Phase Shift Design for RIS-Aided Cell-Free Massive MIMO with Improved Differential Evolution

Cell-free massive MIMO; differential evolution; reconfigurable intelligence surface; Cell-free; Cell-free massive multiple-input and multiple-output; Correlation; Differential Evolution; Fadings channels; Massive multiple-input and multiple-output; Multiple input and multiple outputs; Optimisations; Reconfigurable; Reconfigurable intelligence surface; Uplink; Control and Systems Engineering; Electrical and Electronic Engineering

Abstract :

[en] This letter proposes a novel phase shift design for cell-free massive multiple-input and multiple-output (MIMO) systems assisted by reconfigurable intelligent surface (RIS), which only utilizes channel statistics to achieve the uplink sum ergodic throughput maximization under spatial channel correlations. Due to the non-convexity and the scale of the derived optimization problem, we develop an improved version of the differential evolution (DE) algorithm. The proposed scheme is capable of providing high-quality solutions within reasonable computing time. Numerical results demonstrate superior improvements of the proposed phase shift designs over the other benchmarks, particularly in scenarios where direct links are highly probable.

Disciplines :

Computer science

Author, co-author :

Chien, Trinh Van ; Hanoi University of Science and Technology, School of Information and Communication Technology, Hanoi, Viet Nam

Le, Cuong V. ; Hanoi University of Science and Technology, School of Information and Communication Technology, Hanoi, Viet Nam

Binh, Huynh Thi Thanh ; Hanoi University of Science and Technology, School of Information and Communication Technology, Hanoi, Viet Nam

Ngo, Hien Quoc ; Institute of Electronics, Communications and Information Technology, Queen's University Belfast, Belfast, United Kingdom

CHATZINOTAS, Symeon ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

External co-authors :

yes

Language :

English

Title :

Phase Shift Design for RIS-Aided Cell-Free Massive MIMO with Improved Differential Evolution

Publication date :

September 2023

Journal title :

IEEE Wireless Communications Letters

ISSN :

2162-2337

eISSN :

2162-2345

Publisher :

Institute of Electrical and Electronics Engineers Inc.

Volume :

Issue :

Pages :

1499 - 1503

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

http://xplorestaging.ieee.org/ielx7/5962382/10244213/10133823.pdf?arnumber=10133823

FnR Project :

https://ieeexplore.ieee.org/document/10133823

Funders :

Hanoi University of Science and Technology
U.K. Research and Innovation Future Leaders Fellowships
Luxembourg National Fund (FNR)- RISOTTI–the Reconfigurable Intelligent Surfaces for Smart Cities

Funding text :

This research is funded by Hanoi University of Science and Technology (HUST) under project number T2022-TT-001. The work of Hien Quoc Ngo was supported by the U.K. Research and Innovation Future Leaders Fellowships under Grant MR/X010635/1. The work of Symeon Chatzinotas was supported by the Luxembourg National Fund (FNR)-RISOTTI the Reconfigurable Intelligent Surfaces for Smart Cities under Project FNR/C20/IS/14773976/RISOTTI

Data Set :

https://ieeexplore.ieee.org/document/10133823

Available on ORBilu :

since 30 November 2023

Statistics

Number of views

32 (0 by Unilu)

Number of downloads

82 (0 by Unilu)

More statistics

Scopus citations^®

Scopus citations^®
without self-citations

OpenAlex citations

Bibliography

H. Q. Ngo, A. Ashikhmin, H. Yang, E. G. Larsson, and T. L. Marzetta, "Cell-free massive MIMO versus small cells," IEEE Trans. Wireless Commun., vol. 16, no. 3, pp. 1834-1850, Mar. 2017.
Z. Zhang et al., "Active RIS vs. passive RIS: Which will prevail in 6G?" IEEE Trans. Commun., vol. 71, no. 3, pp. 1707-1725, Mar. 2023.
T. Van Chien, H. Q. Ngo, S. Chatzinotas, M. Di Renzo, and B. Ottersten, "Reconfigurable intelligent surface-assisted cell-free massive MIMO systems over spatially-correlated channels," IEEE Trans. Wireless Commun., vol. 21, no. 7, pp. 5106-5128, Jul. 2022.
B. Al-Nahhas, M. Obeed, A. Chaaban, and M. J. Hossain, "RIS-aided cell-free massive MIMO: Performance analysis and competitiveness," in Proc. ICC Workshops, Montréal, QC, Canada, 2021, pp. 1-6.
T. Van Chien, H. Q. Ngo, S. Chatzinotas, M. Di Renzo, and B. Ottersten, "RIS and cell-free massive MIMO: A marriage for harsh propagation environments," in Proc. GLOBECOM, Madrid, Spain, 2021, pp. 1-6.
Z. Zhou, M. Shojafar, J. Abawajy, and A. K. Bashir, "IADE: An improved differential evolution algorithm to preserve sustainability in a 6G network," IEEE Trans. Green Commun. Netw., vol. 5, no. 4, pp. 1747-1760, Dec. 2021.
J. Dai et al., "Two-timescale transmission design for RIS-aided cell-free massive MIMO systems," 2022, arXiv:2210.08514.
S. Das, S. S. Mullick, and P. N. Suganthan, "Recent advances in differential evolution-An updated survey," Swarm Evol. Comput., vol. 27, pp. 1-30, Apr. 2016.
D. Sobania, D. Schweim, and F. Rothlauf, "A comprehensive survey on program synthesis with evolutionary algorithms," IEEE Trans. Evol. Comput., vol. 27, no. 1, pp. 82-97, Feb. 2023.
J. Zhang and A. C. Sanderson, "JADE: Adaptive differential evolution with optional external archive," IEEE Trans. Evol. Comput., vol. 13, no. 5, pp. 945-958, Oct. 2009.
R. Tanabe and A. Fukunaga, "Success-history based parameter adaptation for differential evolution," in Proc. IEEE Congr. Evol. Comput., Cancun, Mexico, 2013, pp. 71-78.
A. Kammoun, A. Chaaban, M. Debbah, and M.-S. Alouini, "Asymptotic max-min SINR analysis of reconfigurable intelligent surface assisted MISO systems," IEEE Trans. Wireless Commun., vol. 19, no. 12, pp. 7748-7764, Dec. 2020.
Q. Wu and R. Zhang, "Intelligent reflecting surface enhanced wireless network via joint active and passive beamforming," IEEE Trans. Wireless Commun., vol. 18, no. 11, pp. 5394-5409, Nov. 2019.
G. R. Harik, F. G. Lobo, and D. E. Goldberg, "The compact genetic algorithm," IEEE Trans. Evol. Comput., vol. 3, no. 4, pp. 287-297, Nov. 1999.
Z. Hu, S. Xiong, Q. Su, and X. Zhang, "Sufficient conditions for global convergence of differential evolution algorithm," J. Appl. Math., vol. 2013, Oct. 2013, Art. no. 193196.