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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Veröffentlicht in:Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) S. 1 - 5
Hauptverfasser: Ji, Ruilin, Dumitrescu, Sorina
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 06.04.2025
Schlagworte:
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
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Zusammenfassung: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