Moving Beyond Competitions: Extending D-Cube to Seamlessly Benchmark Low-Power Wireless Systems

2018 ◽  
Author(s):  
Markus Schuss ◽  
Carlo Alberto Boano ◽  
Kay Romer
Keyword(s):  
Low Power ◽  
Wireless Systems

Low power active shunt feedback CMOS low noise amplifier for wideband wireless systems

Integration ◽  
2019 ◽  
Vol 69 ◽  
pp. 189-197 ◽  
Author(s):  
Asieh Parhizkar Tarighat ◽  
Mostafa Yargholi
Keyword(s):  
Low Power ◽  
Wireless Systems ◽  
Low Noise ◽  
Low Noise Amplifier ◽  
Noise Amplifier

Low-Power On-The-Fly Reconfigurable Iterative MIMO Detection and LDPC Decoding Design

2014 ◽  
Vol 496-500 ◽  
pp. 1825-1829 ◽  
Author(s):  
Ehsan Rohani ◽  
Jing Wei Xu ◽  
Gwan Choi ◽  
Mi Lu
Keyword(s):  
Low Power ◽  
High Performance ◽  
Signal To Noise Ratio ◽  
Wireless Systems ◽  
Operating Conditions ◽  
Mimo Detection ◽  
Ldpc Decoding ◽  
Wide Range ◽  
Multiple Input

Manufacturing and operation of wireless systems require a practical solution for achieving low-power and high-performance when using advance communication apparatus such as that using multiple-input and multiple-output (MIMO). Often algorithm solutions achieve very high performance but over only in a narrow range of operating parameters. This paper presents a hardware design of MIMO detection that allows real-time switching between various algorithms and detection effort to achieve high performance over the wide-range of signal to noise ratio (SNR) found in realistic operating conditions. We illustrate a design with over 80% reduction in detection power that satisfies the required quality of service (QoS) in SNRs (Eb/No) as low as 8.7 dB.

scholarly journals On Location Estimation Technique Based of the Time of Flight in Low-power Wireless Systems

2015 ◽  
Vol 15 (2) ◽  
pp. 58-63 ◽  
Author(s):  
Miroslav Botta ◽  
Milan Simek ◽  
Ondrej Krajsa ◽  
Vladimir Cervenka ◽  
Tamas Pal
Keyword(s):  
Low Power ◽  
Time Of Flight ◽  
Distance Estimation ◽  
Wireless Systems ◽  
Location Estimation ◽  
Application Research ◽  
Estimation Algorithms ◽  
Sensor Networking ◽  
Ieee 802.15.4A ◽  
The Internet Of Things

Abstract This study deals with the distance estimation issue in low-power wireless systems being usually used for sensor networking and interconnecting the Internet of Things. There is an effort to locate or track these sensor entities for different needs the radio signal time of flight principle from the theoretical and practical side of application research is evaluated. Since these sensor devices are mainly targeted for low power consumption appliances, there is always need for optimization of any aspects needed for regular sensor operation. For the distance estimation we benefit from IEEE 802.15.4a technology, which offers the precise ranging capabilities. There is no need for additional hardware to be used for the ranging task and all fundamental measurements are acquired within the 15.4a standard compliant hardware in the real environment. The proposed work examines the problems and the solutions for implementation of distance estimation algorithms for WSN devices. The main contribution of the article is seen in this real testbed evaluation of the ranging technology.

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