@article {10.3844/ajeassp.2011.491.496,
article_type = {journal},
title = {Optimal Decentralized Spectral Resource Allocation for Orthogonal Frequency Division Multiple Access Downlink of Femto Networks Via Adaptive Gradient Vector Step Size Approach},
author = {Benmesbah, Lamia and Ling, Bingo Wing-Kuen and Chandrasekhar, Vikram and Chu, Xiaoli and Dohler, Mischa},
volume = {4},
number = {4},
year = {2012},
month = {Jan},
pages = {491-496},
doi = {10.3844/ajeassp.2011.491.496},
url = {https://thescipub.com/abstract/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.},
journal = {American Journal of Engineering and Applied Sciences},
publisher = {Science Publications}
}