User Assignment for Wireless Communication Assisted by Reconfigurable Intelligent Surfaces

WANG Dan; CHEN Xiaomeng; WANG Yongfang

doi:10.11999/JEIT211473

Volume 44 Issue 7

Jul. 2022

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WANG Dan, CHEN Xiaomeng, WANG Yongfang. User Assignment for Wireless Communication Assisted by Reconfigurable Intelligent Surfaces[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2425-2430. doi: 10.11999/JEIT211473

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WANG Dan, CHEN Xiaomeng, WANG Yongfang. User Assignment for Wireless Communication Assisted by Reconfigurable Intelligent Surfaces[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2425-2430. doi: 10.11999/JEIT211473

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User Assignment for Wireless Communication Assisted by Reconfigurable Intelligent Surfaces

doi: 10.11999/JEIT211473 cstr: 32379.14.JEIT211473

School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Funds: The Natural Science Foundation of Chongqing (cstc2021jcyj-msxmX0454)

Received Date: 2021-12-09
Rev Recd Date: 2022-03-17

Available Online: 2022-03-24

Publish Date: 2022-07-25

Abstract

Abstract

The Reconfigurable Intelligent Surface (RIS) is a new and cost-effective solution for achieving high energy efficiency through massive low-cost passive elements. In the far field case, a lot of work are carried out on the assumption that the center of RIS is the reflection point. In the case of multi-user far field, the difference of user positions will increase the power consumption of Base Station(BS). Users and RIS cells are matched by resorting to Kuhn-Munkres(KM) algorithm in this paper, taking the transmitting power of BS as cost matrix. Under the constraints of SNR, the transmitting power of BS can be reduced by the user assignment method. Simulation results show that the matching method between users and RIS units adopted in this paper can reduce BS power consumption by up to 1% compared with random units of RIS.
- Reconfigurable Intelligent Surface(RIS),
- Kuhn-Munkres(KM) algorithm,
- Optimal match

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References(18)

References

[1]	ZHANG Zhengquan, XIAO Yue, MA Zheng, et al. 6G wireless networks: Vision, requirements, architecture, and key technologies[J]. IEEE Vehicular Technology Magazine, 2019, 14(3): 28–41. doi: 10.1109/MVT.2019.2921208
[2]	STRINATI E C, ALEXANDROPOULOS G C, SCIANCALEPORE V, et al. Wireless environment as a service enabled by reconfigurable intelligent surfaces: The RISE-6G perspective[C]. 2021 Joint European Conference on Networks and Communications & 6G Summit, Porto, Portugal, 2021: 562–567.
[3]	HAN Huimei, ZHAO Jun, ZHAI Wenchao, et al. Reconfigurable intelligent surface aided power control for physical-layer broadcasting[J]. IEEE Transactions on Communications, 2021, 69(11): 7821–7836. doi: 10.1109/TCOMM.2021.3104871
[4]	BASAR E, DI RENZO M, DE ROSNY J, et al. Wireless communications through reconfigurable intelligent surfaces[J]. IEEE Access, 2019, 7: 116753–116773. doi: 10.1109/ACCESS.2019.2935192
[5]	DI RENZO M, DEBBAH M, PHAN-HUY D T, et al. Smart radio environments empowered by reconfigurable AI meta-surfaces: An idea whose time has come[J]. EURASIP Journal on Wireless Communications and Networking, 2019, 2019(1): 129. doi: 10.1186/s13638-019-1438-9
[6]	ABEYWICKRAMA S, ZHANG Rui, WU Qingqing, et al. Intelligent reflecting surface: Practical phase shift model and beamforming optimization[J]. IEEE Transactions on Communications, 2020, 68(9): 5849–5863. doi: 10.1109/TCOMM.2020.3001125
[7]	LIANG Yingchang, CHEN Jie, LONG Ruizhe, et al. Reconfigurable intelligent surfaces for smart wireless environments: Channel estimation, system design and applications in 6G networks[J]. Science China Information Sciences, 2021, 64(10): 200301. doi: 10.1007/s11432-020-3261-5
[8]	YANG Yifei, ZHANG Shuowen, and ZHANG Rui. IRS-enhanced OFDMA: Joint resource allocation and passive beamforming optimization[J]. IEEE Wireless Communications Letters, 2020, 9(6): 760–764. doi: 10.1109/LWC.2020.2968303
[9]	WU Qingqing and ZHANG Rui. Beamforming optimization for intelligent reflecting surface with discrete phase shifts[C]. 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK, 2019: 7830–7833.
[10]	WU Qingqing and ZHANG Rui. Beamforming optimization for wireless network aided by intelligent reflecting surface with discrete phase shifts[J]. IEEE Transactions on Communications, 2020, 68(3): 1838–1851. doi: 10.1109/TCOMM.2019.2958916
[11]	LI Yiqing, JIANG Miao, ZHANG Qi, et al. Joint beamforming design in multi-cluster MISO NOMA reconfigurable intelligent surface-aided downlink communication networks[J]. IEEE Transactions on Communications, 2021, 69(1): 664–674. doi: 10.1109/TCOMM.2020.3032695
[12]	QIAN X, DI RENZO M, LIU J, et al. Beamforming through reconfigurable intelligent surfaces in single-user MIMO systems: SNR distribution and scaling laws in the presence of channel fading and phase noise[J]. IEEE Wireless Communications Letters, 2021, 10(1): 77–81. doi: 10.1109/LWC.2020.3021058
[13]	ZHANG Hongliang, DI Boya, SONG Lingyang, et al. Reconfigurable intelligent surfaces assisted communications with limited phase shifts: How many phase shifts are enough?[J]. IEEE Transactions on Vehicular Technology, 2020, 69(4): 4498–4502. doi: 10.1109/TVT.2020.2973073
[14]	ZENG Shuhao, ZHANG Hongliang, DI Boya, et al. Reconfigurable Intelligent Surface (RIS) assisted wireless coverage extension: RIS orientation and location optimization[J]. IEEE Communications Letters, 2021, 25(1): 269–273. doi: 10.1109/LCOMM.2020.3025345
[15]	ÖZDOGAN Ö, BJÖRNSON E, and LARSSON E G. Intelligent reflecting surfaces: Physics, propagation, and pathloss modeling[J]. IEEE Wireless Communications Letters, 2020, 9(5): 581–585. doi: 10.1109/LWC.2019.2960779
[16]	TANG Wankai, CHEN Mingzheng, CHEN Xiangyu, et al. Wireless communications with reconfigurable intelligent surface: Path loss modeling and experimental measurement[J]. IEEE Transactions on Wireless Communications, 2021, 20(1): 421–439. doi: 10.1109/TWC.2020.3024887
[17]	HU Sha, CHITTI K, RUSEK F, et al. User assignment with distributed Large Intelligent Surface (LIS) systems[C]. The IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Bologna, Italy, 2018: 1–6.
[18]	MUNKRES J. Algorithms for the assignment and transportation problems[J]. Journal of the Society for Industrial and Applied Mathematics, 1957, 5(1): 32–38. doi: 10.1137/0105003