Hybrid Reconfigurable Intelligent Surface Assisted Integrated Sensing and Communication: Energy Efficient Beamforming Design

CHU Hongyun; YANG Mengyao; HUANG Hang; ZHENG Ling; PAN Xue; XIAO Ge

doi:10.11999/JEIT230699

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CHU Hongyun, YANG Mengyao, HUANG Hang, ZHENG Ling, PAN Xue, XIAO Ge. Hybrid Reconfigurable Intelligent Surface Assisted Integrated Sensing and Communication: Energy Efficient Beamforming Design[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT230699

Citation:

CHU Hongyun, YANG Mengyao, HUANG Hang, ZHENG Ling, PAN Xue, XIAO Ge. Hybrid Reconfigurable Intelligent Surface Assisted Integrated Sensing and Communication: Energy Efficient Beamforming Design[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT230699

Citation:

CHU Hongyun, YANG Mengyao, HUANG Hang, ZHENG Ling, PAN Xue, XIAO Ge. Hybrid Reconfigurable Intelligent Surface Assisted Integrated Sensing and Communication: Energy Efficient Beamforming Design[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT230699

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Hybrid Reconfigurable Intelligent Surface Assisted Integrated Sensing and Communication: Energy Efficient Beamforming Design

doi: 10.11999/JEIT230699

1.
Xi’an University of Posts and Telecommunications, Xi’an 710121, China
2.
Nanjing Research Institute of Electronic Equipment, Nanjing 210013, China

Funds: The National Natural Science Foundation of China (62102314), The 173 Program for Technology (2022-JCJQ-JJ-0730), The Natural Science Foundation of Shaanxi Province (2022JQ-635)

Received Date: 2023-07-12
Accepted Date: 2023-11-14
Rev Recd Date: 2023-11-14

Available Online: 2023-11-21

Abstract

Abstract

Energy Efficiency (EE) is an important design metric for 5G+/6G wireless communications, and Reconfigurable Intelligent Surface (RIS) is widely recognized as a potential means to improve EE. Unlike passive RIS, hybrid RIS consists of both active and passive components, which can amplify the signal strength while phase-shifting the incoming wave, and can effectively overcome the “multiplicative fading” effect caused by fully passive RIS. In view of this, a hybrid RIS-assisted Integrated Sensing and Communication (ISAC) downlink transmission system is proposed in this paper. In order to investigate the intrinsic correlation between data transmission capacity and energy consumption, the paper jointly optimizes the beamforming and phase-shifting of hybrid RIS at the Base Station (BS) under the constraints of BS transmit power, beampattern gain, and hybrid RIS power and amplitude with the goal of maximizing the global EE in a multiuser network. To solve this complex fractional programming problem, an algorithm based on Alternating Optimization (AO) is proposed to solve it. To overcome the problem of high algorithm complexity caused by the introduction of auxiliary variables in the AO algorithm, a solution algorithm based on a cascaded deep learning network is proposed using the association of coupled optimization variables. Simulation results show that the proposed hybrid RIS-assisted ISAC scheme outperforms existing schemes in terms of sum rate and EE, and the algorithm converges quickly.

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References(24)

