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In this work, a reduced complexity simulated annealing user scheduling algorithm to maximize the sum rate for the downlink of a coordinated multicell multiple-input multiple-output (MIMO) system is proposed. The users' data signals are transmitted cooperatively via the base stations of a cluster within the sectorized multicell heterogeneous cellular network. Assuming perfect channel state information, the performance of this system with the proposed algorithm is investigated. The simulations demonstrate the effectiveness of the proposed method in terms of sum rate, which is very close to the performance of the optimal but highly complex exhaustive search at much lower complexity.

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