Channel selectivity schemes for re-transmission diversity in industrial wireless system

2017 ◽  
Author(s):  
K. A. Maria ◽  
N. Sutisna ◽  
Y. Nagao ◽  
L. Lanante ◽  
M. Kurosaki ◽  
...  
Keyword(s):  
Wireless System ◽  
Channel Selectivity ◽  
Transmission Diversity

A 60GHz CMOS Transceiver IC for a Short-Range Wireless System with Amplitude/Phase Imbalance Cancellation Technique

2012 ◽  
Vol E95.C (10) ◽  
pp. 1598-1609 ◽  
Author(s):  
Koji TAKINAMI ◽  
Junji SATO ◽  
Takahiro SHIMA ◽  
Mitsuhiro IWAMOTO ◽  
Taiji AKIZUKI ◽  
...  
Keyword(s):  
Short Range ◽  
Wireless System

120-GHz-Band Amplifier Module with Hermetic Sealing Structure for 10-Gbit/s Wireless System

2014 ◽  
Vol E97.C (6) ◽  
pp. 583-591
Author(s):  
Hiroyuki TAKAHASHI ◽  
Toshihiko KOSUGI ◽  
Akihiko HIRATA ◽  
Jun TAKEUCHI ◽  
Koichi MURATA ◽  
...  
Keyword(s):  
Wireless System ◽  
Hermetic Sealing

scholarly journals Trajectory planning in UAV emergency networks with potential underlaying D2D communication based on K-means

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Shuo Zhang ◽  
Shuo Shi ◽  
Tianming Feng ◽  
Xuemai Gu
Keyword(s):  
Trajectory Planning ◽  
Trajectory Optimization ◽  
Communication Systems ◽  
Complete Coverage ◽  
Wireless System ◽  
Fifth Generation ◽  
Emergency Communications ◽  
Trajectory Length ◽  
Post Disaster ◽  
Joint Evaluation

AbstractAt present, unmanned aerial vehicles (UAVs) have been widely used in communication systems, and the fifth-generation wireless system (5G) has further promoted the vigorous development of them. The trajectory planning of UAV is an important factor that affects the timeliness and completion of missions, especially in scenarios such as emergency communications and post-disaster rescue. In this paper, we consider an emergency communication network where a UAV aims to achieve complete coverage of potential underlaying device-to-device (D2D) users. Trajectory planning issues are grouped into clustering and supplementary phases for optimization. Aiming at trajectory length and sum throughput, two trajectory planning algorithms based on K-means are proposed, respectively. In addition, in order to balance sum throughput with trajectory length, we present a joint evaluation index. Then relying on this index, a third trajectory optimization algorithm is further proposed. Simulation results show the validity of the proposed algorithms which have advantages over the well-known benchmark scheme in terms of trajectory length and sum throughput.

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