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Igor M. Guerreiro

Publications and source records attributed to Igor M. Guerreiro.

3 recordsLinked to original sources

Zone-Based Interference Management for Underlay Spectrum Sharing in Cell-Free Networks

Underlay spectrum sharing enables flexible coexistence between a primary network (PN) and a secondary network (SN), but inter-network interference remains a critical limiting factor. Existing mitigation strategies often rely on instantaneous channel state information (CSI), incurring high signaling overhead. This work proposes a zoning-based interference management framework that leverages large-scale channel statistics to partition the PN into interference zones and classify secondary APs (S-APs) into risk tiers. The zone-level characterization enables selective power-reduction policies with reduced coordination complexity. Simulation results confirm that the proposed framework protects the PN while preserving SN spectral efficiency (SE) in distributed cell-free deployments.

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Study on coexisting 6G D-MIMO and massive MIMO networks operating in TDD

In this study, the coexistence between a multiple-input and multiple-output (MIMO) primary network (PN) and a distributed MIMO (D-MIMO) secondary network (SN) is analyzed when both networks operate in time division duplex (TDD) and their uplink (UL) and downlink (DL) phases are not synchronized. The impact of the interference is observed when the networks operate with different 3GPP slot patterns, which vary in terms of UL/DL proportion and slot position, resulting in a significant impact on their overall spectral efficiency (SE). Given that, we propose a slot pattern coordination to reduce the perceived interference on the PN network by controlling the features of the pattern used by the SN. The results show that this strategy helps to avoid loss of performance at the PN.

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Interference mitigation with block diagonalization for IRS-aided MU-MIMO communications

This work investigates interference mitigation techniques in multi-user multiple input multiple output (MU-MIMO) Intelligent Reflecting Surface (IRS)-aided networks, focusing on the base station end. Two methods of precoder design based on block diagonalization are proposed. The first method does not consider the interference caused by the IRS, seeking to mitigate only the multi-user interference. The second method mitigates both the IRS-caused interference and the multi-user interference. A comparison between both methods within an no-IRS MU-MIMO network with strong direct links is provided. The results show that, although in some circumstances IRS interference can be neglected, treating it can improve system capacity and provide higher spectral efficiency

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