DocumentCode :
2286494
Title :
A joint resource allocation scheme for OFDMA-based wireless networks with carrier aggregation
Author :
Wu, Fan ; Mao, Yuming ; Huang, Xiaoyan ; Leng, Supeng
Author_Institution :
Sch. of Commun. & Inf. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2012
fDate :
1-4 April 2012
Firstpage :
1299
Lastpage :
1304
Abstract :
The mixture of users with different carrier aggregation (CA) capabilities presents new challenges to optimize the performance of the next generation wireless networks. This paper focuses on the joint resources allocation for OFDMA-based multi-carrier system. Distinguished from many existing methods, our approach deploys the joint dynamic spectrum resources assignment and adaptive power allocation technologies for the carrier-aggregated systems. A low complexity suboptimal algorithm, named as the joint CC, RB and power allocation (JCRPA) algorithm, is proposed in this paper. The algorithm combines the dynamic component carrier (CC) and resource block (RB) assignment, as well as adaptive power allocation iteratively. In contrast to the conventional static CC assignment, a novel suboptimal dynamic CC and RB assignment algorithm is designed to maximize network utility. Simulation results demonstrate that JCRPA is able to improve the system performance in terms of network utility, average throughput and fairness.
Keywords :
frequency division multiple access; resource allocation; JCRPA algorithm; OFDMA-based multicarrier system; OFDMA-based wireless networks; adaptive power allocation; carrier aggregation; dynamic component carrier assignment; joint dynamic spectrum resources assignment; joint resource allocation scheme; resource block assignment; Algorithm design and analysis; Dynamic scheduling; Heuristic algorithms; Joints; Niobium; Resource management; Throughput; adaptive power allocation; carrier aggregation; dynamic spectrum resources assignment; network utility;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2012 IEEE
Conference_Location :
Shanghai
ISSN :
1525-3511
Print_ISBN :
978-1-4673-0436-8
Type :
conf
DOI :
10.1109/WCNC.2012.6213978
Filename :
6213978
Link To Document :
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