NDLI: Fixed-Data-Rate Power Minimization Algorithm for OFDM-Based Power-Line Communication Networks

Content Provider	IEEE Xplore Digital Library
Author	Marijic, Z. Ilic, Z. Bazant, A.
Copyright Year	1986
Abstract	In this paper, we present a suboptimal integer bit allocation algorithm that minimizes power output for given user demands in multiuser orthogonal frequency-division multiplexing (OFDM) systems implemented in downlink transmission of power-line communication (PLC) networks. Assuming complete knowledge of a channel and the predetermined data rates for every user, the presented algorithm solves the power minimization problem analytically. The simulation results have shown significant advantages of this approach, especially in comparison with algorithms that deal with the problem of user data rate demands in an iterative manner. Compared to iterative algorithms, the proposed algorithm proves to be a much more effective solution regarding processing time and computational complexity. In addition, the losses in its power allocation efficiency due to its suboptimal approach remain very small in cases where the number of users does not exceed half the number of available subchannels.
Sponsorship	IEEE Power Engineering Society
Starting Page	141
Ending Page	149
Page Count	9
File Size	311552
File Format	PDF
ISSN	08858977
Volume Number	25
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Minimization methods Communication networks Iterative algorithms Bit rate Frequency division multiplexing OFDM Downlink Programmable control Algorithm design and analysis Computational modeling user data-rate demands Bit/power allocation algorithm multiuser orthogonal frequency-division multiplexing (OFDM) system power-line communication (PLC) networks
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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