Optimal Decentralized Spectral Resource Allocation for Orthogonal Frequency Division Multiple Access Downlink of Femto Networks Via Adaptive Gradient Vector Step Size Approach
| Autor: | Lamia Benmesbah, Vikram Chandrasekhar, Mischa Dohler, Wing-Kuen Ling, Xiaoli Chu |
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| Rok vydání: | 2011 |
| Předmět: |
Mathematical optimization
Environmental Engineering Optimization problem General Computer Science General Chemical Engineering Orthogonal frequency-division multiple access Femto General Engineering Energy Engineering and Power Technology Brute-force search Spectral efficiency Geotechnical Engineering and Engineering Geology Telecommunications link Computer Science::Networking and Internet Architecture Femtocell Resource allocation Mathematics |
| Zdroj: | American Journal of Engineering and Applied Sciences. 4:491-496 |
| ISSN: | 1941-7020 |
| DOI: | 10.3844/ajeassp.2011.491.496 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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