Abstract | ||
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Cognitive radio makes it possible for an unlicensed user to access a licensed spectrum opportunistically on the basis of non-interfering. This paper addresses the problem of resource allocation for multiaccess channel (MAC) of OFDMA-based cognitive radio networks, taking into account of the interference temperature constraints. The objective is to maximize the system utility, which is used to quantify different quality-of-service (QoS) requirements of different users. Firstly, a theoretical framework is provided, where necessary and sufficient conditions for optimal subcarrier assignment and power allocation are presented under certain constraints. Then, an effective algorithm is devised for more practical conditions based on Lagrangian duality theory, where subgradient/ellipsoid method is applied for Lagrangian multipliers iteration. With polynomial time complexities, the proposed resource allocation algorithm is proved to achieve optimal system performance by numerical results. |
Year | DOI | Venue |
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2009 | 10.1109/WCNC.2009.4917870 | WCNC |
Keywords | Field | DocType |
lagrangian duality theory,resource allocation,different quality-of-service,ofdma-based cognitive radio network,lagrangian multipliers iteration,cognitive radio,different user,proposed resource allocation algorithm,optimal subcarrier,power allocation,interference temperature constraint,effective algorithm,throughput,lagrangian multiplier,chromium,cognitive radio network,ellipsoid method,ellipsoids,ofdm modulation,temperature,system performance,duality theory,polynomial time,quality of service,interference,polynomials,resource management,subgradient method,wireless communication,spectrum | Subcarrier,Mathematical optimization,Subgradient method,Lagrange multiplier,Computer science,Resource allocation,Frequency-division multiple access,Ellipsoid method,Orthogonal frequency-division multiplexing,Cognitive radio | Conference |
Citations | PageRank | References |
5 | 0.54 | 9 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
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Qianxi Lu | 1 | 163 | 18.16 |
Tao Peng | 2 | 61 | 7.57 |
Wei Wang | 3 | 477 | 53.58 |
Wenbo Wang | 4 | 5 | 0.54 |