In this paper, we propose a novel resource management scheme that jointly allocates the transmit
power and computational resources in a centralized radio access network architecture. The network
comprises a set of computing nodes to which the requested tasks of different users are offloaded. The
optimization problem minimizes the energy consumption of task offloading while takes the end-to-end latency, i.e., the transmission, execution, and propagation latencies of each task, into account. We aim to

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Documentation: 
[1] Mohsen Tajallifar, "Energy-Efficient Task Offloading Under E2E Latency Constraints", IEEE Dataport, 2021. [Online]. Available: http://dx.doi.org/10.21227/w5tv-yz53. Accessed: Sep. 17, 2024.
@data{w5tv-yz53-21,
doi = {10.21227/w5tv-yz53},
url = {http://dx.doi.org/10.21227/w5tv-yz53},
author = {Mohsen Tajallifar },
publisher = {IEEE Dataport},
title = {Energy-Efficient Task Offloading Under E2E Latency Constraints},
year = {2021} }
TY - DATA
T1 - Energy-Efficient Task Offloading Under E2E Latency Constraints
AU - Mohsen Tajallifar
PY - 2021
PB - IEEE Dataport
UR - 10.21227/w5tv-yz53
ER -
Mohsen Tajallifar. (2021). Energy-Efficient Task Offloading Under E2E Latency Constraints. IEEE Dataport. http://dx.doi.org/10.21227/w5tv-yz53
Mohsen Tajallifar, 2021. Energy-Efficient Task Offloading Under E2E Latency Constraints. Available at: http://dx.doi.org/10.21227/w5tv-yz53.
Mohsen Tajallifar. (2021). "Energy-Efficient Task Offloading Under E2E Latency Constraints." Web.
1. Mohsen Tajallifar. Energy-Efficient Task Offloading Under E2E Latency Constraints [Internet]. IEEE Dataport; 2021. Available from : http://dx.doi.org/10.21227/w5tv-yz53
Mohsen Tajallifar. "Energy-Efficient Task Offloading Under E2E Latency Constraints." doi: 10.21227/w5tv-yz53