International Journal of Wireless and Microwave Technologies (IJWMT)
IJWMT Vol. 2, No. 1, 15 Feb. 2012
Cover page and Table of Contents: PDF (size: 224KB)
Adaptive Cross-layer Resource Allocation by HNN in OFDM-MISO System
Full Text (PDF, 224KB), PP.66-73
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Author(s)
Mingyan Jiang
1,*
Yulong Liu
1
Index Terms
Hopfield neural network, multi-user OFDM-MISO system, proportional fairness, cross-layer design, resource allocation
Abstract
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. DOI: 10.5815/ijwmt.2012.01.10
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