J
Jingxian Wu
Researcher at University of Arkansas
Publications - 209
Citations - 3473
Jingxian Wu is an academic researcher from University of Arkansas. The author has contributed to research in topics: Fading & Communication channel. The author has an hindex of 24, co-authored 187 publications receiving 2883 citations. Previous affiliations of Jingxian Wu include University of Missouri & University of Arkansas System.
Papers
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Approximating a Sum of Random Variables with a Lognormal
TL;DR: A simple, novel, and general method for approximating the sum of independent or arbitrarily correlated lognormal random variables (RV) by a single logn formalism RV without the extremely precise numerical computations at a large number of points that were required by the previously proposed methods.
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A Survey on High Mobility Wireless Communications: Challenges, Opportunities and Solutions
Jingxian Wu,Pingzhi Fan +1 more
TL;DR: A systematic review of high mobility communications, which focuses primarily on physical layer operations, which are affected the most by the mobile environment, and comprehensive reviews of techniques that can address these challenges and utilize the unique opportunities.
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Optimal Status Update for Age of Information Minimization With an Energy Harvesting Source
Xianwen Wu,Jing Yang,Jingxian Wu +2 more
TL;DR: The metric Age of Information, the time that has elapsed since the last received update was generated, is used to measure the “freshness” of the status information available at the destination to design optimal online status update policies to minimize the long-term average AoI.
Posted Content
Optimal Status Update for Age of Information Minimization with an Energy Harvesting Source
Xianwen Wu,Jing Yang,Jingxian Wu +2 more
TL;DR: In this paper, an energy harvesting sensor continuously monitors a system and sends time-stamped status updates to a destination, where the destination keeps track of the system status through the received updates.
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A discrete-time model for triply selective MIMO Rayleigh fading channels
TL;DR: In this paper, a statistical discrete-time model is proposed for simulating wideband MIMO fading channels which are triply selective due to angle spread, Doppler spread, and delay spread.