Zhao, Junbo, Rahmani, Mostafa orcid.org/0000-0002-7943-9977 and Burr, Alister Graham orcid.org/0000-0001-6435-3962 (2025) Decentralized Distributed Massive MIMO. IEEE Transactions on Wireless Communications. ISSN 1536-1276
Abstract
In this paper, we introduce the concept of "Decentralized Distributed Massive MIMO" (multiple-input multipleoutput), which decentralizes the baseband processing to the network edge and distributes the Massive MIMO (also known as cell-free massive MIMO). In Decentralized Distributed Massive MIMO (DD-mMIMO), the signal processing is performed at edge processing units (EPUs) located closer to the access points (APs) rather than in a single remote central processing unit (CPU), significantly reducing the latency. This avoids cluster edge effects that may arise in cell-free massive MIMO. To avoid this, DD-mMIMO defines coordination regions which may overlap, which implies the APs in the overlap area may be coordinated by more than one EPU. To analyse the performance of the system, we derive an expression of the achievable uplink spectral efficiency (SE) within multiple-antenna APs for various data detection algorithms. The numerical results demonstrate that DD-mMIMO has the potential to fulfill the ultra-dense low-latency requirement in the next generation mobile network and beyond.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © IEEE 2025. This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy. |
Dates: |
|
Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Electronic Engineering (York) |
Funding Information: | Funder Grant number THE DEPARTMENT FOR CULTURE, MEDIA AND SPORT TS/X013758/1 EPSRC EP/X01309X/1 |
Depositing User: | Pure (York) |
Date Deposited: | 13 Feb 2025 05:32 |
Last Modified: | 02 Apr 2025 23:29 |
Published Version: | https://doi.org/10.36227/techrxiv.173894901.113904... |
Status: | Published |
Refereed: | No |
Identification Number: | 10.36227/techrxiv.173894901.11390499/v1 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:223263 |