Multiple Acces Computational Offloading

Central Publication

• Mahsa Salmani and Timothy N. Davidson.
  Multiple acces computational offloading
  in Proceedings of the 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications,
  Edinburgh, July 2016

Abstract

• Mobile cloud computing provides shared computa- tional resources to which mobile devices can offload computa- tional tasks in order to reduce energy consumption or reduce the latency of the task execution. The decision of whether or not to offload a task can be formulated as a joint optimization problem over the available computational and radio resources. When multiple users seek to offload tasks through a single access point, the radio resources are constrained by the region of achievable rates on the multiple access channel. In this paper a quasi-closed form solution is obtained for a problem in which two users jointly optimize their offloading decisions and their rates and power allocations so as to minimize the energy required to meet specified latency constraints

Paper

• The paper is available on IEEEXplore: http://doi.org/10.1109/SPAWC.2016.7536749.

Related references

• The ideas in this paper have been generalized to:
  • finite (but still long) block lengths.
  • limited computational resources
  • partial offloading

Back to my publications-by-topic page.