The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Radio kognitif hijau (CR) memainkan peranan penting dalam menawarkan pengguna sekunder (SU) dengan lebih spektrum dengan perbelanjaan tenaga yang lebih kecil. Walau bagaimanapun, isu kecekapan tenaga (EE) yang dikaitkan dengan CR hijau untuk saluran pudar belum dikaji sepenuhnya. Dalam makalah ini, kami menyiasat purata masalah pemaksimuman EE untuk CR perkongsian spektrum dalam saluran pudar. Tidak seperti kajian terdahulu yang menganggap sama ada kekangan kuasa penghantaran puncak atau purata, di sini, kami mempertimbangkan kedua-dua kekangan ini. Matlamat kami adalah untuk memaksimumkan purata EE SU dengan mengoptimumkan kuasa penghantaran di bawah puncak bersama dan kekangan kuasa penghantaran purata, kekangan kadar SU dan kekangan kualiti perkhidmatan (QoS) pengguna utama (PU). Khususnya, QoS untuk PU dijamin berdasarkan sama ada kekangan kuasa gangguan purata atau kekangan gangguan PU. Untuk menangani masalah pengoptimuman bukan cembung, algoritma peruntukan kuasa optimum berulang yang boleh menangani masalah dengan cekap dicadangkan. Kuasa penghantaran optimum dikenal pasti di bawah kedua-dua maklumat sisi saluran (CSI) yang sempurna dan tidak sempurna. Simulasi menunjukkan bahawa skim cadangan kami boleh mencapai EE yang lebih tinggi berbanding skim sedia ada dan EE yang dicapai di bawah CSI sempurna adalah lebih baik daripada di bawah CSI tidak sempurna.
Cong WANG
Southeast University
Tiecheng SONG
Southeast University
Jun WU
Hangzhou Dianzi University
Wei JIANG
Southeast University
Jing HU
Southeast University
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Salinan
Cong WANG, Tiecheng SONG, Jun WU, Wei JIANG, Jing HU, "Optimal Power Allocation for Green CR over Fading Channels with Rate Constraint" in IEICE TRANSACTIONS on Communications,
vol. E103-B, no. 9, pp. 1038-1048, September 2020, doi: 10.1587/transcom.2019EBP3205.
Abstract: Green cognitive radio (CR) plays an important role in offering secondary users (SUs) with more spectrum with smaller energy expenditure. However, the energy efficiency (EE) issues associated with green CR for fading channels have not been fully studied. In this paper, we investigate the average EE maximization problem for spectrum-sharing CR in fading channels. Unlike previous studies that considered either the peak or the average transmission power constraints, herein, we considered both of these constraints. Our aim is to maximize the average EE of SU by optimizing the transmission power under the joint peak and average transmit power constraints, the rate constraint of SU and the quality of service (QoS) constraint of primary user (PU). Specifically, the QoS for PU is guaranteed based on either the average interference power constraint or the PU outage constraint. To address the non-convex optimization problem, an iterative optimal power allocation algorithm that can tackle the problem efficiently is proposed. The optimal transmission powers are identified under both of perfect and imperfect channel side information (CSI). Simulations show that our proposed scheme can achieve higher EE over the existing scheme and the EE achieved under perfect CSI is better than that under imperfect CSI.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2019EBP3205/_p
Salinan
@ARTICLE{e103-b_9_1038,
author={Cong WANG, Tiecheng SONG, Jun WU, Wei JIANG, Jing HU, },
journal={IEICE TRANSACTIONS on Communications},
title={Optimal Power Allocation for Green CR over Fading Channels with Rate Constraint},
year={2020},
volume={E103-B},
number={9},
pages={1038-1048},
abstract={Green cognitive radio (CR) plays an important role in offering secondary users (SUs) with more spectrum with smaller energy expenditure. However, the energy efficiency (EE) issues associated with green CR for fading channels have not been fully studied. In this paper, we investigate the average EE maximization problem for spectrum-sharing CR in fading channels. Unlike previous studies that considered either the peak or the average transmission power constraints, herein, we considered both of these constraints. Our aim is to maximize the average EE of SU by optimizing the transmission power under the joint peak and average transmit power constraints, the rate constraint of SU and the quality of service (QoS) constraint of primary user (PU). Specifically, the QoS for PU is guaranteed based on either the average interference power constraint or the PU outage constraint. To address the non-convex optimization problem, an iterative optimal power allocation algorithm that can tackle the problem efficiently is proposed. The optimal transmission powers are identified under both of perfect and imperfect channel side information (CSI). Simulations show that our proposed scheme can achieve higher EE over the existing scheme and the EE achieved under perfect CSI is better than that under imperfect CSI.},
keywords={},
doi={10.1587/transcom.2019EBP3205},
ISSN={1745-1345},
month={September},}
Salinan
TY - JOUR
TI - Optimal Power Allocation for Green CR over Fading Channels with Rate Constraint
T2 - IEICE TRANSACTIONS on Communications
SP - 1038
EP - 1048
AU - Cong WANG
AU - Tiecheng SONG
AU - Jun WU
AU - Wei JIANG
AU - Jing HU
PY - 2020
DO - 10.1587/transcom.2019EBP3205
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E103-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2020
AB - Green cognitive radio (CR) plays an important role in offering secondary users (SUs) with more spectrum with smaller energy expenditure. However, the energy efficiency (EE) issues associated with green CR for fading channels have not been fully studied. In this paper, we investigate the average EE maximization problem for spectrum-sharing CR in fading channels. Unlike previous studies that considered either the peak or the average transmission power constraints, herein, we considered both of these constraints. Our aim is to maximize the average EE of SU by optimizing the transmission power under the joint peak and average transmit power constraints, the rate constraint of SU and the quality of service (QoS) constraint of primary user (PU). Specifically, the QoS for PU is guaranteed based on either the average interference power constraint or the PU outage constraint. To address the non-convex optimization problem, an iterative optimal power allocation algorithm that can tackle the problem efficiently is proposed. The optimal transmission powers are identified under both of perfect and imperfect channel side information (CSI). Simulations show that our proposed scheme can achieve higher EE over the existing scheme and the EE achieved under perfect CSI is better than that under imperfect CSI.
ER -