Mobile Distributed MIMO (MD-MIMO) for NextG: Mobility Meets Cooperation in Distributed Arrays
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , , , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866913796590665728 |
|---|---|
| author | Said, Karim A. Liang, Yibin Saeed, Usama Safavinejad, Ramin Bondada, Kumar Sai Allen, Evan Mohammadi, Nima Pimentel, Benjamin Kelley, Brian Reed, Jeff Tripathi, Nishith Buehrer, Michael Yang Yi Jakubisin, Daniel Liu, Lingjia |
| author_facet | Said, Karim A. Liang, Yibin Saeed, Usama Safavinejad, Ramin Bondada, Kumar Sai Allen, Evan Mohammadi, Nima Pimentel, Benjamin Kelley, Brian Reed, Jeff Tripathi, Nishith Buehrer, Michael Yang Yi Jakubisin, Daniel Liu, Lingjia |
| contents | Distributed multiple-input multiple-output (D\mbox{-}MIMO) is a promising technology to realize the promise of massive MIMO gains by fiber-connecting the distributed antenna arrays, thereby overcoming the form factor limitations of co-located MIMO. In this paper, we introduce the concept of mobile D-MIMO (MD-MIMO) network, a further extension of the D-MIMO technology where distributed antenna arrays are connected to the base station with a wireless link allowing all radio network nodes to be mobile. This approach significantly improves deployment flexibility and reduces operating costs, enabling the network to adapt to the highly dynamic nature of next-generation (NextG) networks. We discuss use cases, system design, network architecture, and the key enabling technologies for MD-MIMO. Furthermore, we investigate a case study of MD-MIMO for vehicular networks, presenting detailed performance evaluations for both downlink and uplink. The results show that an MD-MIMO network can provide substantial improvements in network throughput and reliability. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_12244 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Mobile Distributed MIMO (MD-MIMO) for NextG: Mobility Meets Cooperation in Distributed Arrays Said, Karim A. Liang, Yibin Saeed, Usama Safavinejad, Ramin Bondada, Kumar Sai Allen, Evan Mohammadi, Nima Pimentel, Benjamin Kelley, Brian Reed, Jeff Tripathi, Nishith Buehrer, Michael Yang Yi Jakubisin, Daniel Liu, Lingjia Signal Processing Distributed multiple-input multiple-output (D\mbox{-}MIMO) is a promising technology to realize the promise of massive MIMO gains by fiber-connecting the distributed antenna arrays, thereby overcoming the form factor limitations of co-located MIMO. In this paper, we introduce the concept of mobile D-MIMO (MD-MIMO) network, a further extension of the D-MIMO technology where distributed antenna arrays are connected to the base station with a wireless link allowing all radio network nodes to be mobile. This approach significantly improves deployment flexibility and reduces operating costs, enabling the network to adapt to the highly dynamic nature of next-generation (NextG) networks. We discuss use cases, system design, network architecture, and the key enabling technologies for MD-MIMO. Furthermore, we investigate a case study of MD-MIMO for vehicular networks, presenting detailed performance evaluations for both downlink and uplink. The results show that an MD-MIMO network can provide substantial improvements in network throughput and reliability. |
| title | Mobile Distributed MIMO (MD-MIMO) for NextG: Mobility Meets Cooperation in Distributed Arrays |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2504.12244 |