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Lv L.,National Key Laboratory of Science and Technology on Communications of China | Zhang Z.,National Key Laboratory of Science and Technology on Communications of China
Journal of Networks | Year: 2013

This letter proposes a limited feedback-based selfish linear precoding (SLP) strategy for downlink twouser MIMO systems. In the proposed strategy, each user selfishly chooses the other user's precoding matrix which minimizes its capacity loss. The proposed SLP strategy has two advantages comparing with traditional linear precoding strategies. First, SLP improves the system capacity by resisting interference more effectively. Second, the computing complexity of transmitter is reduced since the base station needs not to calculate precoding matrix. Simulation results verify the effectiveness of SLP on system capacity improvement comparing to limited feedback block diagonalization (LFBD) algorithm, especially when feedback bits are insufficient. © 2013 ACADEMY PUBLISHER.


Xia X.,National Key Laboratory of Science and Technology on Communications of China | Fang S.,National Key Laboratory of Science and Technology on Communications of China | Wu G.,National Key Laboratory of Science and Technology on Communications of China | Li S.,National Key Laboratory of Science and Technology on Communications of China
IEEE Communications Letters | Year: 2010

In this paper, we propose a joint user pairing and precoding scheme in MU-MIMO broadcast channel with limited feedback. In the proposed scheme, each user feeds back its preferable precoding vector index and two scalars denoting quantization error and the largest singular value of channel matrix, respectively. Base station (BS) selects the first user who has highest estimated SINR, and generates a unitary precoding matrix based on the first user's preferred precoding vector. Then, BS selects users one by one. In each step, BS calculates the estimated SINR for each un-selected user, using the generated precoding vector, and then chooses the user with largest estimated SINR. Numerical results verify its effectiveness. © 2010 IEEE.

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