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Decentralized spectral resource allocation for OFDMA downlink of coexisting macro/femto networks using filled function method

By Bingo Wing-Kuen Ling, Lamia Benmesbah, Vakam Chandrasekhar, Xiaoli Chu and Mischa Dohler


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

Topics: H640 Communications Engineering
Publisher: IEEE
Year: 2010
OAI identifier: oai:eprints.lincoln.ac.uk:2714

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