NDLI: Towards optimal error-estimating codes through the lens of Fisher information analysis

Content Provider	ACM Digital Library
Author	Li, Baochun Xu, Jun Hua, Nan Lall, Ashwin
Abstract	Error estimating coding (EEC) has recently been established as an important tool to estimate bit error rates in the transmission of packets over wireless links, with a number of potential applications in wireless networks. In this paper, we present an in-depth study of error estimating codes through the lens of Fisher information analysis and find that the original EEC estimator fails to exploit the information contained in its code to the fullest extent. Motivated by this discovery, we design a new estimator for the original EEC algorithm, which significantly improves the estimation accuracy, and is empirically very close to the Cramer-Rao bound. Following this path, we generalize the EEC algorithm to a new family of algorithms called gEEC generalized EEC. These algorithms can be tuned to hold 25-35% more information with the same overhead, and hence deliver even better estimation accuracy---close to optimal, as evidenced by the Cramer-Rao bound. Our theoretical analysis and assertions are supported by extensive experimental evaluation.
Starting Page	125
Ending Page	136
Page Count	12
File Format	PDF
ISSN	01635999
DOI	10.1145/2318857.2254773
Journal	ACM SIGMETRICS Performance Evaluation Review (PERV)
Volume Number	40
Issue Number	1
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-01-10
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Error estimating coding Fisher information
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Towards optimal error-estimating codes through the lens of Fisher information analysis

Error estimating codes for insertion and deletion channels

Towards optimal error-estimating codes through the lens of fisher information analysis abstract.

Poster:on the capacity delay error tradeoff of source coding

Fisher Information-based Experiment Design for Network Tomography

Efficient error estimating coding:feasibility and applications

Towards architecture independent metrics for multicore performance analysis

TELEPORT – Towards immersive copresence

On Model Selection, Bayesian Networks, and the Fisher Information Integral

Towards optimal error-estimating codes through the lens of Fisher information analysis

Similar Documents

Towards optimal error-estimating codes through the lens of Fisher information analysis

Error estimating codes for insertion and deletion channels

Towards optimal error-estimating codes through the lens of fisher information analysis abstract.

Poster:on the capacity delay error tradeoff of source coding

Fisher Information-based Experiment Design for Network Tomography

Efficient error estimating coding:feasibility and applications

Towards architecture independent metrics for multicore performance analysis

TELEPORT – Towards immersive copresence

On Model Selection, Bayesian Networks, and the Fisher Information Integral

Towards optimal error-estimating codes through the lens of Fisher information analysis