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K-best branch and bound technique for the MINLP resource allocation in multi-user OFDM systems | IEEE Conference Publication | IEEE Xplore

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


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 d...Show More

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.
Date of Conference: 28 June 2015 - 01 July 2015
Date Added to IEEE Xplore: 31 August 2015
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Conference Location: Stockholm, Sweden

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