Energy-Efficient Cell-Free Massive MIMO Through Sparse Large-Scale Fading Processing

1 code implementation • 29 Aug 2022 • Shuaifei Chen, Jiayi Zhang, Emil Björnson, Özlem Tuğfe Demir, Bo Ai

In this paper, we propose a sparse distributed processing design for CF mMIMO, where the AP-UE association and long-term signal processing coefficients are jointly optimized.

Exploiting Deep Reinforcement Learning for Edge Caching in Cell-Free Massive MIMO Systems

no code implementations • 26 Aug 2022 • Yu Zhang, Shuaifei Chen, Jiayi Zhang

Cell-free massive multiple-input-multiple-output is promising to meet the stringent quality-of-experience (QoE) requirements of railway wireless communications by coordinating many successional access points (APs) to serve the onboard users coherently.

reinforcement-learning Reinforcement Learning (RL)

Structured Massive Access for Scalable Cell-Free Massive MIMO Systems

no code implementations • 18 Jun 2020 • Shuaifei Chen, Jiayi Zhang, Emil Björnson, Jing Zhang, Bo Ai

However, there are still many unsolved practical issues in cell-free massive MIMO systems, whereof scalable massive access implementation is one of the most vital.

Fairness