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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 ...
B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
In order to maintain a satisfactory performance in the midst of rapid growth of mobile traffic, the mobile network infrastructure needs to be scaled. Thus there has been significant interest in scalability of mobile core ...
Kinetic modeling of microalgae growth and CO2 bio-fixation using central composite design statistical approach
(
Elsevier B.V.
, 2020 , Article)
The optimum growth (μ), CO2 bio-fixation (RCO2) rates and the energy ratio (ER) of microalgae Chlorella vulgaris (C.v) were identified using central composite design statistical approach (CCD-SA). μ and RCO2 parameters ...
Cognitive relaying in wireless sensor networks: Performance analysis and optimization
(
IEEE
, 2010 , Conference Paper)
The anticipated increase in the density of the deployed wireless sensor networks calls for spectrum sharing through unlicensed access to licensed spectrum. The key technology for spectrum sharing in this scenario is cognitive ...
Dynamic optimization of LTE pilot scattering based on channel estimation
(
IEEE
, 2012 , Conference Paper)
A dynamic optimization of the pilot scattering for Long Term Evolution (LTE) downlink system is introduced. This optimization is based on channel parameters estimations to optimize the number of pilots used in the transmission ...
Optimal power allocation for relayed transmissions over Rayleigh-fading channels
(
IEEE
, 2004 , Article)
Relayed transmission is a way to attain broader coverage by splitting the communication link from the source to the destination into several shorter links/hops. One of the main advantages of this communication technique ...
Optimized Selective OFDMA in multihop network
(
IEEE
, 2012 , Conference Paper)
Selective OFDMA is a powerfull relaying technique with subcarrier based selection. This scheeme has a high potential to considerably improve the performance of cooperative OFDM systems. However, in practice, the implementation ...