International Journal of Wireless and Microwave Technologies(IJWMT)

ISSN: 2076-1449 (Print), ISSN: 2076-9539 (Online)

Published By: MECS Press

IJWMT Vol.2, No.1, Feb. 2012

Adaptive Cross-layer Resource Allocation by HNN in OFDM-MISO System

Full Text (PDF, 224KB), PP.66-73

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Mingyan Jiang,Yulong Liu

Index Terms

Hopfield neural network;multi-user OFDM-MISO system;proportional fairness;cross-layer design;resource allocation


This paper presents an adaptive cross-layer resource allocation problem with the fairness in multi-user OFDM-MISO communication systems, and provides two solutions with Hopfield Neural Network (HNN) and Genetic Algorithm (GA) for the problem. We utilized HNN’s characteristics such as parallel processing, fast convergence speed and easy convergence to the optimum, to solve this problem under the conditions of proportional fairness for satisfying system performances and users’ requirements. The method is simplified in the computation by dividing the bit-loading matrix into three matrixes. The simulation results show that HNN and GA can effectively solve optimization problems of resource allocation in such system, and results of selected HNN and GA methods are more effective than that of the traditional method.

Cite This Paper

Mingyan Jiang,Yulong Liu,"Adaptive Cross-layer Resource Allocation by HNN in OFDM-MISO System", IJWMT, vol.2, no.1, pp.66-73, 2012.


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