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A new effective branch-and-bound algorithm to the high order MIMO detection problem

Author

Listed:
  • Ye Tian

    (Southwestern University of Finance and Economics)

  • Ke Li

    (Southwestern University of Finance and Economics)

  • Wei Yang

    (Southwestern University of Finance and Economics)

  • Zhiyong Li

    (Southwestern University of Finance and Economics)

Abstract

This paper develops a branch-and-bound method based on a new convex reformulation to solve the high order MIMO detection problem. First, we transform the original problem into a $$\{-1,1\}$$ { - 1 , 1 } constrained quadratic programming problem with the smallest size. The size of the reformulated problem is smaller than those problems derived by some traditional transformation methods. Then, we propose a new convex reformulation which gets the maximized average objective value as the lower bound estimator in the branch-and-bound scheme. This estimator balances very well between effectiveness and computational cost. Thus, the branch-and-bound algorithm achieves a high total efficiency. Several simulations are used to compare the performances of our method and other benchmark methods. The results show that this proposed algorithm is very competitive for high accuracy and relatively good efficiency.

Suggested Citation

  • Ye Tian & Ke Li & Wei Yang & Zhiyong Li, 2017. "A new effective branch-and-bound algorithm to the high order MIMO detection problem," Journal of Combinatorial Optimization, Springer, vol. 33(4), pages 1395-1410, May.
  • Handle: RePEc:spr:jcomop:v:33:y:2017:i:4:d:10.1007_s10878-016-0045-5
    DOI: 10.1007/s10878-016-0045-5
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    References listed on IDEAS

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    1. Ye Tian & Jr-Fong Dang, 2015. "MIMO Detection for High Order QAM by Canonical Dual Approach," Journal of Applied Mathematics, Hindawi, vol. 2015, pages 1-8, April.
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    Cited by:

    1. Shuchen Wang & Suixiang Gao & Wenguo Yang, 2023. "Pilot pattern design scheme with branch and bound in PSA-OFDM system," Journal of Combinatorial Optimization, Springer, vol. 45(4), pages 1-16, May.

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