Based on imperfect channel state information (CSI), the energy efficiency (EE) of downlink distributed antenna systems (DASs) with multiple receive antennas is investigated assuming composite Rayleigh fading channels. A new EE is introduced which is defined as the ratio of the average transmission rate to the total consumed power. According to this definition, an optimal power allocation (PA) scheme is developed for maximizing EE in a DAS subject to the maximum transmit power constraint. It is shown that a PA solution for the constrained EE optimization does exist and is unique. A Newton method based practical iterative algorithm is presented to solve PA. To avoid the iterative calculation, a suboptimal PA scheme is derived by means of the Lambert function, which yields a closed-form PA. The developed schemes include the ones under perfect CSI as special cases, and only need the statistical CSI. Thus, they have low overhead and good robustness. Moreover, the theoretical EE under imperfect CSI is derived for performance evaluation, and the resulting closed-form EE expression is obtained. Simulation results indicate that the theoretical EE can match the corresponding simulated value well, and the developed suboptimal scheme has performance close to optimal one, but with lower complexity.
Weiye XU
PLA University of Science and Technology,Nanjing Institute of Technology
Min LIN
PLA University of Science and Technology
Ying WANG
Nanjing University of Aeronautics and Astronautics
Fei WANG
Nanjing University of Aeronautics and Astronautics
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Weiye XU, Min LIN, Ying WANG, Fei WANG, "Power Allocation for Energy Efficiency Maximization in DAS with Imperfect CSI and Multiple Receive Antennas" in IEICE TRANSACTIONS on Communications,
vol. E101-B, no. 5, pp. 1270-1279, May 2018, doi: 10.1587/transcom.2016EBP3371.
Abstract: Based on imperfect channel state information (CSI), the energy efficiency (EE) of downlink distributed antenna systems (DASs) with multiple receive antennas is investigated assuming composite Rayleigh fading channels. A new EE is introduced which is defined as the ratio of the average transmission rate to the total consumed power. According to this definition, an optimal power allocation (PA) scheme is developed for maximizing EE in a DAS subject to the maximum transmit power constraint. It is shown that a PA solution for the constrained EE optimization does exist and is unique. A Newton method based practical iterative algorithm is presented to solve PA. To avoid the iterative calculation, a suboptimal PA scheme is derived by means of the Lambert function, which yields a closed-form PA. The developed schemes include the ones under perfect CSI as special cases, and only need the statistical CSI. Thus, they have low overhead and good robustness. Moreover, the theoretical EE under imperfect CSI is derived for performance evaluation, and the resulting closed-form EE expression is obtained. Simulation results indicate that the theoretical EE can match the corresponding simulated value well, and the developed suboptimal scheme has performance close to optimal one, but with lower complexity.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2016EBP3371/_p
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@ARTICLE{e101-b_5_1270,
author={Weiye XU, Min LIN, Ying WANG, Fei WANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Power Allocation for Energy Efficiency Maximization in DAS with Imperfect CSI and Multiple Receive Antennas},
year={2018},
volume={E101-B},
number={5},
pages={1270-1279},
abstract={Based on imperfect channel state information (CSI), the energy efficiency (EE) of downlink distributed antenna systems (DASs) with multiple receive antennas is investigated assuming composite Rayleigh fading channels. A new EE is introduced which is defined as the ratio of the average transmission rate to the total consumed power. According to this definition, an optimal power allocation (PA) scheme is developed for maximizing EE in a DAS subject to the maximum transmit power constraint. It is shown that a PA solution for the constrained EE optimization does exist and is unique. A Newton method based practical iterative algorithm is presented to solve PA. To avoid the iterative calculation, a suboptimal PA scheme is derived by means of the Lambert function, which yields a closed-form PA. The developed schemes include the ones under perfect CSI as special cases, and only need the statistical CSI. Thus, they have low overhead and good robustness. Moreover, the theoretical EE under imperfect CSI is derived for performance evaluation, and the resulting closed-form EE expression is obtained. Simulation results indicate that the theoretical EE can match the corresponding simulated value well, and the developed suboptimal scheme has performance close to optimal one, but with lower complexity.},
keywords={},
doi={10.1587/transcom.2016EBP3371},
ISSN={1745-1345},
month={May},}
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TY - JOUR
TI - Power Allocation for Energy Efficiency Maximization in DAS with Imperfect CSI and Multiple Receive Antennas
T2 - IEICE TRANSACTIONS on Communications
SP - 1270
EP - 1279
AU - Weiye XU
AU - Min LIN
AU - Ying WANG
AU - Fei WANG
PY - 2018
DO - 10.1587/transcom.2016EBP3371
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E101-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2018
AB - Based on imperfect channel state information (CSI), the energy efficiency (EE) of downlink distributed antenna systems (DASs) with multiple receive antennas is investigated assuming composite Rayleigh fading channels. A new EE is introduced which is defined as the ratio of the average transmission rate to the total consumed power. According to this definition, an optimal power allocation (PA) scheme is developed for maximizing EE in a DAS subject to the maximum transmit power constraint. It is shown that a PA solution for the constrained EE optimization does exist and is unique. A Newton method based practical iterative algorithm is presented to solve PA. To avoid the iterative calculation, a suboptimal PA scheme is derived by means of the Lambert function, which yields a closed-form PA. The developed schemes include the ones under perfect CSI as special cases, and only need the statistical CSI. Thus, they have low overhead and good robustness. Moreover, the theoretical EE under imperfect CSI is derived for performance evaluation, and the resulting closed-form EE expression is obtained. Simulation results indicate that the theoretical EE can match the corresponding simulated value well, and the developed suboptimal scheme has performance close to optimal one, but with lower complexity.
ER -