FBLA (Flexible Block-wise Loading Algorithm) for Effective Resource Allocation and Reduction of the Uplink Feedback Information in OFDMA System 


Vol. 32,  No. 6, pp. 608-616, Jun.  2007


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  Abstract

OFDM Systems for multi-user use adaptive modulation and coding (AMC) which is a method that selects suitable modulation order and code rate depending on channel state of each user. Using AMC, OFDM system can provide high quality and reliable communication. Base station using AMC scheme requires downlink channel information of each terminal to operate optimality. However, under practical system environment, it is unsuitable to transmit all channel information because uplink bandwidth of the system is limited. In this paper, we propose a flexible block-wise loading (FBL) algorithm combined with a novel CQI feedback scheme with reduced number of required bits to optimize the performance of AMC system. Proposed algorithm allocates sub-carrier groups dynamically to improve the sector throughput and outage probability performance.

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  Cite this article

[IEEE Style]

T. Sun, S. Ko, K. Chang, S. Hwang, M. Song, C. Kim, "FBLA (Flexible Block-wise Loading Algorithm) for Effective Resource Allocation and Reduction of the Uplink Feedback Information in OFDMA System," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 6, pp. 608-616, 2007. DOI: .

[ACM Style]

TaeHyung Sun, SangJun Ko, KyungHi Chang, SungHyun Hwang, MyungSun Song, and ChangJoo Kim. 2007. FBLA (Flexible Block-wise Loading Algorithm) for Effective Resource Allocation and Reduction of the Uplink Feedback Information in OFDMA System. The Journal of Korean Institute of Communications and Information Sciences, 32, 6, (2007), 608-616. DOI: .

[KICS Style]

TaeHyung Sun, SangJun Ko, KyungHi Chang, SungHyun Hwang, MyungSun Song, ChangJoo Kim, "FBLA (Flexible Block-wise Loading Algorithm) for Effective Resource Allocation and Reduction of the Uplink Feedback Information in OFDMA System," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 6, pp. 608-616, 6. 2007.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880