Research Article
Performance Analysis and Optimization Strategy over Cell-Free Massive MIMO in the Finite Blocklength Regime
@INPROCEEDINGS{10.1007/978-3-031-34790-0_11, author={Qingqin Xu and Zhong Li and Teng Wu and Jie Zeng}, title={Performance Analysis and Optimization Strategy over Cell-Free Massive MIMO in the Finite Blocklength Regime}, proceedings={Communications and Networking. 17th EAI International Conference, Chinacom 2022, Virtual Event, November 19-20, 2022, Proceedings}, proceedings_a={CHINACOM}, year={2023}, month={6}, 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)}, doi={10.1007/978-3-031-34790-0_11} }- Qingqin Xu
Zhong Li
Teng Wu
Jie Zeng
Year: 2023
Performance Analysis and Optimization Strategy over Cell-Free Massive MIMO in the Finite Blocklength Regime
CHINACOM
Springer
DOI: 10.1007/978-3-031-34790-0_11
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.
