Performance Analysis and Optimization Strategy over Cell-Free Massive MIMO in the Finite Blocklength Regime

Qingqin Xu; Zhong Li; Teng Wu; Jie Zeng

doi:10.1007/978-3-031-34790-0_11

Performance Analysis and Optimization Strategy over Cell-Free Massive MIMO in the Finite Blocklength Regime

Qingqin Xu^*
, Zhong Li
, Teng Wu
, Jie Zeng

^*Corresponding author for this work

Chongqing University of Posts and Telecommunications
Tsinghua University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The sixth generation (6G) mobile networks need to meet various performance requirements such as the number of connections, latency, reliability, and energy efficiency. In particular, for the Internet of Things (IoT) scenarios with short packet transmission, it is necessary to analyze and optimize various performances while achieving massive connections. In addition, practical constraints (such as imperfect channel state information, limitations of classical Shannon’s capacity, inter-cell interference, massive user interference, etc.) further aggravate the difficulties of theoretical analysis and performance improvement. We propose a performance analysis and optimization strategy for short packet transmission systems based on cell-free massive multiple-input multiple-output (CF mMIMO), which points out the idea of improving system performance with large-scale connections under practical constraints. Furthermore, with the combination of simultaneous wireless information and power transfer (SWIPT) technology and finite blocklength (FBL) information theory, we derive the closed-form expressions of downlink signal-to-interference-plus-noise ratio (SINR), achievable data rate, and energy collected based on CF mMIMO. Simulation results verify the effectiveness of the proposed strategy, which is also expected to support massive ultra-reliable and low latency communications (mURLLC) with ultra-high energy efficiency or spectral efficiency in the future.

Original language	English
Title of host publication	Communications and Networking - 17th EAI International Conference, Chinacom 2022, Proceedings
Editors	Feifei Gao, Jun Wu, Yun Li, Honghao Gao
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	137-148
Number of pages	12
ISBN (Print)	9783031347894
DOIs	https://doi.org/10.1007/978-3-031-34790-0_11
Publication status	Published - 2023
Externally published	Yes
Event	17th International Conference on Communications and Networking, ChinaCom 2022 - Virtual, Online Duration: 19 Nov 2022 → 20 Nov 2022

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	500 LNICST
ISSN (Print)	1867-8211
ISSN (Electronic)	1867-822X

Conference

Conference	17th International Conference on Communications and Networking, ChinaCom 2022
City	Virtual, Online
Period	19/11/22 → 20/11/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Cell-free massive multiple-input multiple-output (CF mMIMO)
Finite blocklength (FBL)
Massive ultra-reliable and low latency communications (mURLLC)
Performance analysis and optimization
Simultaneous wireless information and power transfer (SWIPT)

Access to Document

10.1007/978-3-031-34790-0_11

Cite this

Xu, Q., Li, Z., Wu, T., & Zeng, J. (2023). Performance Analysis and Optimization Strategy over Cell-Free Massive MIMO in the Finite Blocklength Regime. In F. Gao, J. Wu, Y. Li, & H. Gao (Eds.), Communications and Networking - 17th EAI International Conference, Chinacom 2022, Proceedings (pp. 137-148). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 500 LNICST). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-34790-0_11

Xu, Qingqin ; Li, Zhong ; Wu, Teng et al. / Performance Analysis and Optimization Strategy over Cell-Free Massive MIMO in the Finite Blocklength Regime. Communications and Networking - 17th EAI International Conference, Chinacom 2022, Proceedings. editor / Feifei Gao ; Jun Wu ; Yun Li ; Honghao Gao. Springer Science and Business Media Deutschland GmbH, 2023. pp. 137-148 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

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title = "Performance Analysis and Optimization Strategy over Cell-Free Massive MIMO in the Finite Blocklength Regime",

abstract = "The sixth generation (6G) mobile networks need to meet various performance requirements such as the number of connections, latency, reliability, and energy efficiency. In particular, for the Internet of Things (IoT) scenarios with short packet transmission, it is necessary to analyze and optimize various performances while achieving massive connections. In addition, practical constraints (such as imperfect channel state information, limitations of classical Shannon{\textquoteright}s capacity, inter-cell interference, massive user interference, etc.) further aggravate the difficulties of theoretical analysis and performance improvement. We propose a performance analysis and optimization strategy for short packet transmission systems based on cell-free massive multiple-input multiple-output (CF mMIMO), which points out the idea of improving system performance with large-scale connections under practical constraints. Furthermore, with the combination of simultaneous wireless information and power transfer (SWIPT) technology and finite blocklength (FBL) information theory, we derive the closed-form expressions of downlink signal-to-interference-plus-noise ratio (SINR), achievable data rate, and energy collected based on CF mMIMO. Simulation results verify the effectiveness of the proposed strategy, which is also expected to support massive ultra-reliable and low latency communications (mURLLC) with ultra-high energy efficiency or spectral efficiency in the future.",