References

[1]	LIU Fan, MASOUROS C, PETROPULU A P, et al. Joint radar and communication design: Applications, state-of-the-art, and the road ahead[J]. IEEE Transactions on Communi cations, 2020, 68(6): 3834–3862. doi: 10.1109/TCOMM.2020.2973976.
[2]	TAN D K P, HE Jia, LI Yanchun, et al. Integrated sensing and communication in 6G: Motivations, use cases, requirements, challenges and future directions[C]. 2021 1st IEEE International Online Symposium on Joint Communications & Sensing (JC&S), Dresden, Germany, 2021: 1–6. doi: 10.1109/JCS52304.2021.9376324.
[3]	FU Min, ZHOU Yong, SHI Yuanming, et al. Reconfigurable intelligent surface empowered downlink non-orthogonal multiple access[J]. IEEE Transactions on Communications, 2021, 69(6): 3802–3817. doi: 10.1109/TCOMM.2021.3066 587.
[4]	XUE Qing, WEI Renlong, MA Shaodan, et al. Multi-user mmWave uplink communications based on collaborative double-RIS: Joint beamforming and power control[J]. IEEE Communications Letters, 2023, 27(10): 2702–2706. doi: 10.1109/LCOMM.2023.3309710.
[5]	XIE Hao, GU Bowen, LI Dong, et al. Gain without pain: Recycling reflected energy from wireless-powered RIS-aided communications[J]. IEEE Internet of Things Journal, 2023, 10(15): 13264–13280. doi: 10.1109/JIOT.2023.3262517.
[6]	XU Yongjun, GAO Zhengnian, WANG Zhengqiang, et al. RIS-enhanced WPCNs: Joint radio resource allocation and passive beamforming optimization[J]. IEEE Transactions on Vehicular Technology, 2021, 70(8): 7980–7991. doi: 10.1109/TVT.2021.3096603.
[7]	XU Yongjun, XIE Hao, WU Qingqing, et al. Robust max-min energy efficiency for RIS-aided HetNets with distortion noises[J]. IEEE Transactions on Communications, 2022, 70(2): 1457–1471. doi: 10.1109/TCOMM.2022.3141798.
[8]	MAI Yuying and DU Huiqin. Joint beamforming and phase shift design for RIS-aided ISAC system[C]. 2022 IEEE 8th International Conference on Computer and Communications (ICCC), Chengdu, China, 2022: 155–160. doi: 10.1109/ICCC56324.2022.10065868.
[9]	LIU Rang, LI Ming, LIU Qian, et al. SNR/CRB-constrained joint beamforming and reflection designs for RIS-ISAC systems[EB/OL]. https://arxiv.org/abs/2301.11134, 2023.
[10]	XING Zhe, WANG Rui, and YUAN Xiaojun. Joint active and passive beamforming design for reconfigurable intelligent surface enabled integrated sensing and communication[J]. IEEE Transactions on Communications, 2023, 71(4): 2457–2474. doi: 10.1109/TCOMM.2023.3244 246.
[11]	WANG Fangzhou, LI Hongbin, and FANG Jun. Joint active and passive beamforming for IRS-assisted radar[J]. IEEE Signal Processing Letters, 2022, 29: 349–353. doi: 10.1109/LSP.2021.3134899.
[12]	WANG Xinyi, FEI Zesong, HUANG Jingxuan, et al. Joint waveform and discrete phase shift design for RIS-assisted integrated sensing and communication system under Cramer-Rao bound constraint[J]. IEEE Transactions on Vehicular Technology, 2022, 71(1): 1004–1009. doi: 10.1109/TVT.2021.3122889.
[13]	LIU Chenxi, HU Xiaoling, PENG Mugen, et al. Sensing for beamforming: An IRS-enabled integrated sensing and communication framework[C]. 2022 - IEEE International Conference on Communications, Seoul, Republic of Korea, 2022: 5567–5572. doi: 10.1109/ICC45855.2022.9838505.
[14]	LYU Wanting, XIU Yue, YANG Songjie, et al. Energy-efficient cell-free network assisted by hybrid RISs[J]. IEEE Wireless Communications Letters, 2023, 12(4): 718–722. doi: 10.1109/LWC.2023.3241644.
[15]	NGUYEN N T, VU Q D, LEE K, et al. Hybrid relay-reflecting intelligent surface-assisted wireless communications[J]. IEEE Transactions on Vehicular Technology, 2022, 71(6): 6228–6244. doi: 10.1109/TVT.2022.3158686.
[16]	SANKAR R S P and CHEPURI S P. Beamforming in hybrid RIS assisted integrated sensing and communication systems[C]. 2022 30th European Signal Processing Conference (EUSIPCO), Belgrade, Serbia, 2022: 1082–1086. doi: 10.23919/EUSIPCO55093.2022.9909562.
[17]	HE Zhenyao, XU Wei, SHEN Hong, et al. Energy efficient beamforming optimization for integrated sensing and communication[J]. IEEE Wireless Communications Letters, 2022, 11(7): 1374–1378. doi: 10.1109/LWC.2022.3169517.
[18]	ZHOU Chunyu, XU Yongjun, LI Dong, et al. Energy-efficient maximization for RIS-aided MISO symbiotic radio systems[J]. IEEE Transactions on Vehicular Technology, 2023, 72(10): 13689–13694. doi: 10.1109/TVT.2023.3274796.
[19]	LIU Xiang, HUANG Tianyao, SHLEZINGER N, et al. Joint transmit beamforming for multiuser MIMO communications and MIMO radar[J]. IEEE Transactions on Signal Processing, 2020, 68: 3929–3944. doi: 10.1109/TSP.2020.3004739.
[20]	MU Gaoze, ZHAO Yusen, ZHONG Shida, et al. An element selection enhanced hybrid relay-RIS assisted communication system[C]. 2022 5th International Conference on Information Communication and Signal Processing (ICICSP), Shenzhen, China, 2022: 1–5. doi: 10.1109/ICICSP55539.2022.10050590.
[21]	NGUYEN N T, NGUYEN V D, WU Qingqing, et al. Hybrid active-passive reconfigurable intelligent surface-assisted UAV communications[C]. 2022 IEEE Global Communications Conference, Rio de Janeiro, Brazil, 2022: 3126–3131. doi: 10.1109/GLOBECOM48099.2022.10001719.
[22]	ZHANG Zijian, DAI Linglong, CHEN Xibi, et al. Active RIS vs. Passive RIS: Which will prevail in 6G?[J]. IEEE Transactions on Communications, 2023, 71(3): 1707–1725. doi: 10.1109/TCOMM.2022.3231893.
[23]	SHEN Kaiming and YU Wei. Fractional programming for communication systems—Part I: Power control and beamforming[J]. IEEE Transactions on Signal Processing, 2018, 66(10): 2616–2630. doi: 10.1109/TSP.2018.2812733.
[24]	GUO Huayan, LIANG Yingchang, CHEN Jie, et al. Weighted sum-rate maximization for reconfigurable intelligent surface aided wireless networks[J]. IEEE Transactions on Wireless Communications, 2020, 19(5): 3064–3076. doi: 10.1109/TWC.2020.2970061.