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Efficient Performance Management of Subcarrier-Allocation Systems in Orthogonal Frequency-Division Multiple Access Networks

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Book cover Management of Convergence Networks and Services (APNOMS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 4238))

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Abstract

In next-generation wireless networks, OFDM is a potential key technology. Subcarriers in the OFDMA networks are scarce and valuable, operators should manage them efficiently by radio-resource management function. Several OFDMA subcarrier-allocation schemes and performance-evaluation methods have been widely studied, but very few studies focused on managing call blocking probability (CBP) and bandwidth utilization (BU). CBP and BU are two important performance measures, which respectively represent the quality of service for subscribers and the profit of operators. This paper proposes an evaluation model to accurately predict the subcarrier-allocation performance, especially in consideration of the CBP and BU. Theoretical and simulation results indicate that the model works. In addition, the CBP and BU are adopted to solve a subcarrier utilization-optimization problem, which can be applied in network planning and re-planning processes. The optimization problem uses given traffic load and specified maximum CBP constraint to maximize the BU by discovering the optimal number of subcarriers in a base station. Finally, operators may utilize the results to manage their subcarriers flexibly, and to improve their profitability.

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© 2006 Springer-Verlag Berlin Heidelberg

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Chen, JC., Chen, WS.E. (2006). Efficient Performance Management of Subcarrier-Allocation Systems in Orthogonal Frequency-Division Multiple Access Networks. In: Kim, YT., Takano, M. (eds) Management of Convergence Networks and Services. APNOMS 2006. Lecture Notes in Computer Science, vol 4238. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11876601_42

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  • DOI: https://doi.org/10.1007/11876601_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45776-3

  • Online ISBN: 978-3-540-46233-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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