Energy-optimal Computational Offloading for Simplified Multiple Access Schemes

Central Publication

• Mahsa Salmani and Timothy N. Davidson.
  Energy-optimal Computational Offloading for Simplified Multiple Access Schemes
  to appear in Conference Record of the 51st Asilomar Conference on Signals, Systems and Computers,
  Pacific Grove, CA, October 2017

Abstract

• Computation offloading is a promising approach to reducing the energy consumption or application execution time in mobile devices. In this paper, we consider a system in which two users offload their latency-constrained applications to a single access point. The system has a three time slot structure in which the users transmit simultaneously or separately, and we determine quasi-closed-form expressions for the transmission powers, the rates and the duration of each time slot to minimize the energy consumption of such a system when the simplified multiple access schemes time-division multiple access (TDMA), sequential decoding (without time sharing) and independent decoding are employed in the first time slot. The results enable us to examine how the shape of the achievable rate region of the chosen multiple access scheme influences the performance of that scheme under different conditions.

Paper

• The paper will appear here in due course.

Related references

• This paper was motivated in part by earlier work on resource allocation for the full multiple access schemes in the case of long block lengths.

• An extension to scenarios with limited computational resources and long block lengths appears here.

• An extension to the case of partial offloading appears here.

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