Resource allocation optimization for SWIPT full-duplex relaying networks with practical energy harvester

doi:10.19682/j.cnki.1005-8885.2023.2004

中国邮电高校学报(英文) ›› 2023, Vol. 30 ›› Issue (1): 39-46.doi: 10.19682/j.cnki.1005-8885.2023.2004

Resource allocation optimization for SWIPT full-duplex relaying networks with practical energy harvester

Xu Siyang, Song Xin, Zhu Jiahui

School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China

收稿日期:2021-07-05 修回日期:2021-12-06 接受日期:2023-02-13 出版日期:2023-02-28 发布日期:2023-02-28
通讯作者: Song Xin, E-mail: sxin78916@neuq.edu.cn E-mail:sxin78916@neuq.edu.cn
基金资助:
This work was supported by the National Nature Science Foundation of China (61473066) and the Natural Science Foundation of Hebei Province (F2021501020).

Resource allocation optimization for SWIPT full-duplex relaying networks with practical energy harvester

^{Xu Siyang, Song Xin, Zhu Jiahui}

School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China

Received:2021-07-05 Revised:2021-12-06 Accepted:2023-02-13 Online:2023-02-28 Published:2023-02-28
Contact: Song Xin, E-mail: sxin78916@neuq.edu.cn E-mail:sxin78916@neuq.edu.cn
Supported by:
This work was supported by the National Nature Science Foundation of China (61473066) and the Natural Science Foundation of Hebei Province (F2021501020).

摘要/Abstract

摘要： In this paper, the resource allocation optimization for the simultaneous wireless information and power transfer (SWIPT) full-duplex (FD) relaying networks is investigated, in which the power-constrained relay scavenges energy from the source signal and assists information transmission by FD operation. Taking into account non-linear energy harvesting (EH) hardware circuit characteristics of the relay, the information rate maximization problem is developed by jointly optimizing the time-switching (TS) factor and transmission powers of the source in two different phases. However, the formulated optimization is highly non-convex and difficult to solve. To cope with this problem, the primary problem is decomposed into two sub-problems with respect to the TS factor and transmission powers. After solving these two sub-problems, the final sub-optimal solutions can be obtained by alternating search. Simulation results prove that the optimization of both TS factor and transmission powers can effectively enhance the information rate for the considered networks.

关键词: resource allocation optimization, full-duplex relaying networks, energy harvesting, information rate

Abstract: In this paper, the resource allocation optimization for the simultaneous wireless information and power transfer (SWIPT) full-duplex (FD) relaying networks is investigated, in which the power-constrained relay scavenges energy from the source signal and assists information transmission by FD operation. Taking into account non-linear energy harvesting (EH) hardware circuit characteristics of the relay, the information rate maximization problem is developed by jointly optimizing the time-switching (TS) factor and transmission powers of the source in two different phases. However, the formulated optimization is highly non-convex and difficult to solve. To cope with this problem, the primary problem is decomposed into two sub-problems with respect to the TS factor and transmission powers. After solving these two sub-problems, the final sub-optimal solutions can be obtained by alternating search. Simulation results prove that the optimization of both TS factor and transmission powers can effectively enhance the information rate for the considered networks.

Key words: resource allocation optimization, full-duplex relaying networks, energy harvesting, information rate

中图分类号:

TN92

Xu Siyang, Song Xin, Zhu Jiahui. Resource allocation optimization for SWIPT full-duplex relaying networks with practical energy harvester[J]. The Journal of China Universities of Posts and Telecommunications, 2023, 30(1): 39-46.

