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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 ...
On target coverage in mobile visual sensor networks
(
Association for Computing Machinery, Inc
, 2014 , Conference Paper)
Recent advancements in manufacturing low-cost wireless battery operated cameras has made their application in Wireless Video Sensor Networks (WVSN) increasingly more feasible and affordable. The application of robotic ...
Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Unmanned aerial vehicles (UAVs) have attracted great interest in the last few years owing to their ability to cover large areas and access difficult and hazardous target zones, which is not the case of traditional systems ...
On Designing Smart Agents for Service Provisioning in Blockchain-powered Systems
(
IEEE Computer Society
, 2021 , Article)
Service provisioning systems assign users to service providers according to allocation criteria that strike an optimal trade-off between users Quality of Experience (QoE) and the operation cost endured by providers. These ...
Outage optimal resource allocation for two-hop multiuser multirelay cooperative communication in OFDMA upstream
(
IEEE
, 2011 , Conference Paper)
We investigate an outage optimal adaptive resource allocation scheme for the upstream of two-hop OFDMA based decode-and-forward cooperative relay systems. The objective of this work is to design resource allocation strategy, ...
On the joint scheduling and intra-cell interference coordination in multi-relay LTE uplink
(
IEEE
, 2012 , Conference Paper)
The relay-assisted Long Term Evaluation (LTE) cellular system is one of the most promising technologies to enhance the throughput and coverage of the access network. Injection of relays in a cell opens many issues of ...
Energy-Aware Distributed Edge ML for mHealth Applications with Strict Latency Requirements
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Edge machine learning (Edge ML) is expected to serve as a key enabler for real-time mobile health (mHealth) applications. However, its reliability is governed by the limited energy and computing resources of user equipment ...
Optimal User-Edge Assignment in Hierarchical Federated Learning Based on Statistical Properties and Network Topology Constraints
(
IEEE Computer Society
, 2022 , Article)
Distributed learning algorithms aim to leverage distributed and diverse data stored at users' devices to learn a global phenomena by performing training amongst participating devices and periodically aggregating their local ...
Energy-aware cross-layer optimization for EEG-based wireless monitoring applications
(
IEEE Computer Society
, 2013 , Conference Paper)
Body Area Sensor Networks (BASNs) for healthcare applications have gained significant research interests recently due to the growing number of patients with chronic diseases requiring constant monitoring. Because of the ...
Utility-based efficient dynamic distributed resource allocation in buffer-aided relay-assisted OFDMA networks
(
Springer International Publishing
, 2015 , Article)
In this paper, we study resource allocation in buffer-aided relay-assisted OFDMA networks. We consider utility-based stochastic optimization framework where there are constraints to be met either instantaneously or in ...