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02/22/2022
A Deep Reinforcement Learning based Approach for NOMA-based Random Access Network with Truncated Channel Inversion Power Control
As a main use case of 5G and Beyond wireless network, the ever-increasin...
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01/02/2021
Learning-Based Distributed Random Access for Multi-Cell IoT Networks with NOMA
Non-orthogonal multiple access (NOMA) is a key technology to enable mass...
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09/17/2020
SREC: Proactive Self-Remedy of Energy-Constrained UAV-Based Networks via Deep Reinforcement Learning
Energy-aware control for multiple unmanned aerial vehicles (UAVs) is one...
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05/07/2020
A Gradient-Aware Search Algorithm for Constrained Markov Decision Processes
The canonical solution methodology for finite constrained Markov decisio...
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02/14/2020
Optimizing Non-Orthogonal Multiple Access in Random Access Networks
Non-orthogonal multiple access (NOMA) has been considered as a promising...
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01/31/2020
Constrained Deep Reinforcement Learning for Energy Sustainable Multi-UAV based Random Access IoT Networks with NOMA
In this paper, we apply the Non-Orthogonal Multiple Access (NOMA) techni...
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06/01/2019
On the Fairness Performance of NOMA-based Wireless Powered Communication Networks
The near-far problem causes severe throughput unfairness in wireless pow...
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10/12/2018
Throughput Analysis and Energy Efficiency Optimization for Standalone LTE-U Networks with Randomly Delayed CSI
To coexist with Wi-Fi friendly, a standalone long-term evolution network...
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06/02/2018
A Stochastic Geometry Analysis of Energy Harvesting in Large Scale Wireless Networks
In this paper, the theoretical sustainable capacity of wireless networks...
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05/06/2018
Beamforming Design for Max-Min Fair SWIPT in Green Cloud-RAN with Wireless Fronthaul
In this paper, a joint beamforming design for max-min fair simultaneous ...
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03/28/2018
