Capacity of Wireless Communication Systems Employing Antenna Arrays, a Tutorial Study
Wireless Personal Communications: An International Journal
EURASIP Journal on Wireless Communications and Networking
Random matrix theory and wireless communications
Communications and Information Theory
BER and outage probability approximations for LMMSE detectors on correlated MIMO channels
IEEE Transactions on Information Theory
Asymptotic performance of linear receivers in MIMO fading channels
IEEE Transactions on Information Theory
Low complexity cross-layer design for dense interference networks
WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
A central limit theorem for the SINR at the LMMSE estimator output for large-dimensional signals
IEEE Transactions on Information Theory
A multicode approach for high data rate UWB system design
IEEE Transactions on Communications
Capacity of a multiple-antenna fading channel with a quantized precoding matrix
IEEE Transactions on Information Theory
Diversity-multiplexing tradeoff for the MIMO static half-duplex relay
IEEE Transactions on Information Theory
| Hi-index | 755.14 |
We study the signal-to-interference (SIR) performance of linear multiuser receivers in random environments, where signals from the users arrive in “random directions.” Such a random environment may arise in a DS-CDMA system with random signature sequences, or in a system with antenna diversity where the randomness is due to channel fading. Assuming that such random directions can be tracked by the receiver, the resulting SIR performance is a function of the directions and therefore also random. We study the asymptotic distribution of this random performance in the regime where both the number of users K and the number of degrees of freedom N in the system are large, but keeping their ratio fixed. Our results show that for both the decorrelator and the minimum mean-square error (MMSE) receiver, the variance of the SIR distribution decreases like 1/N, and the SIR distribution is asymptotically Gaussian. We compute closed-form expressions for the asymptotic means and variances for both receivers. Simulation results are presented to verify the accuracy of the asymptotic results for finite-sized systems