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06/19/2022
Graph Neural Network Aided MU-MIMO Detectors
Multi-user multiple-input multiple-output (MU-MIMO) systems can be used ...
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03/09/2022
Practical Considerations of DER Coordination with Distributed Optimal Power Flow
The coordination of prosumer-owned, behind-the-meter distributed energy ...
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01/11/2022
Graph Neural Network Aided Expectation Propagation Detector for MU-MIMO Systems
Multiuser massive multiple-input multiple-output (MU-MIMO) systems can b...
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12/23/2021
Density Evolution Analysis of the Iterative Joint Ordered-Statistics Decoding for NOMA
In this paper, we develop a density evolution (DE) framework for analyzi...
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10/28/2021
NOMA Joint Decoding based on Soft-Output Ordered-Statistics Decoder for Short Block Codes
In this paper, we design the joint decoding (JD) of non-orthogonal multi...
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10/27/2021
A Linear Bayesian Learning Receiver Scheme for Massive MIMO Systems
Much stringent reliability and processing latency requirements in ultra-...
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10/27/2021
A Bayesian Receiver with Improved Complexity-Reliability Trade-off in Massive MIMO Systems
The stringent requirements on reliability and processing delay in the fi...
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09/17/2020
Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation
In this paper, we develop a knowledge-assisted deep reinforcement learni...
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03/29/2020
Deep Learning for Radio Resource Allocation with Diverse Quality-of-Service Requirements in 5G
To accommodate diverse Quality-of-Service (QoS) requirements in the 5th ...
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02/22/2020
Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks
In the future 6th generation networks, ultra-reliable and low-latency co...
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06/30/2019
Deep Learning for Hybrid 5G Services in Mobile Edge Computing Systems: Learn from a Digital Twin
In this work, we consider a mobile edge computing system with both ultra...
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06/05/2019
