Ultra-Massive MIMO Systems at Terahertz Bands: Prospects and Challenges
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Abstract (arXiv)
Terahertz (THz)-band communications are currently being celebrated as a key technology that could fulfill the increasing demands for wireless data traffic in the upcoming sixth-generation (6G) of wireless communications. Many challenges, such as high propagation losses and power limitations, which result in short communication distances, have yet to be addressed for this technology to be realized. Ultra-massive multiple-input, multiple-output (UM-MIMO) antenna systems have emerged as practical means for combatting this distance problem, thereby increasing system capacity. Towards that end, graphene-based nano-antennas have recently been proposed, as they can be individually tuned and collectively controlled in compact UM-MIMO array-of-sub-arrays architectures. In this paper, we present a holistic overview of THz UM-MIMO systems. We assess recent advancements in transceiver design and channel modeling, and discuss the major challenges and shortcomings of such designs by deriving the relationship between communication range, array dimensions, and system performance. We further highlight several research advances that could enhance resource allocation at the THz band, including waveform designs, multi-carrier configurations, and spatial modulations. Based on this discussion, we highlight prospective use cases that can bring THz UM-MIMO into reality in the context of sensing, data centers, cell-free systems, and mid-range wireless communications.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 28 Feb 2019.
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Citing papers per year: 2021: 2; 2022: 0; 2023: 1; 2024: 0; 2025: 1.
4 papers.
- 2023Joint Sensing, Communication, and AI: A Trifecta for Resilient THz User Experiencescited by 10
- 2021Terahertz-Band Joint Ultra-Massive MIMO Radar-Communications: Model-Based and Model-Free Hybrid Beamformingcited by 5
- 2021Signal Processing and Machine Learning Techniques for Terahertz Sensing: An Overviewcited by 1
- 2025RF-PGS: Fully-structured Spatial Wireless Channel Representation with Planar Gaussian Splattingcited by 1
- 2025RF-PGS: Fully-structured Spatial Wireless Channel Representation with Planar Gaussian Splatting23 Aug 2025
- 2023Joint Sensing, Communication, and AI: A Trifecta for Resilient THz User Experiences29 Apr 2023
- 2021Signal Processing and Machine Learning Techniques for Terahertz Sensing: An Overview9 Apr 2021
- 2021Terahertz-Band Joint Ultra-Massive MIMO Radar-Communications: Model-Based and Model-Free Hybrid Beamforming27 Feb 2021