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The performance improvement of the MIMO system combined with antenna selection has already been studied extensively. But the emergence of new system concepts, such as cognitive radio, brings this topic into the research focus again. In this paper we set up a new model of MIMO multiuser systems, the closed-form expression of the average bit error rate (BER) and channel capacity are derived. These significant...
In downlink broadcast channels, the multiple-antenna base station (BS) often communicates with several users simultaneously. However, the co-channel interference increases as the number of users increases, therefore, BS can not afford too many users. So user selection is necessary. In this paper, we propose a suboptimal user selection algorithm based on signal-to-leakage-noise ratio (SLNR) for the...
In this paper, a receive antenna selection algorithm based on the theory of convex optimization is proposed to improve the system performance over Rayleigh fading multiple-input multiple-output (MIMO) channels. The algorithm is based on the aim of minimizing error rate, and by relaxing the antenna selection variables from discrete to continuous, we arrive at a standard semidefinite convex problem...
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