Matrix analysis
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
MIMO antenna subset selection with space-time coding
IEEE Transactions on Signal Processing
Capacity of MIMO systems with antenna selection
IEEE Transactions on Wireless Communications
Comments on broadcast channels
IEEE Transactions on Information Theory
On the achievable throughput of a multiantenna Gaussian broadcast channel
IEEE Transactions on Information Theory
Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels
IEEE Transactions on Information Theory
Sum capacity of Gaussian vector broadcast channels
IEEE Transactions on Information Theory
Sum power iterative water-filling for multi-antenna Gaussian broadcast channels
IEEE Transactions on Information Theory
Dirty-paper coding versus TDMA for MIMO Broadcast channels
IEEE Transactions on Information Theory
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In this paper, a low complexity antenna selection scheme for multi-antenna broadcast systems is developed. Using sum-rate capacity maximisation as the selection criteria, the proposed scheme exploits the duality principle of broadcast and multiple access channel in order to reduce the computational complexity. The performance of the proposed scheme under i.i.d. Rayleigh fading channel is then evaluated via Monte Carlo simulation under different system parameters, and its performance is compared to the full complexity brute force scheme. It is demonstrated that the scheme is able to achieve most of the gain available in the system with a considerably lower complexity.