Joint Energy-Based Optimization of Binary Offloading Decisions and Communication Resources in TDMA Systems, via Dynamic Programming

This work addresses the problem of jointly optimizing the binary offloading decision making and the communication resource allocation for a system using time-division multiple access (TDMA). The goal is to minimize the cost of the energy expended by all devices, while meeting individual deadlines an...

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Bibliographic Details
Published in:Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) pp. 1 - 5
Main Authors: Ji, Ruilin, Dumitrescu, Sorina
Format: Conference Proceeding
Language:English
Published: IEEE 06.04.2025
Subjects:
Binary computation offloading
Costs
Dynamic programming
Heuristic algorithms
Optimization
Programming
resource allocation
Resource management
Signal processing
Signal processing algorithms
Speech processing
TDMA
Time division multiple access
ISSN:2379-190X
Online Access:Get full text
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Summary:This work addresses the problem of jointly optimizing the binary offloading decision making and the communication resource allocation for a system using time-division multiple access (TDMA). The goal is to minimize the cost of the energy expended by all devices, while meeting individual deadlines and power budget constraints. Prior work addressing this problem proposed a suboptimal solution. We show that the problem can be solved globally optimally using an efficient dynamic programming algorithm.
ISSN:2379-190X
DOI:10.1109/ICASSP49660.2025.10889215