Title :
K-best branch and bound technique for the MINLP resource allocation in multi-user OFDM systems
Author :
Jaffal, Youssef ; Nasser, Youssef ; Corre, Yoann ; Lostanlen, Yves
Author_Institution :
Dept. of Electr. & Comput. Eng., American Univ. of Beirut, Beirut, Lebanon
fDate :
June 28 2015-July 1 2015
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.
Keywords :
Long Term Evolution; OFDM modulation; computational complexity; integer programming; multi-access systems; nonlinear programming; resource allocation; tree searching; K-best branch and bound technique; MINLP resource allocation; computational complexity; dynamic resource allocation; mixed integer nonlinear programming; multiuser downlink OFDM systems; orthogonal frequency division multiplexing; user throughput; Computational complexity; Conferences; OFDM; Resource management; Signal processing algorithms; Throughput; K-best Branch and Bound; MINLP; OFDM; Resource Allocation;
Conference_Titel :
Signal Processing Advances in Wireless Communications (SPAWC), 2015 IEEE 16th International Workshop on
Conference_Location :
Stockholm
DOI :
10.1109/SPAWC.2015.7227020