Information capacity of a random signature multiple-input multiple-output channel

Capacity of multiple-transmit multiple-receive antenna architectures

“…With these considerations, the asymptotic capacity per dimension derived in [17] and [32] for synchronous CDMA can be modified to express the noise-limited asymptotic capacity per receive antenna as C (; SNR) = log 2 1 + SNR 0 F ; …”

Multiantenna Technology for High-Speed Wireless Internet Access

“…For the sake of concreteness, we consider a symmetric scenario with n = n T = n R , but similar analysis can be performed for n T π n R . As n is driven to inÞnity, the bandwidth efÞciency converges 18,19 to (14.12) indicating that the bandwidth efÞciency grows linearly with the number of (uncorrelated) antennas, which is a key result that contrasts with conventional diversity systems, using multiple antennas at either transmitter or receiver exclusively, wherein the growth is at best logarithmic. The bandwidth efÞciency becomes particularly revealing at high SINR, wherein Equation 14.12 particularizes 9 to The attainable throughput in B = 5 MHz as a function of the range is depicted in Figure 14.3, parameterized by the number of transmit-and-receive antennas.…”

On a Gaussian approximation to the capacity of wireless MIMO systems

“…Due to the complexity of (5) it would be desirable to approximate the variance, perhaps by a limiting approach such as in [2,6]. To date, no such result is available although the case where is a real Gaussian matrix has been derived in [7].…”

“…However to compute the Gaussian approximation we require the mean and variance of the capacity. For the Rayleigh case Telatar [2] has derived an exact expression for the mean and Rapajic and Popescu [6] computed the limiting value of the mean in the above sense. Neither Telatar, nor Rapajic evaluate the variance of channel capacity and so this is done in the Appendix.…”

“…The relevant capacity for such a channel is expressed as to fit the Gaussian approximation. For the Rayleigh case the mean was given exactly by Telatar [2], see (8), and the limiting value by Rapajic and Popescu [6]. The exact variance is derived in the Appendix following Telatar's approach and is given below:…”