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Joint Task Offloading and Resource Allocation for Multi-Task Multi-Server NOMA-MEC Networks
IEEE Access, 2021 By offloading computationally intensive tasks of smart end devices to edge servers deployed at the edge of the network, mobile edge computing (MEC) has become a promising technology to provide computing services for Internet of Things (IoT) devices.
Jianbin Xue, Yaning An
doaj +2 more sources
The effect of regional integration on the efficiency of enterprise resource allocation. [PDF]
Sci RepBased on a micro-entity perspective, this paper empirically examines the effect of regional integration on the efficiency of enterprise resource allocation.
Wu K, Yang S, Li Y, Zhu M.
europepmc +2 more sources
Calculation and analysis of the efficiency of resource allocation for technological innovation in China. [PDF]
PLoS OneThe efficiency of resource allocation in technological innovation is a critical factor influencing the output level of technological innovation. By expanding and optimizing the Hsieh & Klenow (2009) framework for analyzing the efficiency of resource ...
Chen R, Wu L.
europepmc +2 more sources
Resource Allocation for Text Semantic Communications [PDF]
IEEE Wireless Communications Letters, 2022 Semantic communications have shown its great potential to improve the transmission reliability, especially in the low signal-to-noise regime. However, resource allocation for semantic communications still remains unexplored, which is a critical issue in ...
Leibing Yan +4 more
semanticscholar +1 more source
Efficient Metropolitan Resource Allocation [PDF]
The School of Public Policy Publications, 2016 Over the past 30 years Calgary has doubled in size, from a population of 640,645 in 1985 to 1,230,915 in 2015. During that time the City has had five different mayors, hosted the Winter Olympics, and expanded the C-Train from 25 platforms to 45.
Richard Arnott
doaj +5 more sources
HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning [PDF]
IEEE Transactions on Wireless Communications, 2020 Federated Learning (FL) has been proposed as an appealing approach to handle data privacy issue of mobile devices compared to conventional machine learning at the remote cloud with raw user data uploading.
Siqi Luo +4 more
semanticscholar +1 more source
Forest Fire Effects on Landscape Snow Albedo Recovery and Decay
Remote Sensing, 2022 Surface snow albedo (SSA) darkens immediately following a forest fire, while landscape snow albedo (LSA) brightens as more of the snow-covered surface becomes visible under the charred canopy.
Max Gersh +2 more
doaj +1 more source
Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning [PDF]
IEEE Transactions on Wireless Communications, 2020 In federated learning (FL), devices contribute to the global training by uploading their local model updates via wireless channels. Due to limited computation and communication resources, device scheduling is crucial to the convergence rate of FL.
Wenqi Shi +4 more
semanticscholar +1 more source
IEEE Transactions on Parallel and Distributed Systems, 2022 To enable the large scale and efficient deployment of Artificial Intelligence (AI), the confluence of AI and Edge Computing has given rise to Edge Intelligence, which leverages on the computation and communication capabilities of end devices and edge ...
Wei Yang Bryan Lim +7 more
semanticscholar +1 more source
Resource Allocation for IRS-Assisted Full-Duplex Cognitive Radio Systems [PDF]
IEEE Transactions on Communications, 2020 In this article, we investigate the resource allocation design for intelligent reflecting surface (IRS)-assisted full-duplex (FD) cognitive radio systems. In particular, a secondary network employs an FD base station (BS) for serving multiple half-duplex
Dongfang Xu +4 more
semanticscholar +1 more source