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For the resource allocation and scheduling of downlink multi-user multiple input multiple output (MU-MIMO) system, a multi-user proportional fair scheduling scheme based on genetic algorithms (GA) is proposed. By adding some good-gene individuals to the initial population and keeping its gene stable, the convergence of GA is greatly accelerated. Specifically, the base station exploits Block Diagonalization...
The combined block diagonalization and geometric mean decomposition (BD-GMD) is a preceding scheme that is asymptotically optimal for downlink multi-user multiple-input-multiple-output (MU-MIMO) systems. The number of simultaneously supportable users with BD-GMD is limited by the number of transmitting and receiving antennas. In a downlink MU-MIMO system with a large number of users, the base station...
In MIMO systems, the multi-user diversity is exploited by always scheduling the subscribers whose channel conditions are almost in their peaks. The throughput of system is increased but the fairness is ignored, even some subscribers will be "starvation". In this paper, the fairness of the MIMO systems is concerned and two adaptive proportional fair scheduling schemes based on opportunistic...
In this paper, we propose a novel two-step antenna selection algorithm for downlink Distributed Multiple Input Multiple Output (D-MIMO) systems. First, the distributed antenna cluster is selected based on maximum path fading, and then the antennas in the selected antenna clusters are chosen utilizing the permutation and QR decomposition (IC-PQRD) method. The analysis and simulation results show that...
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