The use of multiple-input multiple-output (MIMO) communication systems has attracted considerable attention due\nto capacity and performance improvements without increasing the required bandwidth or transmission power.\nAlthough MIMO improves the transmission rate and provides reliable communication, these advantages come at a\nhigh cost, since multiple radio frequency (RF) chains have to be employed. Therefore, cost-effective implementation\nof MIMO systems remains as an important challenge. In this sense, antenna selection techniques (AST) can help\nreduce the high cost of MIMO systems, while retaining most of their benefits; and in order to improve channel\ncapacity, transmission power can be allocated efficiently according to the channel experienced by each antenna\nelement. In this paper, we show the channel capacity improvement of MIMO systems, by combining the use of AST\nand transmission power allocation through the water-pouring algorithm (WPA) for different antenna configurations.\nWe apply WPA and allocate more power to the channel with better conditions, when the MIMO channel is Rayleigh\ndistributed and noise is Gaussian. By employing these two techniques (AST and WPA), we show that channel capacity\nis significantly improved, with higher capacity values than those obtained using traditional systems which just spread\nequal power among all the transmit antennas. We also show that bounds on the capacity can be considered when\nthese improvements are used in a MIMO system.
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