Access Point Selection in Cell-Free Massive Multiple-Input Multiple-Output Non-Orthogonal Multiple Access System Based on Quantum Bacterial Foraging Optimization

LI Fei; YAN Zhiwei; LI Ting; SONG Yunchao; GENG Chenyu

doi:10.11999/JEIT220573

Volume 45 Issue 6

Jun. 2023

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(6): 2016-2023

LI Fei, YAN Zhiwei, LI Ting, SONG Yunchao, GENG Chenyu. Access Point Selection in Cell-Free Massive Multiple-Input Multiple-Output Non-Orthogonal Multiple Access System Based on Quantum Bacterial Foraging Optimization[J]. Journal of Electronics & Information Technology, 2023, 45(6): 2016-2023. doi: 10.11999/JEIT220573

Citation:

LI Fei, YAN Zhiwei, LI Ting, SONG Yunchao, GENG Chenyu. Access Point Selection in Cell-Free Massive Multiple-Input Multiple-Output Non-Orthogonal Multiple Access System Based on Quantum Bacterial Foraging Optimization[J]. Journal of Electronics & Information Technology, 2023, 45(6): 2016-2023. doi: 10.11999/JEIT220573

Citation:

LI Fei, YAN Zhiwei, LI Ting, SONG Yunchao, GENG Chenyu. Access Point Selection in Cell-Free Massive Multiple-Input Multiple-Output Non-Orthogonal Multiple Access System Based on Quantum Bacterial Foraging Optimization[J]. Journal of Electronics & Information Technology, 2023, 45(6): 2016-2023. doi: 10.11999/JEIT220573

PDF( 2680 KB)

Access Point Selection in Cell-Free Massive Multiple-Input Multiple-Output Non-Orthogonal Multiple Access System Based on Quantum Bacterial Foraging Optimization

doi: 10.11999/JEIT220573

1.
School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
2.
School of Electronics and Optical Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China

Funds: The National Natural Science Foundation of China (61871238)

Received Date: 2022-05-09
Rev Recd Date: 2022-06-19

Available Online: 2022-06-24

Publish Date: 2023-06-10

Abstract

Abstract

Access Point(AP) selection in cell-free massive Multiple-Input Multiple-Output Non-Orthogonal Multiple Access(MIMO-NOMA) system has a great impact on effectively reducing the backhaul overhead and improving the user’s downlink achievable rate. In this paper, the expression of the downlink average rate of the user is derived for the cell-free massive MIMO-NOMA system using AP selection. Then, a novel AP selection strategy based on Quantum Bacterial Foraging Optimization(QBFO) is proposed, which encodes the connection relationship between APs and users in the form of qubits. The adaptive quantum rotation gate is used to simulate the chemotaxis of bacteria. By measuring the quantum bacterial population, the selection solution set of APs and the users is obtained, and the dispersal operation is introduced to avoid the algorithm from falling into local optimum. Numerical results show that the proposed scheme can significantly improve the downlink average rate of users while relieving the backhaul burden. Compared with the schemes based on received power and channel estimation mean square error, the proposed scheme has better performance in reducing inter-user interference and improving the total throughput of the system.

FullText(HTML)

References(15)

References

[1]	LI Yikai and BADUGE G A A. NOMA-aided cell-free massive MIMO systems[J]. IEEE Wireless Communications Letters, 2018, 7(6): 950–953. doi: 10.1109/LWC.2018.2841375
[2]	NGUYEN T K, NGUYEN H H, and TUAN H D. Max-min QoS power control in generalized cell-free massive MIMO-NOMA with optimal backhaul combining[J]. IEEE Transactions on Vehicular Technology, 2020, 69(10): 10949–10964. doi: 10.1109/TVT.2020.3006054
[3]	OHASHI A A, DA COSTA D B, FERNANDES A L P, et al. Cell-free massive MIMO-NOMA systems with imperfect SIC and non-reciprocal channels[J]. IEEE Wireless Communications Letters, 2021, 10(6): 1329–1333. doi: 10.1109/LWC.2021.3066042
[4]	KUSALADHARMA S, ZHU Weiping, AJIB W, et al. Achievable rate characterization of NOMA-aided cell-free massive MIMO with imperfect successive interference cancellation[J]. IEEE Transactions on Communications, 2021, 69(5): 3054–3066. doi: 10.1109/TCOMM.2021.3053613
[5]	ZHANG Yao, CAO Haotong, ZHOU Meng, et al. Non-orthogonal multiple access in cell-free massive MIMO networks[J]. China Communications, 2020, 17(8): 81–94. doi: 10.23919/JCC.2020.08.007
[6]	LE Q N, NGUYEN V D, DOBRE O A, et al. Learning-assisted user clustering in cell-free massive MIMO-NOMA networks[J]. IEEE Transactions on Vehicular Technology, 2021, 70(12): 12872–12887. doi: 10.1109/TVT.2021.3121217
[7]	BUZZI S and D’ANDREA C. Cell-free massive MIMO: User-centric approach[J]. IEEE Wireless Communications Letters, 2017, 6(6): 706–709. doi: 10.1109/LWC.2017.2734893
[8]	NGO H Q, TRAN L N, DUONG T Q, et al. On the total energy efficiency of cell-free massive MIMO[J]. IEEE Transactions on Green Communications and Networking, 2018, 2(1): 25–39. doi: 10.1109/TGCN.2017.2770215
[9]	BJÖRNSON E and SANGUINETTI L. Scalable cell-free massive MIMO systems[J]. IEEE Transactions on Communications, 2020, 68(7): 4247–4261. doi: 10.1109/TCOMM.2020.2987311
[10]	WANG Rui, SHEN Min, HE Yun, et al. Performance of cell-free massive MIMO with joint user clustering and access point selection[J]. IEEE Access, 2021, 9: 40860–40870. doi: 10.1109/ACCESS.2021.3056051
[11]	DAO H T and KIM S. Power allocation and user-AP connection in distributed massive MIMO systems[J]. IEEE Communications Letters, 2021, 25(2): 565–569. doi: 10.1109/LCOMM.2020.3036086
[12]	DAO H T and KIM S. Effective channel gain-based access point selection in cell-free massive MIMO systems[J]. IEEE Access, 2020, 8: 108127–108132. doi: 10.1109/ACCESS.2020.3001270
[13]	LI Fei, ZHANG Yuting, WU Jiulong, et al. Quantum bacterial foraging optimization algorithm[C]. 2014 IEEE Congress on Evolutionary Computation (CEC), Beijing, China, 2014: 1265–1272.
[14]	LI Fei, JI Wei, TAN Sijia, et al. Quantum bacterial foraging optimization: From theory to MIMO system designs[J]. IEEE Open Journal of the Communications Society, 2020, 1: 1632–1646. doi: 10.1109/OJCOMS.2020.3031449
[15]	NGO H Q, ASHIKHMIN A, YANG Hong, et al. Cell-free massive MIMO versus small cells[J]. IEEE Transactions on Wireless Communications, 2017, 16(3): 1834–1850. doi: 10.1109/TWC.2017.2655515