Decentralized Algorithms for Out-of-System Interference Suppression in Distributed MIMO

Out-of-system (OoS) interference is a potential limitation for distributed networks that operate in unlicensed spectrum or in a spectrum sharing scenario. The OoS interference differs from the in-system interference in that OoS signals and their associated channels (or even their statistics) are com...

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Bibliographic Details
Published in:IEEE wireless communications letters 2024-07, Vol.13 (7), p.1953-1957
Main Authors: Shaik, Zakir Hussain, Larsson, Erik G.
Format: Article
Language:English
Subjects:
Algorithms
cell-free massive MIMO
Central processing units
Channel estimation
CPUs
distributed processing
Downlink
Interference
Out-of-system interference
Payloads
procrustes method
Signal transmission
Symbols
Topology
Uplink
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Summary:Out-of-system (OoS) interference is a potential limitation for distributed networks that operate in unlicensed spectrum or in a spectrum sharing scenario. The OoS interference differs from the in-system interference in that OoS signals and their associated channels (or even their statistics) are completely unknown. In this letter, we propose a novel distributed algorithm that can mitigate OoS interference in the uplink and suppress the signal transmission in the OoS direction in the downlink. To estimate the OoS interference, each access point (AP), upon receiving an estimate of OoS interference from a previous AP, computes a better estimate of OoS interference by rotate-and-average using Procrustes method and forwards the estimates to the next AP. This process continues until the central processing unit (CPU) receives the final estimate. Our method has comparable performance to that of a fully centralized interference rejection combining algorithm and has much lower fronthaul load requirements.
ISSN:2162-2337
2162-2345
2162-2345
DOI:10.1109/LWC.2024.3397559