Improving Energy-Efficiency Using Successively Reordered Transmissions and Feedback

Adhikary, S and Mehta, NB (2021) Improving Energy-Efficiency Using Successively Reordered Transmissions and Feedback. In: UNSPECIFIED.

PDF pro_iee_glo_com_con_glo_2021 .pdf..pdf - Published Version Restricted to Registered users only Download (500kB) | Request a copy

Abstract

For the binary hypothesis testing problem, we propose a novel feedback-enhanced successively reordered transmissions scheme (FE-SRTS), in which the nodes change the order in which they transmit based on the feedback from the fusion node (FN) in each step. It can be implemented in a distributed manner using the timer scheme without any node knowing the measurement of any other node. We derive novel decision rules for it that enable the FN to decide on a hypothesis after receiving only a subset of measurements. For the Bayesian detection framework, FE-SRTS achieves the same optimal error probability as the unordered transmissions scheme (UTS), in which all the nodes transmit their log-likelihood ratios to the FN. However, it requires far fewer nodes to transmit, on average, than UTS, which leads to a much higher energy-efficiency. As the signal-to-noise ratio increases, the average number of transmissions of FE-SRTS decreases to two. This is much lower than the average number of transmissions of the conventional ordered transmissions scheme, which does not employ feedback and does not update the order in which the nodes transmit. © 2021 IEEE.

Item Type:	Conference Paper
Publication:	Proceedings - IEEE Global Communications Conference, GLOBECOM
Additional Information:	The copyright for this article belongs to HuaweiIntelQualcommVodafoneZTE.
Keywords:	Energy efficiency; Statistical tests; Transmissions, Average numbers; Bayesian detection; Binary Hypothesis Testing; Decision rules; Detection framework; Error probabilities; Measurements of; Number of transmissions; Optimal error; Transmission schemes, Signal to noise ratio
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	21 May 2024 03:30
Last Modified:	21 May 2024 03:30
URI:	https://eprints.iisc.ac.in/id/eprint/84574

Actions (login required)

View Item