Adaptive power loading based on unequal-ber strategy for OFDM systems

An adaptive power loading algorithm with uniform (nonadaptive) bit allocation is proposed for constant data rate OFDM systems in this letter. This algorithm aims to minimize the transmit power while guaranteeing the target mean bit error rate (BER). The power loading is based on the unequal-BER (UBE...

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Vydáno v:IEEE communications letters Ročník 13; číslo 7; s. 474 - 476
Hlavní autoři: Liu, Kaiming, Tang, Bihua, Liu, Yuan'an
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York, NY IEEE 01.07.2009
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Adaptive algorithms
Adaptive systems
Algorithms
Allocations
Applied sciences
Bit error rate
Bit rate
Broadband communication
Closed-form solution
Exact sciences and technology
Exact solutions
Frequency division multiplexing
Information, signal and communications theory
Mathematical analysis
Modulation coding
Modulation, demodulation
Multiplexing
OFDM
Optimization
Orthogonal Frequency Division Multiplexing
Partitioning algorithms
Power distribution
Signal and communications theory
Strategy
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
Wireless communication
Adaptive algorithm
OFDM
Bit error rate
Information rate
Subcarrier
Information transmission
Bit allocation
power loading
Simulation
Unequal-BER
Power distribution
Orthogonal frequency division multiplexing
Adaptive modulation
ISSN:1089-7798, 1558-2558
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Popis
Shrnutí:An adaptive power loading algorithm with uniform (nonadaptive) bit allocation is proposed for constant data rate OFDM systems in this letter. This algorithm aims to minimize the transmit power while guaranteeing the target mean bit error rate (BER). The power loading is based on the unequal-BER (UBER) strategy which permits unequal mean BERs on different subcarriers. The closed-form expressions for optimal BER and power distributions are derived. Simulation results indicate the superiority of the proposed algorithm.
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ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2009.082158