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A Deep Reinforcement Learning Framework for Data Compression in Uplink NOMA-SWIPT Systems
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
<comment< Non-orthogonal multiple access (NOMA) shall play an important role in the current and foreseeable design of 5G and beyond networks. NOMA allows multiple users to share the same time-frequency ...
Deep Reinforcement Learning Algorithm for Smart Data Compression under NOMA-Uplink Protocol
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
One of the highly promising radio access strategies for enhancing performance in the next generation cellular communications is non-orthogonal multiple access (NOMA). NOMA offers a number of advantages including better ...
Energy-efficient on-board processing technique for wireless epileptic seizure detection systems
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Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
The growth of wireless body area sensor networks (WBASNs) has led the way to advancements In healthcare applications and patient monitoring systems; epileptic seizure lies at the heart of these promising technologies. For ...
Optimal resource allocation for green and clustered video sensor networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Article)
Wireless video sensor networks (WVSNs) are opening the door for many applications, such as industrial surveillance, environmental tracking, border security, and infrastructure health monitoring. In WVSN, energy conservation ...
Optimum power and rate allocation in video sensor networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2013 , Conference Paper)
In a sensor network, each sensor has a limited energy supply. Therefore, it is critical to minimize the power consumed by each sensor to maximize its lifetime. Video sensor networks differ from conventional sensor networks ...
Energy-cost-distortion optimization for delay-sensitive M-health applications
(
IEEE Computer Society
, 2015 , Conference Paper)
Mobile-health (m-health) systems leverage wireless and mobile communication technologies to promote new ways to acquire, process, transport, and secure the raw and processed medical data to provide the scalability needed ...
Optimum power and rate allocation in cluster based video sensor networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
In a wireless video sensor network (WVSN), each video sensor node consumes a significant amount of power on video compression in addition to the required power for communication. Therefore, the power optimization is a more ...
Fairness scheme for energy efficient H.264/AVC-based video sensor network
(
Springer Berlin Heidelberg
, 2015 , Article)
The availability of advanced wireless sensor nodes enable us to use video processing techniques in a wireless sensor network (WSN) platform. Such paradigm can be used to implement video sensor networks (VSNs) that can serve ...