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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2020.3045503
Abstract: Ultra high reliability and ultra low latency are the key objectives of the internet of things (IoT) with massive connectivity. To support these objectives, we investigate the resource allocation for the user-centric multi-cell multiple-input multiple-output…
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Keywords:
optimization;
beamforming optimization;
allocation;
problem ... See more keywords
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Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3140752
Abstract: Malicious jamming attacks have been regarded as a serious threat to Internet of Things (IoT) networks, which can significantly degrade the Quality of Service (QoS) of users. This article utilizes an intelligent reflecting surface (IRS)…
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Keywords:
multiuser irs;
beamforming optimization;
robust beamforming;
irs assisted ... See more keywords
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Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3196683
Abstract: The joint provision of higher data rates and massive Internet of Things (IoT) connectivity has been identified as one of the key milestones toward beyond 5G (B5G). To this end, we investigate the issue of…
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Keywords:
selection beamforming;
device selection;
large scale;
beamforming optimization ... See more keywords
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Published in 2020 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2020.2994218
Abstract: This letter considers the communication between a multiple antenna Base Station (BS) and a single antenna user, assisted by an Intelligent Reflecting Surface (IRS). Due to the large number of elements at the IRS, acquiring…
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Keywords:
without csi;
beamforming optimization;
intelligent reflecting;
optimization intelligent ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3152253
Abstract: In this paper, we propose a cost-efficient beamforming optimization algorithm for multi-user wireless communication systems associated with the intelligent reflecting surface (IRS). From the baseline successive refinement algorithm, which gives a sub-optimal solution for the…
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Keywords:
complexity beamforming;
low complexity;
irs aided;
beamforming optimization ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2022.3193138
Abstract: Deep learning (DL) techniques have been intensively studied for the optimization of multi-user multiple-input single-output (MU-MISO) downlink systems owing to the capability of handling nonconvex formulations. However, the fixed computation structure of existing deep neural…
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Keywords:
neural network;
bipartite graph;
beamforming optimization;
graph neural ... See more keywords