Performance Analysis of Hybrid Cellular and Cell-free MIMO Network
Zhuoyin Dai, Jingran Xu, Xiaoli Xu, Ruoguang Li, Yong Zeng

TL;DR
This paper analyzes the performance limits of hybrid cellular and cell-free MIMO networks using stochastic geometry, focusing on signal coupling, interference, and coverage probability with conjugate beamforming.
Contribution
It develops a stochastic geometric model for hybrid networks and derives coverage probability, providing insights into their performance with conjugate beamforming.
Findings
Coverage probability expressions derived and validated
Hybrid network performance benefits from joint cellular and cell-free deployment
Simulation results confirm analytical accuracy
Abstract
Cell-free wireless communication is envisioned as one of the most promising network architectures, which can achieve stable and uniform communication performance while improving the system energy and spectrum efficiency. The deployment of cell-free networks is envisioned to be a longterm evolutionary process, in which cell-free access points (APs) will be gradually introduced into the communication network and collaborate with the existing cellular base stations (BSs). To further explore the performance limits of hybrid cellular and cell-free networks, this paper develops a hybrid network model based on stochastic geometric toolkits, which reveals the coupling of the signal and interference from both the cellular and cell-free networks. Specifically, the conjugate beamforming is applied in hybrid cellular and cell-free networks, which enables user equipment (UE) to benefit from both…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Cooperative Communication and Network Coding · Advanced Wireless Network Optimization
MethodsBalanced Selection
