scholarly journals System Parameter Design of Multimodal Small Satellite SARs Operating in Scan Mode and Transmit Power Optimization for Marine Scenes

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 36974-36987
Author(s):  
Peng Zhou ◽  
Weiqiang Lv ◽  
Zhenhua Zhang ◽  
Ying Wang ◽  
Xi Zhang ◽  
...  
Keyword(s):  
System Parameter ◽  
Power Optimization ◽  
Parameter Design ◽  
Small Satellite ◽  
Transmit Power

Optimization BLE Power Beacon for Indoor Locations Static Smart Device with Gaussian Filter

2021 ◽  
Vol 11 (1) ◽  
pp. 23
Author(s):  
Fanda Lyta Suzanayanti ◽  
Mudrik Alaydrus
Keyword(s):  
Power Optimization ◽  
Distance Estimation ◽  
Line Of Sight ◽  
Smart Device ◽  
Gaussian Filter ◽  
Additional Method ◽  
Transmit Power ◽  
Indoor Location ◽  
Improving Accuracy ◽  
Non Line Of Sight

BLE beacon in an indoor location, battery efficiency usage must be right. Power beacons as one of the keys that need to be optimized. The decrease in power beacons will decrease the estimated distance from an indoor location based on the RSSI value. Therefore, an additional method is needed to recover the estimated distance's accuracy value due to the reduced power. In this paper, the method for recovery accuracy is by using a gaussian filter. Measurements were made at the same position on 3 BLE signals from multipower transmitters, which differed in their transmit power (TX power -1 dBm, -9 dBm and -20 dBm). The first six points are selected with the position of the line of sight as environment 1, and the second six points are chosen with the position of non-line of sight as environment 2 (obstructed). The first point of each environment is used as a reference. In environment 1, transmit power reduces the 24 dB effect to a decrease in accuracy distance estimation. The Gaussian effectiveness filter for improvement accuracy at all measurement points or 100%. In environment 2, reduce power transmit 12 dB is not followed by a decrease in accuracy distance estimation. The effectiveness of the Gaussian filter for improving accuracy is 60% of the number of measurement points. Finally, the Gaussian filter in the power optimization can provide recovery accuracy distance estimation is 80% from measurement sample for environment 1 and environment 2.

UAV-Enabled Secure Communications: Joint Trajectory and Transmit Power Optimization

2019 ◽  
Vol 68 (4) ◽  
pp. 4069-4073 ◽  
Author(s):  
Xiaobo Zhou ◽  
Qingqing Wu ◽  
Shihao Yan ◽  
Feng Shu ◽  
Jun Li
Keyword(s):  
Power Optimization ◽  
Secure Communications ◽  
Transmit Power

scholarly journals Transmit power optimization for relay-aided multi-carrier D2D communication

2018 ◽  
Vol 23 (1) ◽  
pp. 65-74 ◽  
Author(s):  
Muhammad Waqas ◽  
Guftaar Ahmad Sardar Sidhu ◽  
Tayyaba Jabeen ◽  
Muhammad Afaq Ahmad ◽  
Muhammad Awais Javed
Keyword(s):  
Power Optimization ◽  
D2d Communication ◽  
Transmit Power

scholarly journals Joint Location and Transmit Power Optimization for NOMA-UAV Networks via Updating Decoding Order

2020 ◽  
pp. 1-1
Author(s):  
Ran Zhang ◽  
Xiaowei Pang ◽  
Jie Tang ◽  
Yunfei Chen ◽  
Nan Zhao ◽  
...  
Keyword(s):  
Power Optimization ◽  
Transmit Power ◽  
Joint Location

scholarly journals Robust Trajectory and Transmit Power Optimization for Secure UAV-Enabled Cognitive Radio Networks

2020 ◽  
Vol 68 (7) ◽  
pp. 4022-4034 ◽  
Author(s):  
Yifan Zhou ◽  
Fuhui Zhou ◽  
Huilin Zhou ◽  
Derrick Wing Kwan Ng ◽  
Rose Qingyang Hu
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Power Optimization ◽  
Radio Networks ◽  
Transmit Power
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