Proportional fairness resource allocation scheme based on quantised feedback for multiuser orthogonal frequency division multiplexing system.
Saved in:
| Title: | Proportional fairness resource allocation scheme based on quantised feedback for multiuser orthogonal frequency division multiplexing system. |
|---|---|
| Authors: | Xu, Lei, Li, Ya‐ping, Yang, Yu‐wang, Zhang, Xiaofei, Tang, Zhen‐min, Lan, Shao‐hua |
| Source: | IET Communications (Wiley-Blackwell); Nov2014, Vol. 8 Issue 17, p2925-2932, 8p |
| Subject Terms: | ORTHOGONAL frequency division multiplexing, LAGRANGE multiplier, MATHEMATICAL optimization, RESOURCE allocation, FAIRNESS |
| Abstract: | This work addresses the resource allocation problem with the proportional fair constraint condition based on quantised feedback for multiuser orthogonal frequency division multiplexing access system. The resource allocation problem is converted as an optimisation problem with maximising the lower bound of the total average throughput and this formulation provides the low complexity of solving the above resource allocation problem. Tailored for the above optimisation problem, the authors design the codebook of equivalent channel quantisation threshold and the codebook of power and rate according to the equal probability quantiser and the Lagrange multiplier method, respectively. Further, they develop a suboptimal algorithm based on the stochastic approximate method. The proposed algorithm not only satisfies the constraint condition of the proportional fair very well, but also reduces the feedback overhead of the resource allocation result greatly. Moreover, the average throughput of the proposed algorithm is very close to that of the optimal resource allocation algorithm with full feedback when the equivalent channel gain in every subcarrier is quantised by 4 bit. [ABSTRACT FROM AUTHOR] |
| Copyright of IET Communications (Wiley-Blackwell) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Complementary Index |
Full Text Finder 
Nájsť tento článok vo Web of Science Be the first to leave a comment!