参考文献

References
[1] KRAMER G, GASTPAR M, GUPTA P. Cooperative strategies and capacity theorems for relay networks. IEEE Transactions on
Information Theory, 2015, 51(9): 3037 -3063.
[2] GOMEZ-CUBA F, ASOREY-CACHEDA R, GONZALEZ-CASTANO F J. A survey on cooperative diversity for wireless networks. IEEE Communications Surveys and Tutorials, 2012, 14(3): 822 -835.
[3] LI Y, ZHANG Z H, WANG C G, et al. Blind cooperative communications for multihop ad hoc wireless networks. IEEE Transactions on Vehicular Technology, 2013, 62 (7): 3110 -3122.
[4] CAO B, FENG G, LI Y, et al. Auction-based relay assignment in cooperative communications. Proceedings of the 2014 IEEE Global Communications Conference, 2014, Dec 8 - 12, Austin, TX, USA. Piscataway, NJ, USA: IEEE, 2014: 4496 -4501.
[5] TALWAR S, JING Y, SHAHBAZPANAHI S. Joint relay selection and power allocation for two-way relay networks. IEEE Signal
Processing Letters, 2011, 18(2): 91 -94.
[6] WANG S G, RUBY R, LEUNG V C M, et al. A low-complexity power allocation strategy to minimize sum-source-power for multi-user single-AF-relay networks. IEEE Transactions on Communications, 2016, 64(8): 3275 -3283.
[7] LI Y, ZHU X, LIAO C, et al. Energy efficiency maximization by jointly optimizing the positions and serving range of relay stations in cellular networks. IEEE Transactions on Vehicular Technology, 2015, 64(6): 2551 -2560.
[8] LI Y, LIAO C, WANG Y, et al. Energy-efficient optimal relay selection in cooperative cellular networks based on double auction.
IEEE Transactions on Wireless Communications, 2015, 14(8): 4093 -4104.
[9] XU L W, WANG J J, LIU Y, et al. Outage performance for IDF relaying mobile cooperative networks. Mobile Networks and
Applications, 2018, 23: 1496 -1501.
[10] XU L W, WANG J J, ZHANG H, et al. Performance analysis of IAF relaying mobile D2D cooperative networks. Journal of the
Franklin Institute, 2017, 354(2): 902 -916.
[11] ZHANG R, HO C K. MIMO broadcasting for simultaneous wireless information and power transfer. IEEE Transactions on
Wireless Communications, 2013, 12(5): 1989 -2001.
[12] LIU K H, LIN P. Toward self-sustainable cooperative relays: State of the art and the future. IEEE Communications Magazine,
2015, 53(6): 56 -62.
[13] BI S Z, HO C K, ZHANG R. Wireless powered communication: Opportunities and challenges. IEEE Communications Magazine,
2015, 53(4): 117 -125.
[14] LI B, ZHANG M Y, CAO H Y, et al. Transceiver design for AF MIMO relay systems with a power splitting based energy harvesting relay node. IEEE Transactions on Vehicular Technology, 2020, 69(3): 2376 -2388.
[15] NASIR A A, ZHOU X Y, DURRANI S, et al. Relaying protocols for wireless energy harvesting and information processing. IEEE Transactions on Wireless Communications, 2013, 12(7): 3622 -3636.
[16] CHEN R R, ZHANG H L, ZHOU Y G. Decode-and-forward relay based bidirectional wireless information and power transfer.
China Communications, 2017, 14(8): 176 -183.
[17] MEN J J, GE J H, ZHANG C S, et al. Joint optimal power allocation and relay selection scheme in energy harvesting asymmetric two-way relaying system. IET Communications, 2015, 9(11): 1421 -1426.
[18] ZHANG Y Y, GE J H, MEN J J, et al. Joint relay selection and power allocation in energy harvesting AF relay systems with ICSI.
IET Microwaves Antennas and Propagation, 2016, 10 (15): 1656 -1661.
[19] PARK J J, MOON J H, KIM D I. Time-switching based in-band full duplex wireless powered two-way relay. Proceedings of the
2016 URSI Asia-Pacific Radio Science Conference (URSI AP-RASC'16), 2016, Aug 21 - 25, Seoul, Republic of Korea. Piscataway, NJ, USA: IEEE, 2016: 438 -441.
[20] MOHAMMADI M, CHALISE B K, SURAWEERA H A, et al. Throughput analysis and optimization of wireless-powered multiple
antenna full-duplex relay systems. IEEE Transactions on Communications, 2016, 64(4): 1769 -1785.
[21] SONG X, XU S Y. Joint optimal power allocation and relay selection in full-duplex energy harvesting relay networks. Proceedings of the 10th International Conference on Communication Software and Networks (ICCSN'18), 2018, Jul 6 -9, Chengdu, China. Piscataway, NJ, USA: IEEE, 2018: 80 -84.
[22] ZHONG C J, SURAWEERA H A, ZHENG G, et al. Wireless information and power transfer with full duplex relaying. IEEE Transactions on Communications, 2014, 62(10): 3447 -3461.
[23] WANG D X, ZHANG R Q, CHENG X, et al. Relay selection in two-way full-duplex energy-harvesting relay networks. Proceedings of the 2016 IEEE Global Communications Conference (GLOBECOM'16), 2016, Dec 4 - 8, Washington, DC, USA. Piscataway, NJ, USA: IEEE, 2016: 1 -6.
[24] WANG D X, ZHANG R Q, CHENG X, et al. Relay selection in full-duplex energy-harvesting two-way relay networks. IEEE
Transactions on Green Communications and Networking, 2017, 1(2): 182 -191.
[25] BOSHKOVSKA E, NG D W K, ZLATANOV N, et al. Practical non-linear energy harvesting model and resource allocation for
SWIPT systems. IEEE Communications Letters, 2015, 19(12): 2082 -2085.
[26] SHI L Q, YE Y H, HU R Q Y, et al. Energy efficiency maximization for SWIPT enabled two-way DF relaying. IEEE Signal Processing Letters, 2019, 26(5): 755 -759.
[27] LU G Y, SHI L Q, YE Y H. Maximum throughput of TS/PS scheme in an AF relaying network with non-linear energy harvester. IEEE Access, 2018, 6: 26617 -26625.

