Importance Sampling Techniques for Estimating The Bit Error Rate In Digital Communication Systems

Song, Wheyming Tina; Chiu, Wei-Chi; Goldsman, David

doi:10.1109/wsc.2005.1574574

Cited by 3 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…• Agglomeration arrangement with Particle Swarm Optimization. The Bit Error-Rate (Ber) is generated using Sampling of Importance [11], with a probability of error that creates a randomized o-setting of the mote's position by ±5% of the real position of the mote: a. 5% Generated Ber: Creates in a random sample of 5% of all Sanet motes providing irrelevant data and coordinate points.…”

Section: Approach Of the Mote Redistributionmentioning

confidence: 99%

Designing Biomimetic-Inspired Middleware for Anticipative Sensor-Actor Networks

Chiu

Chaczko

2015

Studies in Computational Intelligence

View full text Add to dashboard Cite

Developing software environments for Sensor-Actor Networks (Sanets) is a promising research concern in systems engineering. Current concepts in software would adopt Sanets in a singular communications methodology, but the solution in this work is to take biological inspiration for the systems solution, thus the design of the system achieves a biomimetic construct as a result. Sanets are congurable for a variety of network structures and topologies, with the research aim in designing a network that is interactive and anticipatory to external and internal adaptations. Meanwhile, the eventbased changes are composed of scenarios, and the interactivity between external and internal actors. From the requirements of the end-user, the system must be responsive and interactive from the user perspective in real-time, while in addition oering the contextual data to make useful interpretation of systemic conditions from an anticipative view [2].

show abstract

Section: Approach Of the Mote Redistributionmentioning

confidence: 99%

Designing Biomimetic-Inspired Middleware for Anticipative Sensor-Actor Networks

Chiu

Chaczko

2015

Studies in Computational Intelligence

View full text Add to dashboard Cite

show abstract

Robust Confidence Intervals for the Bernoulli Parameter

Song¹,

Chang²,

Liu³

2009

Communications in Statistics - Theory and Methods

View full text Add to dashboard Cite

Importance sampling techniques for estimating the bit error rate in digital communication systems

Song

Chiu

Liu

et al. 2010

Journal of the Chinese Institute of Industrial Engineers

View full text Add to dashboard Cite

We are interested in estimating the bit error rate (BER) for signal transmission in digital communication systems. Since BERs tend to be extremely small, it is difficult to obtain precise estimators based on the use of crude Monte Carlo simulation techniques. In this article, we review, expand upon, and evaluate a number of importance sampling variance reduction techniques for estimating the BER. We find that a mixture of certain ''tailed'' distributions with a uniform distribution produce estimators that are at least competitive with those in the literature. Our comparisons are based on analytical calculations and lay the groundwork for the evaluation of more-general mixture distributions.

show abstract

Importance Sampling Techniques for Estimating The Bit Error Rate In Digital Communication Systems

Cited by 3 publications

References 9 publications

Designing Biomimetic-Inspired Middleware for Anticipative Sensor-Actor Networks

Designing Biomimetic-Inspired Middleware for Anticipative Sensor-Actor Networks

Robust Confidence Intervals for the Bernoulli Parameter

Importance sampling techniques for estimating the bit error rate in digital communication systems

Contact Info

Product

Resources

About