Benmesbah, Lamia and Ling, Wing-Kuen and Chandrasekhar, Vikram and Chu, Xiaoli and Dohler, Mischa (2011) Optimal decentralized spectral resource allocation for OFDMA downlink of femto networks via adaptive gradient vector step size approach. American Journal of Engineering and Applied Sciences, 4 (4). pp. 491-496. ISSN 1941-7020

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Abstract

For the orthogonal frequency division multiple access (OFDMA) downlink of a femto network, the resource allocation scheme would aim to maximize the area spectral efficiency (ASE) subject to constraints on the radio resources per transmission interval accessible by each femtocell. An optimal resource allocation scheme for completely decentralized femtocell deployments leads to a nonlinear optimization problem because the cost function of the optimization problem is nonlinear. In this paper, an adaptive gradient vector step size approach is proposed for finding the optimal solution of the optimization problem. Computer numerical simulation results show that our proposed method is more efficient than existing exhaustive search methods.

Item Type:	Article
Additional Information:	For the orthogonal frequency division multiple access (OFDMA) downlink of a femto network, the resource allocation scheme would aim to maximize the area spectral efficiency (ASE) subject to constraints on the radio resources per transmission interval accessible by each femtocell. An optimal resource allocation scheme for completely decentralized femtocell deployments leads to a nonlinear optimization problem because the cost function of the optimization problem is nonlinear. In this paper, an adaptive gradient vector step size approach is proposed for finding the optimal solution of the optimization problem. Computer numerical simulation results show that our proposed method is more efficient than existing exhaustive search methods.
Keywords:	Optimal decentralized spectral resource allocation, OFDMA downlink, macro/femto networks, ASE, nonlinear optimization, adaptive gradient vector step size approach.
Subjects:	H Engineering > H610 Electronic Engineering
Divisions:	College of Sciences > Faculty of Science > Lincoln School of Engineering
Depositing User:	Wing-Kuen Ling
Date Deposited:	05 Jun 2011 20:32
Last Modified:	13 Mar 2013 09:00
URI:	http://eprints.lincoln.ac.uk/id/eprint/4522

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