Random matrix theory and wireless communications
Communications and Information Theory
Space-time water-filling for composite MIMO fading channels
EURASIP Journal on Wireless Communications and Networking
Characterization and analysis of multi-hop wireless MIMO network throughput
Proceedings of the 8th ACM international symposium on Mobile ad hoc networking and computing
Opportunistic spectral usage: bounds and a multi-band CSMA/CA protocol
IEEE/ACM Transactions on Networking (TON)
Ei-Transform: a useful and general framework for channel capacity analysis over fading channels
SARNOFF'09 Proceedings of the 32nd international conference on Sarnoff symposium
Transmit Antenna Selection with Optimal Power Allocation and Channel Estimation Error
Wireless Personal Communications: An International Journal
Analytical comparison of power allocation methods in MIMO systems with singular value decomposition
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Rate adaptation in MIMO antenna selection system with imperfect CSIT
COMSNETS'10 Proceedings of the 2nd international conference on COMmunication systems and NETworks
Zero-forcing DFE transceiver design over slowly time-varying MIMO channels using ST-GTD
IEEE Transactions on Signal Processing
EURASIP Journal on Wireless Communications and Networking
On a model and capacity of MIMO channels
Problems of Information Transmission
Hi-index | 754.84 |
The capacity of multiple-antenna systems operating in Rayleigh flat fading is considered under the assumptions that channel state information (CSI) is available at both transmitter and receiver, and that the transmitter is subjected to an average power constraint. First, the capacity of such systems is derived for the special case of multiple transmit antennas and a single receive antenna. The optimal power-allocation scheme for such a system is shown to be a water-filling algorithm, and the corresponding capacity is seen to be the same as that of a system having multiple receive antennas (with a single transmitter antenna) whose outputs are combined via maximal ratio combining. A suboptimal adaptive transmission technique that transmits only over the antenna having the best channel is also proposed for this special case. It is shown that the capacity of such a system under the proposed suboptimal adaptive transmission scheme is the same as the capacity of a system having multiple receiver antennas (with a single transmitter antenna) combined via selection combining. Next, the capacity of a general system of multiple transmitter and receiver antennas is derived together with an equation that determines the cutoff value for such a system. The optimal power allocation scheme for such a multiple-antenna system is given by a matrix water-filling algorithm. In order to eliminate the need for cumbersome numerical techniques in solving the cutoff equation, approximate expressions for the cutoff transmission value are also provided. It is shown that, compared to the case in which there is only receiver CSI, large capacity gains are available with optimal power and rate adaptation schemes. The increased capacity is shown to come at the price of channel outage, and bounds are derived for this outage probability.