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MIMO Detection for High Order QAM by Canonical Dual Approach

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  • Ye Tian
  • Jr-Fong Dang

Abstract

We develop a canonical dual approach for solving the MIMO problem. First, a special linear transformation is introduced to reformulate the original problem into a constrained quadratic programming problem. Then, we derive a canonical dual problem which is piecewise continuous problem with no duality gap. Under certain conditions, the canonical problem becomes a concave maximization dual problem over a convex feasible domain. By getting the stationary point of the canonical dual problem, we can find either an optimal or approximate solution of the original problem. A gradient decent algorithm is proposed to solve the MIMO problem and simulation results are provided to demonstrate the effectiveness of the method.

Suggested Citation

  • 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.
    • Handle: RePEc:hin:jnljam:201369
    DOI: 10.1155/2015/201369
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    Cited by:

    1. 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.

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