K-best branch and bound technique for the MINLP resource allocation in multi-user OFDM systems

Youssef Jaffal, Y. Nasser, Y. Corre, Y. Lostanlen
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引用次数: 3

Abstract

In this paper, we propose a simplified approach for the Mixed Integer Non-linear Programming (MINLP) problem in the context of dynamic resource allocation for multiuser downlink Orthogonal Frequency Division Multiplexing (OFDM) systems. Our solution is based on the appropriate selection of the K-best branches of the branch and bound technique. The proposed algorithm significantly decreases the computational complexity of the conventional branch and bound technique, yet with a slight reduction in the average user throughput. Simulations results show that a trade-off between complexity decrease and performance reduction could be maintained with the proposed algorithm.
多用户OFDM系统中MINLP资源分配的k -最优分支定界技术
本文针对多用户下行正交频分复用(OFDM)系统的动态资源分配问题,提出了一种简化的混合整数非线性规划(MINLP)问题求解方法。我们的解决方案是基于适当选择k -最优分支的分支和定界技术。该算法显著降低了传统分支定界算法的计算复杂度,但平均用户吞吐量略有下降。仿真结果表明,该算法可以在降低复杂度和降低性能之间取得平衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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