NDLI: Analysis and Architecture Design of a Downlink <formula formulatype=inline><tex>$M$</tex></formula>-Modification MC-CDMA System Using the Tomlinson

Content Provider	IEEE Xplore Digital Library
Author	Kuang-Hao Lin Chang, R.C.-H. Hsin-Lei Lin Ching-Fen Wu
Copyright Year	1967
Abstract	This paper investigates the feasibility of applying Tomlinson-Harashima precoding (THP) to multicarrier code-division multiple-access (MC-CDMA) system downlinks, in which multiple-access interference and possible complexity in the mobile terminal (MT) are major burdens. A THP based on the minimum mean-square error (MMSE) criterion is also presented, making it possible to realize a low-complexity receiver at the MT. The hardware architecture of the MMSE THP with modified QR decomposition at the transmitter is presented, along with the required word length analyzed. Pipeline and parallel schemes are adopted to reduce the execution time. For a generic square matrix of order for RQ decomposition, the required latency is time units, which is based on the modified Gram-Schmidt algorithm.
Sponsorship	IEEE Vehicular Technology Society
Starting Page	1387
Ending Page	1397
Page Count	11
File Size	1572231
File Format	PDF
ISSN	00189545
Volume Number	57
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image analysis Downlink Multiaccess communication Multicarrier code division multiple access Multiple access interference Hardware Transmitters Pipelines Matrix decomposition Delay zero forcing (ZF) Minimum mean-square error (MMSE) multicarrier code division multiple access (MC-CDMA) precoding Tomlinson–Harashima precoding (THP) Tomlinson-Harashima Precoding (THP) multi-carrier code division multiple access (MC-CDMA) minimum mean-square error (MMSE)
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Automotive Engineering Computer Networks and Communications Electrical and Electronic Engineering Aerospace Engineering

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