activity
20092023
most citedWireless Information and Energy Transfer for Two-Hop Non-Regenerative MIMO-OFDM Relay Networks

196 citations · 1.4k across the 94 of their papers we have counts for

collaborators
Showing 2018Show all

7 papers · 1 filter

cs.IT2018

Age of Information Upon Decisions

Yunquan Dong, Zhengchuan Chen, Shanyun Liu +1

We consider an M/M/1 update-and-decide system where Poisson distributed decisions are made based on the received updates. We propose to characterize the freshness of the received u…

eess.SP2018

Minor probability events detection in big data: An integrated approach with Bayesian testing and MIM

Shuo Wan, Jiaxun Lu, Pingyi Fan +1

The minor probability events detection is a crucial problem in Big data. Such events tend to include rarely occurring phenomenons which should be detected and monitored carefully.…

cs.NI2018★ 23 cited

A Swarming Approach to Optimize the One-hop Delay in Smart Driving Inter-platoon Communications

Qiong Wu, Shuzhen Nie, Pingyi Fan +3

In this paper, we propose a swarming approach and optimize the one-hop delay for interplatoon communications through adjusting the minimum contention window size of each backbone v…

cs.IT2018

A Switch to the Concern of User: Importance Coefficient in Utility Distribution and Message Importance Measure

Shanyun Liu, Rui She, Shuo Wan +2

This paper mainly focuses on the utilization frequency in receiving end of communication systems, which shows the inclination of the user about different symbols. When the average…

cs.IT2018

Differential Message Importance Measure: A New Approach to the Required Sampling Number in Big Data Structure Characterization

Shanyun Liu, Rui She, Pingyi Fan

Data collection is a fundamental problem in the scenario of big data, where the size of sampling sets plays a very important role, especially in the characterization of data struct…

cs.IT2018★ 2 cited

How Many Samples Required in Big Data Collection: A Differential Message Importance Measure

Shanyun Liu, Rui She, Pingyi Fan

Information collection is a fundamental problem in big data, where the size of sampling sets plays a very important role. This work considers the information collection process by…