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Likelihood-Based Tree Search for Low Complexity Detection in Large MIMO Systems | IEEE Journals & Magazine | IEEE Xplore

Likelihood-Based Tree Search for Low Complexity Detection in Large MIMO Systems


Abstract:

A recently reported result on large/massive multiple-input multiple-output (MIMO) detection shows the utility of the branch and bound (BB)-based tree search approach for ...Show More

Abstract:

A recently reported result on large/massive multiple-input multiple-output (MIMO) detection shows the utility of the branch and bound (BB)-based tree search approach for this problem. We can consider strong branching for improving upon this approach. However, that will require the solution of a large number of quadratic programs (QPs). We propose a likelihood based branching criteria to reduce the number of QPs required to be solved. We combine this branching criteria with a node selection strategy to achieve a better error performance than the reported BB approach, that too at a lower computational complexity. Simulation results show that the proposed algorithm outperforms the available detection algorithms for large MIMO systems.
Published in: IEEE Wireless Communications Letters ( Volume: 6, Issue: 4, August 2017)
Page(s): 450 - 453
Date of Publication: 09 May 2017

ISSN Information:


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