Research Article Open Access

Optimal Decentralized Spectral Resource Allocation for Orthogonal Frequency Division Multiple Access Downlink of Femto Networks Via Adaptive Gradient Vector Step Size Approach

Lamia Benmesbah1, Bingo Wing-Kuen Ling2, Vikram Chandrasekhar1, Xiaoli Chu1 and Mischa Dohler1
  • 1 ,
  • 2 , Afganistan
American Journal of Engineering and Applied Sciences
Volume 4 No. 4, 2011, 491-496

DOI: https://doi.org/10.3844/ajeassp.2011.491.496

Submitted On: 20 September 2011 Published On: 14 January 2012

How to Cite: Benmesbah, L., Ling, B. W., Chandrasekhar, V., Chu, X. & Dohler, M. (2011). Optimal Decentralized Spectral Resource Allocation for Orthogonal Frequency Division Multiple Access Downlink of Femto Networks Via Adaptive Gradient Vector Step Size Approach. American Journal of Engineering and Applied Sciences, 4(4), 491-496. https://doi.org/10.3844/ajeassp.2011.491.496

Abstract

Problem statement: 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. Approach: 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 study, an adaptive gradient vector step size approach is proposed for finding the optimal solution of the optimization problem. Results: Computer numerical simulation results show that our proposed method is more efficient than existing exhaustive search methods. Conclusion: By adpative changing the step size of the gradient vector, the locally optimal solution can be achieved quickly.

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Keywords

  • Quadrature Amplitude Modulations (QAMs)
  • mobile User Equipments (UEs)
  • Orthogonal Frequency Division Multiple Access (OFDMA)
  • Area Spectral Efficiency (ASE)
  • Femtocell Access Points (FAPs)
  • Signal to Interference Ratio (SIR)
  • spectral resource