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Differentiated-Pricing Based Power Allocation in Dense Femtocell Networks

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Book cover 4G Femtocells

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Abstract

Femtocells, combined with orthogonal frequency division multiple access (OFDMA), can improve cellular coverage and offload traffics from existing macrocells. However, the co-channel deployment of femtocells is still facing challenges arising from potentially severe co-channel interference in dense femtocells. In this chapter, we investigate the uplink power allocation problem in dense deployed femtocells. We first model the uplink power allocation in femtocells as a non-cooperative game, where co-channel interference is taken into account in maximizing the femtocell capacity and uplink femto-to-femto interference is alleviated by charging each femto user a price proportional to the signal to interference and noise ratio (SINR). Based on the non-cooperative game, we then devise a distributed power allocation algorithm with differentiated pricing update. Simulation results show that the proposed power allocation algorithm is not only able to provide improved capacities for femtocells, but also can improve users’ fairness, as compared with existing unpriced water filling power allocation algorithm.

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Acknowledgements

The authors would like to thank Ms. Wenmin Ma and Dr. Wei Zheng for their contributions and helpful discussions. This research has been supported by National Key Technology R&D Program of China (2010ZX03003-001-01, 2011ZX03003-002-01), the National Natural Science Foundation of China (61101109), the Co-building Project of Beijing Municipal Education Commission “G-RAN based Experimental Platform for Future Mobile Communications” and “Research on Resource Allocation and Scheduling Strategy of Future Wireless Communication System” and Key Fund of Beijing Key Laboratory on Future Network Research.

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Zhang, H., Chu, X., Wen, X. (2013). Differentiated-Pricing Based Power Allocation in Dense Femtocell Networks. In: 4G Femtocells. SpringerBriefs in Computer Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-9080-7_6

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  • DOI: https://doi.org/10.1007/978-1-4614-9080-7_6

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-9079-1

  • Online ISBN: 978-1-4614-9080-7

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