Energy Minimization of Multi-user Latency-constrained Binary Computation Offloading

Computation offloading expands the range of computationally-intensive and latency-constrained tasks that mobile users can execute. In a multi-user setting, the system selects the offloading users and allocates resources to them so that the overall energy consumption is minimized. We show herein that...

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Bibliographic Details
Published in:Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) pp. 4589 - 4593
Main Authors: Salmani, Mahsa, Davidson, Timothy N.
Format: Conference Proceeding
Language:English
Published: IEEE 01.05.2019
Subjects:
Acoustics
Computer architecture
Energy consumption
Minimization
Resource management
Signal processing
Signal processing algorithms
Speech processing
Time division multiple access
ISSN:2379-190X
Online Access:Get full text
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Summary:Computation offloading expands the range of computationally-intensive and latency-constrained tasks that mobile users can execute. In a multi-user setting, the system selects the offloading users and allocates resources to them so that the overall energy consumption is minimized. We show herein that when the users have different latencies, the appropriate signalling architecture has a time-slotted structure with different subsets of the offloading users transmitting in each time slot. Furthermore, for multiple access schemes that exploit the full capabilities of the channel we analytically determine the optimal signalling architecture and we develop a highly-efficient algorithm for the power and rate allocations in each time slot. Our numerical results illustrate the advantages of the proposed system over those that employ a single-slot architecture and over time division multiple access.
ISSN:2379-190X
DOI:10.1109/ICASSP.2019.8683347