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20092024
most citedApplications of Stochastic Ordering to Wireless Communications

52 citations · 276 across the 37 of their papers we have counts for

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Showing 2011Show all

6 papers · 1 filter

cs.IT2011★ 20 cited

Multi-User Diversity with Random Number of Users

Adarsh B. Narasimhamurthy, Cihan Tepedelenlioglu, Yuan Zhang

Multi-user diversity is considered when the number of users in the system is random. The complete monotonicity of the error rate as a function of the (deterministic) number of user…

cs.IT2011★ 7 cited

Asymptotic Capacity Analysis for Adaptive Transmission Schemes under General Fading Distributions

Yuan Zhang, Cihan Tepedelenlioglu

Asymptotic comparisons of ergodic channel capacity at high and low signal-to-noise ratios (SNRs) are provided for several adaptive transmission schemes over fading channels with ge…

cs.IT2011★ 10 cited

Applications of Tauberian Theorem for High-SNR Analysis of Performance over Fading Channels

Yuan Zhang, Cihan Tepedelenlioglu

This paper derives high-SNR asymptotic average error rates over fading channels by relating them to the outage probability, under mild assumptions. The analysis is based on the Tau…

cs.IT2011★ 2 cited

Distributed SNR Estimation using Constant Modulus Signaling over Gaussian Multiple-Access Channels

Mahesh K. Banavar, Cihan Tepedelenlioglu, Andreas Spanias

A sensor network is used for distributed joint mean and variance estimation, in a single time snapshot. Sensors observe a signal embedded in noise, which are phase modulated using…

cs.IT2011★ 5 cited

Space-Time Coding over Fading Channels with Stable Noise

Junghoon Lee, Cihan Tepedelenlioglu

This paper addresses the performance of space-time coding over fading channels with impulsive noise which is known to accurately capture network interference. We use the symmetric…

cs.IT2011★ 52 cited

Applications of Stochastic Ordering to Wireless Communications

Cihan Tepedelenlioglu, Adithya Rajan, Yuan Zhang

Stochastic orders are binary relations defined on probability distributions which capture intuitive notions like being larger or being more variable. This paper introduces stochast…