Ling, Bingo Wing-Kuen, Benmesbah, Lamia, Chandrasekhar, Vakam et al, Chu, Xiaoli and Dohler, Mischa
(2010)
Decentralized spectral resource allocation for OFDMA downlink of coexisting macro/femto networks using filled function method.
In: 7th IEEE, IET International Symposium on Communication Systems, Networks and Digital Signal Processing, 21-23 July 2010, University of Northumbria, Newcastle Upon Tyne.
Full content URL: http://www.csndsp.com/
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| Item Type: | Conference or Workshop contribution (Paper) |
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| Item Status: | Live Archive |
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Abstract
For an orthogonal frequency division multiple access (OFDMA) downlink of a spectrally coexisting macro and femto network, a 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 deployments leads however to a nonconvex optimization problem. In this paper, a filled function method is employed to find the global maximum of the optimization problem. Simulation results show that our proposed method is efficient and effective.
| Additional Information: | For an orthogonal frequency division multiple access (OFDMA) downlink of a spectrally coexisting macro and femto network, a 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 deployments leads however to a nonconvex optimization problem. In this paper, a filled function method is employed to find the global maximum of the optimization problem. Simulation results show that our proposed method is efficient and effective. |
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| Keywords: | Decentralized spectral resource allocation for OFDMA, coexisting macro/Femto networks using filled function method, optimal resource allocation |
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| Subjects: | H Engineering > H640 Communications Engineering |
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| Divisions: | College of Science > School of Engineering |
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| ID Code: | 2714 |
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| Deposited On: | 23 Jun 2010 20:48 |
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