Orthogonal Frequency Division Multiple Access with Statistical Channel Quality Measurements Part-Ⅰ : System and Channel Modeling 


Vol. 31,  No. 2, pp. 119-127, Feb.  2006


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  Abstract

In this two-part paper, we consider dynamic resource allocation in orthogonal frequency division multiple access(OFDMA). To reduce the reverse link overhead for channel quality information(CQI) feedback, a set of sub-carriers are tied up to a sub-channel to be used as the unit of CQI feedback, user-multiplexing and the corresponding power/rate allocation. Specifically, we focus on two sub-channel structures, either aggregated or distributed, where the SNR distribution over a sub-channel is modeled as Ricean in general, and the channel quality of a sub-channel is summarized as the mean and variance of channel gain envelop divided by noise standard deviation. Then, we develop a generalized two step channel/resource allocation algorithm, which uses the two statistical measurements, and analyze the spectral efficiency of the OFDMA system in terms of average frequency utilization. An extension to proportional fair algorithm will also be addressed. As confirmed by numerical results, the aggregated structure is preferred especially when intending aggressive link adaptation.

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  Cite this article

[IEEE Style]

S. Yoon, "Orthogonal Frequency Division Multiple Access with Statistical Channel Quality Measurements Part-Ⅰ : System and Channel Modeling," The Journal of Korean Institute of Communications and Information Sciences, vol. 31, no. 2, pp. 119-127, 2006. DOI: .

[ACM Style]

Seokhyun Yoon. 2006. Orthogonal Frequency Division Multiple Access with Statistical Channel Quality Measurements Part-Ⅰ : System and Channel Modeling. The Journal of Korean Institute of Communications and Information Sciences, 31, 2, (2006), 119-127. DOI: .

[KICS Style]

Seokhyun Yoon, "Orthogonal Frequency Division Multiple Access with Statistical Channel Quality Measurements Part-Ⅰ : System and Channel Modeling," The Journal of Korean Institute of Communications and Information Sciences, vol. 31, no. 2, pp. 119-127, 2. 2006.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880