Wireless Mobile Distributed-MIMO for 6G
Kumar Sai Bondada, Daniel J. Jakubisin, Karim Said, R. Michael, Buehrer, Lingjia Liu

TL;DR
This paper introduces a novel 6G architecture where wireless mobile nodes, including UEs and UAVs, participate in joint D-MIMO transmission with the base station, enhancing capacity through a two-phase operation.
Contribution
It proposes a new wireless mobile D-MIMO architecture with mobile nodes acting as cooperative transmission relays, a concept not previously explored for 6G systems.
Findings
Capacity is improved compared to direct BS-UE communication.
Realistic 3GPP channel models validate the architecture's effectiveness.
Two-phase operation enables efficient joint transmission with mobile nodes.
Abstract
The paper proposes a new architecture for Distributed MIMO (D-MIMO) in which the base station (BS) jointly transmits with wireless mobile nodes to serve users (UEs) within a cell for 6G communication systems. The novelty of the architecture lies in the wireless mobile nodes participating in joint D-MIMO transmission with the BS (referred to as D-MIMO nodes), which are themselves users on the network. The D-MIMO nodes establish wireless connections with the BS, are generally near the BS, and ideally benefit from higher SNR links and better connections with edge-located UEs. These D-MIMO nodes can be existing handset UEs, Unmanned Aerial Vehicles (UAVs), or Vehicular UEs. Since the D-MIMO nodes are users sharing the access channel, the proposed architecture operates in two phases. First, the BS communicates with the D-MIMO nodes to forward data for the joint transmission, and then the BS…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Cooperative Communication and Network Coding · Advanced Wireless Network Optimization
MethodsBalanced Selection
