J. Gil-Pelaez Note on the inversion theorem , 1951 .

[17]  J. H. Winters,et al.  Multiple-input multiple-output (MIMO) radio channel measurements , 2000, Proceedings of the 2000 IEEE Sensor Array and Multichannel Signal Processing Workshop. SAM 2000 (Cat. No.00EX410).

[18]  Liang Xiao,et al.  Spectral efficiency of distributed antenna system with random antenna layout , 2003 .

[19]  Georgios B. Giannakis,et al.  Outage mutual information of space-time MIMO channels , 2004, IEEE Transactions on Information Theory.

[20]  Tharmalingam Ratnarajah,et al.  Quadratic forms on complex random matrices and multiple-antenna systems , 2005, IEEE Transactions on Information Theory.

[21]  P. Hughett Error Bounds for Numerical Inversion of a Probability Characteristic Function , 1998 .

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

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

[24]  Lizhong Zheng,et al.  Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels , 2003, IEEE Trans. Inf. Theory.