Traditionally, it has been considered that the received signal to noise power ratio should be uniformly preserved to maximize system capacity for uncoded system with reliable feedback channel. However, once channel coding is employed as a building block, another power control scheme presents better performance. In this paper, we consider several power reallocation schemes for an effective use of limited power in a turbo coded system in lognormal shadowing channel. We show that the proposed power reallocation can reduce the decoding error probability by almost two orders of magnitude and provide a power gain of 0.87 dB at a target bit error rate of 10-4 over the equal power allocation among all code symbols. We also propose applying different power levels and cut-off thresholds on systematic and parity bits, and investigate the effect of channel estimation error.
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Sung-Joon PARK, "Power Control of Turbo Coded System in Lognormal Shadowing Channel" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 4, pp. 1149-1152, April 2008, doi: 10.1093/ietcom/e91-b.4.1149.
Abstract: Traditionally, it has been considered that the received signal to noise power ratio should be uniformly preserved to maximize system capacity for uncoded system with reliable feedback channel. However, once channel coding is employed as a building block, another power control scheme presents better performance. In this paper, we consider several power reallocation schemes for an effective use of limited power in a turbo coded system in lognormal shadowing channel. We show that the proposed power reallocation can reduce the decoding error probability by almost two orders of magnitude and provide a power gain of 0.87 dB at a target bit error rate of 10-4 over the equal power allocation among all code symbols. We also propose applying different power levels and cut-off thresholds on systematic and parity bits, and investigate the effect of channel estimation error.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.4.1149/_p
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@ARTICLE{e91-b_4_1149,
author={Sung-Joon PARK, },
journal={IEICE TRANSACTIONS on Communications},
title={Power Control of Turbo Coded System in Lognormal Shadowing Channel},
year={2008},
volume={E91-B},
number={4},
pages={1149-1152},
abstract={Traditionally, it has been considered that the received signal to noise power ratio should be uniformly preserved to maximize system capacity for uncoded system with reliable feedback channel. However, once channel coding is employed as a building block, another power control scheme presents better performance. In this paper, we consider several power reallocation schemes for an effective use of limited power in a turbo coded system in lognormal shadowing channel. We show that the proposed power reallocation can reduce the decoding error probability by almost two orders of magnitude and provide a power gain of 0.87 dB at a target bit error rate of 10-4 over the equal power allocation among all code symbols. We also propose applying different power levels and cut-off thresholds on systematic and parity bits, and investigate the effect of channel estimation error.},
keywords={},
doi={10.1093/ietcom/e91-b.4.1149},
ISSN={1745-1345},
month={April},}
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TY - JOUR
TI - Power Control of Turbo Coded System in Lognormal Shadowing Channel
T2 - IEICE TRANSACTIONS on Communications
SP - 1149
EP - 1152
AU - Sung-Joon PARK
PY - 2008
DO - 10.1093/ietcom/e91-b.4.1149
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2008
AB - Traditionally, it has been considered that the received signal to noise power ratio should be uniformly preserved to maximize system capacity for uncoded system with reliable feedback channel. However, once channel coding is employed as a building block, another power control scheme presents better performance. In this paper, we consider several power reallocation schemes for an effective use of limited power in a turbo coded system in lognormal shadowing channel. We show that the proposed power reallocation can reduce the decoding error probability by almost two orders of magnitude and provide a power gain of 0.87 dB at a target bit error rate of 10-4 over the equal power allocation among all code symbols. We also propose applying different power levels and cut-off thresholds on systematic and parity bits, and investigate the effect of channel estimation error.
ER -