A joint design of transmit antenna selection and multiuser scheduling for multiuser MIMO systems employing block diagonalization precoding scheme

Wang, Feng; Bialkowski, M.E.

doi:10.1109/wcsp.2011.6096865

Cited by 2 publications

(4 citation statements)

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“…The exhaustive enumeration with capacity criticism is optimal, but requires infeasible complexity. As a result, several suboptimal user selection algorithms are studied in [3][4][5][6][7]. These suboptimal user selection algorithms can be briefly categorized as capacity-based user selection scheme and Frobenius norm-based user selction scheme.…”

Section: Introductionmentioning

confidence: 99%

“…These suboptimal user selection algorithms can be briefly categorized as capacity-based user selection scheme and Frobenius norm-based user selction scheme. The principle of capacity-based user selection scheme is to select the first user with highest throughput and greedily select the candidate user which provides the highest total throughput together with those selected users which requires lots of singular value decompositions(SVDs) [3,4]. Meanwhile, the Frobenius norm-based selection algorithms have been proposed which either considers the norm of the channel gain vector [5] or the orthogonality between the selected channel vectors [6] and even jointly considered [7].…”

Section: Introductionmentioning

confidence: 99%

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Effective user selection algorithm for quantized precoding in massive MIMO

Fang

Zeng²,

et al. 2015

ICST Transactions on Scalable Information Systems

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The downlink of a multi-user massive MIMO wireless system is considered, where the base station equipped with a large number of antennas simultaneously serves multiple users. In this paper, an effective user selection algorithm is proposed for quantized precoding in massive MIMO systems. The algorithm aims at minimizing the correlation of precoders among users by relaxing the optimal problem to be convex and solving it using the Primal Newton's Barrier Method. The complexity of the proposed algorithm is relatively low and the performance shown by the numerical results is close to the exhaustive search method. The advantage of the proposed algorithm increasingly shows up as the transmit antennas increase significantly.

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Section: Introductionmentioning

confidence: 99%