NDLI: Adaptive subcarrier and bit allocation in OFDMA systems supporting heterogeneous services

Content Provider	Springer Nature Link
Author	Yu, Guanding Zhang, Zhaoyang Qiu, Peiliang
Copyright Year	2007
Abstract	Orthogonal Frequency Division Multiple Access (OFDMA) is an efficient multiple access method for the future wireless systems. This paper studies the adaptive subcarrier and bit allocation problem in OFDMA systems to support heterogeneous services. The goal of the considered resource optimization technique is to maximize the total system throughput under the overall transmit power constraint while guaranteeing the QoS requirement of realtime users and supporting proportional fairness among non-realtime users. First, we introduce a Rate Adaptive (RA) resource allocation algorithm for non-realtime users and a Margin Adaptive (MA) algorithm for realtime users. Then, based on the previous algorithms, a novel algorithm is proposed to allocate the resource to both classes of users, which makes an efficient tradeoff between the resource usage of realtime users and non-realtime users. The algorithm is locally optimal solution provided that the MA and RA algorithms are utilized. Also, to reduce the computational complexity, a suboptimal method based on the balancing of the average power per subcarrier is also introduced. Monte Carlo simulation results show that all the proposed algorithms outperform the existing counterparts. The results also show that the suboptimal method for heterogeneous services can efficiently reduce the computational complexity at the cost of very little performance degradation.
Starting Page	1057
Ending Page	1070
Page Count	14
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	43
Issue Number	4
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2007-06-02
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	OFDMA Adaptive subcarrier and bit allocation Heterogeneous services QoS Fairness Processor Architectures Electronic and Computer Engineering Signal, Image and Speech Processing Communications Engineering, Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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