keywords = "Cell-free massive multiple-input multiple-output (CF mMIMO), Finite blocklength (FBL), Massive ultra-reliable and low latency communications (mURLLC), Performance analysis and optimization, Simultaneous wireless information and power transfer (SWIPT)",

author = "Qingqin Xu and Zhong Li and Teng Wu and Jie Zeng",

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Xu, Q, Li, Z, Wu, T & Zeng, J 2023, Performance Analysis and Optimization Strategy over Cell-Free Massive MIMO in the Finite Blocklength Regime. in F Gao, J Wu, Y Li & H Gao (eds), Communications and Networking - 17th EAI International Conference, Chinacom 2022, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 500 LNICST, Springer Science and Business Media Deutschland GmbH, pp. 137-148, 17th International Conference on Communications and Networking, ChinaCom 2022, Virtual, Online, 19/11/22. https://doi.org/10.1007/978-3-031-34790-0_11

Performance Analysis and Optimization Strategy over Cell-Free Massive MIMO in the Finite Blocklength Regime. / Xu, Qingqin; Li, Zhong; Wu, Teng et al.
Communications and Networking - 17th EAI International Conference, Chinacom 2022, Proceedings. ed. / Feifei Gao; Jun Wu; Yun Li; Honghao Gao. Springer Science and Business Media Deutschland GmbH, 2023. p. 137-148 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 500 LNICST).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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Y1 - 2023

N2 - The sixth generation (6G) mobile networks need to meet various performance requirements such as the number of connections, latency, reliability, and energy efficiency. In particular, for the Internet of Things (IoT) scenarios with short packet transmission, it is necessary to analyze and optimize various performances while achieving massive connections. In addition, practical constraints (such as imperfect channel state information, limitations of classical Shannon’s capacity, inter-cell interference, massive user interference, etc.) further aggravate the difficulties of theoretical analysis and performance improvement. We propose a performance analysis and optimization strategy for short packet transmission systems based on cell-free massive multiple-input multiple-output (CF mMIMO), which points out the idea of improving system performance with large-scale connections under practical constraints. Furthermore, with the combination of simultaneous wireless information and power transfer (SWIPT) technology and finite blocklength (FBL) information theory, we derive the closed-form expressions of downlink signal-to-interference-plus-noise ratio (SINR), achievable data rate, and energy collected based on CF mMIMO. Simulation results verify the effectiveness of the proposed strategy, which is also expected to support massive ultra-reliable and low latency communications (mURLLC) with ultra-high energy efficiency or spectral efficiency in the future.

AB - The sixth generation (6G) mobile networks need to meet various performance requirements such as the number of connections, latency, reliability, and energy efficiency. In particular, for the Internet of Things (IoT) scenarios with short packet transmission, it is necessary to analyze and optimize various performances while achieving massive connections. In addition, practical constraints (such as imperfect channel state information, limitations of classical Shannon’s capacity, inter-cell interference, massive user interference, etc.) further aggravate the difficulties of theoretical analysis and performance improvement. We propose a performance analysis and optimization strategy for short packet transmission systems based on cell-free massive multiple-input multiple-output (CF mMIMO), which points out the idea of improving system performance with large-scale connections under practical constraints. Furthermore, with the combination of simultaneous wireless information and power transfer (SWIPT) technology and finite blocklength (FBL) information theory, we derive the closed-form expressions of downlink signal-to-interference-plus-noise ratio (SINR), achievable data rate, and energy collected based on CF mMIMO. Simulation results verify the effectiveness of the proposed strategy, which is also expected to support massive ultra-reliable and low latency communications (mURLLC) with ultra-high energy efficiency or spectral efficiency in the future.

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KW - Massive ultra-reliable and low latency communications (mURLLC)

KW - Performance analysis and optimization

KW - Simultaneous wireless information and power transfer (SWIPT)

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Xu Q, Li Z, Wu T, Zeng J. Performance Analysis and Optimization Strategy over Cell-Free Massive MIMO in the Finite Blocklength Regime. In Gao F, Wu J, Li Y, Gao H, editors, Communications and Networking - 17th EAI International Conference, Chinacom 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2023. p. 137-148. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-031-34790-0_11