NDLI: A chunk-based resource allocation scheme for downlink MIMO-OFDMA channel using linear precoding

Content Provider	IEEE Xplore Digital Library
Author	Karachontzitis, S. Dagiuklas, T.
Copyright Year	2011
Description	Author affiliation: Department of Computer Engineering and Informatics, University of Patras, Patras, Greece (Karachontzitis, S.) \|\| Department of Telecommunication Systems and Networks, Technological Educational Institute of Messolonghi, Nafpaktos, Greece (Dagiuklas, T.)
Abstract	This paper presents a novel chunk-based resource allocation scheme for MIMO-OFDMA multiuser downlink channel. In chunk-based resource allocation, a number of contiguous subcarriers of each OFDM symbol are considered as a chunk and resource allocation is performed on chunk-by-chunk basis. Herein, an optimization problem is formulated that aims to maximize system sum rate under an average power constraint per chunk when Zero Forcing Beamforming (ZFB) is used for inter-user interference elimination within chunks. Under this framework, a low-complexity resource allocation algorithm is presented that exploits frequency and space correlation of wireless channels and jointly solves the problems of chunk allocation and power allocation. Simulation results show that the proposed algorithm performs closely to the optimal solution of the examined problem.
Starting Page	931
Ending Page	936
File Size	192599
Page Count	6
File Format	PDF
ISBN	9781457706806
ISSN	15301346
e-ISBN	9781457706813
e-ISBN	9781457706783
DOI	10.1109/ISCC.2011.5983961
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-28
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation Power capacitors Complexity theory Resource management OFDM Wireless communication Downlink SDMA Resource Allocation OFDMA MIMO
Content Type	Text
Resource Type	Article
Subject	Signal Processing Mathematics Computer Networks and Communications Computer Science Applications Software

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