Prospective Multiple Antenna Technologies for Beyond 5G
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Abstract (arXiv)
Multiple antenna technologies have attracted large research interest for several decades and have gradually made their way into mainstream communication systems. Two main benefits are adaptive beamforming gains and spatial multiplexing, leading to high data rates per user and per cell, especially when large antenna arrays are used. Now that multiple antenna technology has become a key component of the fifth-generation (5G) networks, it is time for the research community to look for new multiple antenna applications to meet the immensely higher data rate, reliability, and traffic demands in the beyond 5G era. We need radically new approaches to achieve orders-of-magnitude improvements in these metrics and this will be connected to large technical challenges, many of which are yet to be identified. In this survey paper, we present a survey of three new multiple antenna related research directions that might play a key role in beyond 5G networks: Cell-free massive multiple-input multiple-output (MIMO), beamspace massive MIMO, and intelligent reflecting surfaces. More specifically, the fundamental motivation and key characteristics of these new technologies are introduced. Recent technical progress is also presented. Finally, we provide a list of other prospective future research directions.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Sep 2019.
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Citing papers per year: 2021: 3; 2022: 4; 2023: 0; 2024: 2; 2025: 2.
11 papers.
- 2021Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applicationscited by 96
- 2021Hybrid Policy Learning for Energy-Latency Tradeoff in MEC-Assisted VR Video Servicecited by 5
- 2022Deep Learning-Based Rate-Splitting Multiple Access for Reconfigurable Intelligent Surface-Aided Tera-Hertz Massive MIMOcited by 4
- 2024Deep Joint Semantic Coding and Beamforming for Near-Space Airship-Borne Massive MIMO Networkcited by 4
- 2022Graph Neural Network Aided MU-MIMO Detectorscited by 2
- 2024Large Language Model Empowered Next-Generation MIMO Networks: Fundamentals, Challenges, and Visionscited by 2
- 2021Deep Learning-Based Power Control for Uplink Cell-Free Massive MIMO Systemscited by 0
- 2022Deep Reinforcement Learning-Based Adaptive IRS Control with Limited Feedback Codebookscited by 0
- 2022Exploiting Deep Reinforcement Learning for Edge Caching in Cell-Free Massive MIMO Systemscited by 0
- 2025Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systemscited by 0
- 2025E2E Learning Massive MIMO for Multimodal Semantic Non-Orthogonal Transmission and Fusioncited by 0
- 2025E2E Learning Massive MIMO for Multimodal Semantic Non-Orthogonal Transmission and Fusion9 Sep 2025
- 2025Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems31 Aug 2025
- 2024Deep Joint Semantic Coding and Beamforming for Near-Space Airship-Borne Massive MIMO Network30 May 2024
- 2024Large Language Model Empowered Next-Generation MIMO Networks: Fundamentals, Challenges, and Visions13 Apr 2024
- 2022Deep Learning-Based Rate-Splitting Multiple Access for Reconfigurable Intelligent Surface-Aided Tera-Hertz Massive MIMO18 Sep 2022
- 2022Exploiting Deep Reinforcement Learning for Edge Caching in Cell-Free Massive MIMO Systems26 Aug 2022
- 2022Graph Neural Network Aided MU-MIMO Detectors19 Jun 2022
- 2022Deep Reinforcement Learning-Based Adaptive IRS Control with Limited Feedback Codebooks7 May 2022
- 2021Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications24 Nov 2021
- 2021Deep Learning-Based Power Control for Uplink Cell-Free Massive MIMO Systems18 Oct 2021
- 2021Hybrid Policy Learning for Energy-Latency Tradeoff in MEC-Assisted VR Video Service2 Apr 2021