NDLI: Adaptive optimal transmit power allocation for two-hop non-regenerative wireless relaying system

Content Provider	IEEE Xplore Digital Library
Author	Zhang Jingmei Zhang Qi Shao Chunju Wang Ying Zhang Ping Zhang Zhang
Copyright Year	2004
Description	Author affiliation: Wireless Technol. Innovation Labs., Beijing Univ. of Posts & Telecommun., China (Zhang Jingmei; Zhang Qi; Shao Chunju; Wang Ying; Zhang Ping)
Abstract	In order to combat fading in wireless networks and increase the capacity of a system, cooperation is allowed among the terminals in a network. The adaptive optimal power allocation (PA) scheme, based on a certain system performance, is an important issue for relaying routing and network operation. The paper analyzes the two-hop non-regenerative (NR) relaying channel with and without diversity, and investigates the optimal PA scheme between the source terminal (Tx) and the relaying terminal (RS) under power constraints. Since, in real relaying environments, the transmitter usually knows the instantaneous channel state information (ICSI) of the 1st hop and the statistical channel state information (SCSI) of the 2nd hop, the proposed PA schemes are based on two-hop ICSI and two-hop mixed channel state information (MCSI) respectively. With the adaptive scheme, the system performance not only outperforms that of the direct transmission system, but also obtains the maximum channel capacity or SNR of the relaying system.
Starting Page	1213
Ending Page	1217
File Size	323481
Page Count	5
File Format	PDF
ISBN	0780382552
ISSN	15502252
DOI	10.1109/VETECS.2004.1389025
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-05-17
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Power system relaying Channel state information Adaptive systems System performance Fading Wireless networks Routing Transmitters Channel capacity Relays
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering Computer Science Applications

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