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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | channel capacity / peak power constraint / achievable rate / adaptive modulation and coding |
Paper # | CQ2014-54 |
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Committee | CQ |
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Conference Date | 2014/9/4(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Communication Quality (CQ) |
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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 |