Channel State-Aware Joint Dynamic Cell Coordination Scheme using Adaptive Modulation and Variable Reuse Factor in OFDMA 


Vol. 32,  No. 1, pp. 24-33, Jan.  2007


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  Abstract

In this paper, two different dynamic cell coordination strategies for frequency flat and selective fading are proposed for efficient subcarrier allocation in the joint consideration of adaptive modulation and variable frequency reuse in the channel-aware OFDMA downlink multicellular environment. Compared to a conventional OFDMA system without cell coordination, where system throughput may become degraded due to the persistent interference from other cells, the proposed system dynamically allows RNC to apply different reuse factors on each subchannel and scheduling in consideration of channel and interference conditions of individual users so as to increase the system throughput and guarantee QoS of each user. In a frequency flat fading, the dynamic scheme with the proposed scheduling achieves on average three times larger throughput than the conventional dynamic scheme [8]. In a selective fading channel, the proposed schemes showed 2.6 times as large throughput as that of a single reuse factor of one for all subchannels.

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  Cite this article

[IEEE Style]

D. W. Byun, Y. M. Ki, D. K. Kim, "Channel State-Aware Joint Dynamic Cell Coordination Scheme using Adaptive Modulation and Variable Reuse Factor in OFDMA," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 1, pp. 24-33, 2007. DOI: .

[ACM Style]

Dae Wook Byun, Young Min Ki, and Dong Ku Kim. 2007. Channel State-Aware Joint Dynamic Cell Coordination Scheme using Adaptive Modulation and Variable Reuse Factor in OFDMA. The Journal of Korean Institute of Communications and Information Sciences, 32, 1, (2007), 24-33. DOI: .

[KICS Style]

Dae Wook Byun, Young Min Ki, Dong Ku Kim, "Channel State-Aware Joint Dynamic Cell Coordination Scheme using Adaptive Modulation and Variable Reuse Factor in OFDMA," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 1, pp. 24-33, 1. 2007.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880