Resource allocation optimization for SWIPT full-duplex relaying networks with practical energy harvester

Resource allocation optimization for SWIPT full-duplex relaying networks with practical energy harvester

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	黄庆东王梅韩壮陈晨. Dynamic coverage of mobile multi-target in sensor networks based on virtual force[J]. 中国邮电高校学报(英文), 2024, 31(4): 83-94.
[2]	Wang Qiang, Zhang Yijia, Zhang Tianjiao, Zhang Wenqi, Gao Yue, Tafazolli Rahim. Secure degrees of freedom for general MIMO interference channel under rank-deficiency [J]. 中国邮电高校学报(英文), 2023, 30(3): 65-77.
[3]	Guo Hui, Zhao Xuehui. Maximum throughput design of wireless powered communication network with IRS-NOMA based on user clustering [J]. 中国邮电高校学报(英文), 2023, 30(3): 55-64.
[4]	Zhang Huibin, Li Tianzhu, Liu Haojiang, Li Zhuotong. Deep learning-based symbol detection algorithm in IMDD-OOFDM system [J]. 中国邮电高校学报(英文), 2022, 29(6): 36-45.
[5]	Guo Xuerang, Li Feng, Zhu Bohan, Zhang Zhijun, Guo Qingrui, Yang Huiting. Prediction-based dynamic routing intelligent algorithm in power optical communication network [J]. 中国邮电高校学报(英文), 2022, 29(6): 46-52.
[6]	Li Yajie, Zhang Jie. Artificial intelligence for optical transport networks: architecture, application and challenges [J]. 中国邮电高校学报(英文), 2022, 29(6): 3-17.
[7]	Zhang Ping, Xu Xiaodong, Dong Chen, Han Shujun, Wang Bizhu. Intellicise communication system: model-driven semantic communications[J]. 中国邮电高校学报(英文), 2022, 29(1): 2-12.
[8]	Zhang Zezhong, Chen Mingzhe, Xu Jie, Cui Shuguang. Air interface design for edge intelligence[J]. 中国邮电高校学报(英文), 2022, 29(1): 13-26.
[9]	Liu Guangyi, Deng Juan, Zheng Qingbi, Li Gang, Sun Xin, Huang Yuhong. Native intelligence for 6G mobile network: technical challenges, architecture and key features[J]. 中国邮电高校学报(英文), 2022, 29(1): 27-40.
[10]	Sun Junshuai, Zhu Xinghui, Xiao Yeqiu, Cheng Ke, Zhao Shuangrui. Adaptive TTI bundling with self-healing scheme for 5G[J]. 中国邮电高校学报(英文), 2022, 29(1): 64-70.
[11]	Guo Hui, Zhao Xuehui. Maximum throughput design for IRS aided WPCN system based on NOMA[J]. 中国邮电高校学报(英文), 2022, 29(1): 93-101.
[12]	Song Xin, Huang Xue, Gao Yiming, Qian Haijun. Energy-efficient power allocation for NOMA heterogeneous networks with imperfect CSI[J]. 中国邮电高校学报(英文), 2022, 29(1): 102-112.
[13]	Kang Mancong, Li Xi, Ji Hong, Zhang Heli. Resource allocation and hybrid prediction scheme for low-latency visual feedbacks to support tactile Internet multimodal perceptions[J]. 中国邮电高校学报(英文版), 2021, 28(4): 13-28.
[14]	Wang Hang, Li Xi, Ji Hong, Zhang Heli. QoE-based video segments caching strategy in urban public transportation system[J]. 中国邮电高校学报(英文版), 2021, 28(4): 29-38.
[15]	Li Zongyan, Li Jiahui, Yu Honglu, Li Shiyin. New spatial quadrature modulation scheme for indoor visible light communication systems[J]. 中国邮电高校学报(英文版), 2021, 28(2): 89-96.