Distributed BS Transmit Power Control for Utility Maximization in Small-Cell Networks 


Vol. 38,  No. 12, pp. 1125-1134, Dec.  2013


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  Abstract

Small cells such as pico or femto cells are promising as a solution to cope with higher traffic explosion and the large number of users. However, the users within small cells are likely to suffer severe inter-cell interference (ICI) from neighboring base stations (BSs). To tackle this, several papers suggest BS transmit power on/off control algorithms which increase edge user throughput. However, these algorithms require centralized coordinator and have high computational complexity. This paper makes a contribution towards presenting fully distributed and low complex joint BS on/off control and user scheduling algorithm (FDA) by selecting on/off pattern of BSs. Throughput the extensive simulations, we verify the performance of our algorithm as follows: (i) Our FDA provides better throughput performance of cell edge users by 170% than the algorithm without the ICI management. (ii) Our FDA catches up with the performance of optimal algorithm by 88-96% in geometric average throughput and sufficiently small gap in edge user throughput.

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  Cite this article

[IEEE Style]

C. Lee, J. Kim, J. Kwak, E. Kim, S. Chong, "Distributed BS Transmit Power Control for Utility Maximization in Small-Cell Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 12, pp. 1125-1134, 2013. DOI: .

[ACM Style]

Changsik Lee, Jihwan Kim, Jeongho Kwak, Eunkyung Kim, and Song Chong. 2013. Distributed BS Transmit Power Control for Utility Maximization in Small-Cell Networks. The Journal of Korean Institute of Communications and Information Sciences, 38, 12, (2013), 1125-1134. DOI: .

[KICS Style]

Changsik Lee, Jihwan Kim, Jeongho Kwak, Eunkyung Kim, Song Chong, "Distributed BS Transmit Power Control for Utility Maximization in Small-Cell Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 12, pp. 1125-1134, 12. 2013.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880