49 citations · 103 across the 21 of their papers we have counts for
7 papers · 1 filter
Semi-centralized control for multi-robot formation and theoretical lower bound
Shuo Wan, Jiaxun Lu, Pingyi Fan +1
Multi-robot formation control enables robots to cooperate as a working group in completing complex tasks, which has been widely used in both civilian and military scenarios. Before…
Beyond Empirical Models: Pattern Formation Driven Placement of UAV Base Stations
Jiaxun Lu, Shuo Wan, Xuhong Chen +3
This work considers the placement of unmanned aerial vehicle base stations (UAV-BSs) with criterion of minimum UAV-recall-frequency (UAV-RF), indicating the energy efficiency of mo…
Energy-efficient 3D UAV-BS Placement Versus Mobile Users' Density and Circuit Power
Jiaxun Lu, Shuo Wan, Xuhong Chen +1
Properly 3D placement of unmanned aerial vehicle mounted base stations (UAV-BSs) can effectively prolong the life-time of the mobile ad hoc network, since UAVs are usually powered…
Directivity-Beamwidth Tradeoff of Massive MIMO Uplink Beamforming for High Speed Train Communication
Xuhong Chen, Jiaxun Lu, Tao Li +2
High-mobility adaption and massive Multiple-input Multiple-output (MIMO) application are two primary evolving objectives for the next generation high speed train (HST) wireless com…
Toward Traffic Patterns in High-speed Railway Communication Systems: Power Allocation and Antenna Selection
Jiaxun Lu, Ke Xiong, Xuhong Chen +1
In high-speed railway (HSR) communication systems, distributed antenna is usually employed to support frequent handover and enhance the signal to noise ratio to user equipments. In…
Massive MIMO Beam-forming for High Speed Train Communication: Directivity vs Beamwidth
Xuhong Chen, Jiaxun Lu, Pingyi Fan
High-mobility adaption and massive Multiple-input Multiple-output (MIMO) application are two primary evolving objectives for the next generation high speed train communication syst…
Shannon Shakes Hands with Chernoff: Big Data Viewpoint On Channel Information Measures
Shanyun Liu, Rui She, Jiaxun Lu +1
Shannon entropy is the most crucial foundation of Information Theory, which has been proven to be effective in many fields such as communications. Renyi entropy and Chernoff inform…