Evaluating the Licklider Transmission Protocol using Software-Defined Radio

2021 ◽  
Author(s):  
Dharun Anandayuvaraj ◽  
Ricardo Lent
Keyword(s):  
Software Defined Radio ◽  
Transmission Protocol

scholarly journals Selection and Application of the Data Transfer Operating Protocol Software Architecture for the Software-Defined Radio

2019 ◽  
Vol 22 (4) ◽  
pp. 18-30
Author(s):  
Oleg V. Vorobyov ◽  
Alexey I. Rybakov
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Software Architecture ◽  
Software Defined Radio ◽  
Communication Systems ◽  
Digital Signal ◽  
Transmission Protocol ◽  
Radio System ◽  
Functional Description ◽  
System Layout

Introduction. The demodulator structure is described and decoding algorithm for signal-code constructions development is presented. The structure and functional description of the developed software (SW), which is designed for the installation of the software-defined radio in the radio stations layout, are presented. The frame structures of the broadcast and half-duplex protocols, modulation/demodulation and subsequent digital signal processing in existing and prospect radio communication systems are considered.Objective. Investigation of modulation/demodulation methods and subsequent digital signal processing along with requirements imposed by them on the network stations equipment and system operation algorithms.Materials and methods. The software for the software-defined radio system layout is developed to demonstrate the reliability and operability of the proposed algorithm and transmission protocol. It can be used to receive and transmit information by using ionospheric reflections. Present design takes into account existing standards and amateur systems such as WinLink and information systems (digital and analog) for the "physical" and "channel" levels.Results. The structure and functional description of the developed software for the software-defined radio system layout are given. The possible realization of the software-defined radio channel for data receiving and transfer by using ionospheric reflections is presented. The results of technical solutions experimental testing are shown. The software can use hardware and software to control the transceiver module, which includes the SunSDR2 transceiver and antenna amplifier.Conclusion. The structure and functional description of the developed software are presented as a result of the software architecture selection and its application investigation. It is concluded that the reliability and operability justification of the proposed algorithm and transmission protocol is relevant in a field of the digital receivers development for communication systems of various purposes. The presented experimental studies data on verification of the proposed algorithm show the feasibility of present solutions on the qualitative utilization of the channel resource by using the described code structure. The present results allow to determine the most appropriate and efficient way of the software development allowing to create a technique that can meet the maximum number of possible assignments of radio access channels.

Performance of Chaotic CDMA System implemented on Software-Defined Radio System

2014 ◽  
Vol 1 ◽  
pp. 662-665
Author(s):  
Hisashi Watanabe ◽  
Yuichi Omori ◽  
Mikio Hasegawa ◽  
Kazuyuki Aihara
Keyword(s):  
Software Defined Radio ◽  
Cdma System ◽  
Radio System

Degree-of-Freedom Based Transmission Protocol Design with Optimization for Multi-Cell Multi-User Green Systems

2014 ◽  
Vol E97.B (12) ◽  
pp. 2784-2789
Author(s):  
Chunguo LI ◽  
Yongping ZHANG ◽  
John M. CIOFFI ◽  
Luxi YANG
Keyword(s):  
Protocol Design ◽  
Degree Of Freedom ◽  
Transmission Protocol

scholarly journals Intelligent Non-Contact Sensing for Connected Health Using Software Defined Radio Technology

Electronics ◽  
2021 ◽  
Vol 10 (13) ◽  
pp. 1558
Author(s):  
Muhammad Bilal Khan ◽  
Mubashir Rehman ◽  
Ali Mustafa ◽  
Raza Ali Shah ◽  
Xiaodong Yang
Keyword(s):  
Psychological Health ◽  
Software Defined Radio ◽  
Orthogonal Frequency Division Multiplexing ◽  
Additive White Gaussian Noise ◽  
Vital Signs ◽  
Wireless Channel ◽  
Machine Learning Algorithms ◽  
Breathing Patterns ◽  
Connected Health ◽  
Innovative Solution

The unpredictable situation from the Coronavirus (COVID-19) globally and the severity of the third wave has resulted in the entire world being quarantined from one another again. Self-quarantine is the only existing solution to stop the spread of the virus when vaccination is under trials. Due to COVID-19, individuals may have difficulties in breathing and may experience cognitive impairment, which results in physical and psychological health issues. Healthcare professionals are doing their best to treat the patients at risk to their health. It is important to develop innovative solutions to provide non-contact and remote assistance to reduce the spread of the virus and to provide better care to patients. In addition, such assistance is important for elderly and those that are already sick in order to provide timely medical assistance and to reduce false alarm/visits to the hospitals. This research aims to provide an innovative solution by remotely monitoring vital signs such as breathing and other connected health during the quarantine. We develop an innovative solution for connected health using software-defined radio (SDR) technology and artificial intelligence (AI). The channel frequency response (CFR) is used to extract the fine-grained wireless channel state information (WCSI) by using the multi-carrier orthogonal frequency division multiplexing (OFDM) technique. The design was validated by simulated channels by analyzing CFR for ideal, additive white gaussian noise (AWGN), fading, and dispersive channels. Finally, various breathing experiments are conducted and the results are illustrated as having classification accuracy of 99.3% for four different breathing patterns using machine learning algorithms. This platform allows medical professionals and caretakers to remotely monitor individuals in a non-contact manner. The developed platform is suitable for both COVID-19 and non-COVID-19 scenarios.

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