Array gain and capacity for known random channels with multiple element arrays at both ends
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- 1 November 2000
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Journal on Selected Areas in Communications
- Vol. 18 (11) , 2172-2178
- https://doi.org/10.1109/49.895022
Abstract
Two arrays with M and N elements are connected via a scattering medium giving uncorrelated antenna signals. The link array gain relative to the case of one element at each end is treated for the situation where the channels are known at the transmitter and receiver. It is shown that the maximum mean gain achieved through adaptive processing at both the transmitter and the receiver is less than the free space gain, and cannot be expressed as a product of separate gains. First, by finding the singular values of the transmission matrix, fundamental limitations concerning the maximum gain and the diversity orders are given, indicating that the gain is upper bounded by (/spl radic/M+/spl radic/N)/sup 2/ and the diversity order is MN. Next an iterative technique for reciprocal channels which maximizes power at each stage transmitting back and forth is described. The capacity or spectral efficiency of the random channel is described, and it is indicated how the capacity is upper bounded by N parallel channels of gain M(N<M) for large values of N and M.Keywords
This publication has 7 references indexed in Scilit:
- Layered space-time architecture for wireless communication in a fading environment when using multi-element antennasBell Labs Technical Journal, 2002
- Space-time codes for high data rate wireless communication: performance criterion and code constructionIEEE Transactions on Information Theory, 1998
- Spatio-temporal coding for wireless communicationIEEE Transactions on Communications, 1998
- On the Capacity of Radio Communication Systems with Diversity in a Rayleigh Fading EnvironmentIEEE Journal on Selected Areas in Communications, 1987
- The Smallest Eigenvalue of a Large Dimensional Wishart MatrixThe Annals of Probability, 1985
- A Limit Theorem for the Norm of Random MatricesThe Annals of Probability, 1980
- Distributions of Matrix Variates and Latent Roots Derived from Normal SamplesThe Annals of Mathematical Statistics, 1964