Presentation 2014-09-11
Achievable Rates of Peak Power Limited AWGN Channel and its Applications to Adaptive Modulation and Coding(Invited Talk)
Kazunori HAYASHI, Shiro IKEDA, Toshiyuki TANAKA,
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Abstract(in English) The channel capacity of AWGN (additive white Gaussian noise) channel is known to be 1/2 log(1+SNR), where SNR is signal-to-noise ratio, and the capacity-achieving distribution (CAD) is Gaussian distribution. However, the capacity is obtained under the average input power constraint, and the modulation scheme having such CAD is not feasible since practical communications systems have a constraint on the peak input power as well. On the other hand, the CAD of the AWGN channel under the peak power constraint is known to be the discrete distribution instead of the Gaussian distribution. In this paper, we compare the CADs of the AWGN channel under peak power constraints and signal constellations of practical discrete modulations, and discuss the practical strategy for adaptive modulation and coding (AMC) by comparing the channel capacity, achievable rates with common modulation schemes, and the actual rates with AMC using LDPC (low-density parity-check) codes.
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Keyword(in English) channel capacity / peak power constraint / achievable rate / adaptive modulation and coding
Paper # CQ2014-54
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Conference Information
Committee CQ
Conference Date 2014/9/4(1days)
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Registration To Communication Quality (CQ)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Achievable Rates of Peak Power Limited AWGN Channel and its Applications to Adaptive Modulation and Coding(Invited Talk)
Sub Title (in English)
Keyword(1) channel capacity
Keyword(2) peak power constraint
Keyword(3) achievable rate
Keyword(4) adaptive modulation and coding
1st Author's Name Kazunori HAYASHI
1st Author's Affiliation Graduate School of Informatics, Kyoto University()
2nd Author's Name Shiro IKEDA
2nd Author's Affiliation The Institute of Statistical Mathematics
3rd Author's Name Toshiyuki TANAKA
3rd Author's Affiliation Graduate School of Informatics, Kyoto University
Date 2014-09-11
Paper # CQ2014-54
Volume (vol) vol.114
Number (no) 209
Page pp.pp.-
#Pages 6
Date of Issue