SDR OFDM Waveform Design for a UGV/UAV Communication Scenario

Blumm, Christian; Heller, Christoph; Weigel, Robert

doi:10.1007/s11265-011-0640-8

Cited by 16 publications

(6 citation statements)

References 21 publications

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“…The concept of designing new communication devices that can confirm their operational roles in a self-organized way to cope with rapid changes in the work environment has gained considerable attention from the wireless research community [13]. The availability of new general-purpose and powerful hardware platforms can be dynamically reconfigured through a program [14]. It paves the way for new research trends where complex communication scenarios can be deployed [15].…”

Section: Fig 1 Mobile Relay Devices Supporting Sdr Capabilitiesmentioning

confidence: 99%

Management of Wireless Communication Systems Using Artificial Intelligence-Based Software Defined Radio

Bargarai

Abdulazeez

Tiryaki

et al. 2020

Int. J. Interact. Mob. Technol.

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The wireless communication system was investigated by novel methods, which produce an optimized data link, especially the software-based methods. Software-Defined Radio (SDR) is a common method for developing and implementing wireless communication protocols. In this paper, SDR and artificial intelligence (AI) are used to design a self-management communication system with variable node locations. Three affected parameters for the wireless signal are considered: channel frequency, bandwidth, and modulation type. On one hand, SDR collects and analyzes the signal components while on the other hand, AI processes the situation in real-time sequence after detecting unwanted data during the monitoring stage. The decision was integrated into the system by AI with respect to the instantaneous data read then passed to the communication nodes to take its correct location. The connectivity ratio and coverage area are optimized nearly double by the proposed method, which means the variable node location, according to the peak time, increases the attached subscriber by a while ratio

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Section: Fig 1 Mobile Relay Devices Supporting Sdr Capabilitiesmentioning

confidence: 99%

Management of Wireless Communication Systems Using Artificial Intelligence-Based Software Defined Radio

Bargarai

Abdulazeez

Tiryaki

et al. 2020

Int. J. Interact. Mob. Technol.

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“…Because it was implemented by taking into account flexibility since the early stages of the project, the proposed channel sounder offers great opportunities for improvement. The next step will be the integration of the proposed channel sounder in the complete proprietarily developed Orthogonal Frequency Division Multiplex (OFDM) based waveform, explained in detail in [7], in order to achieve adaptive remodulation of the system characteristics. In order to parameterize the OFDM link adequately, the propagation environment must be determined in terms of delay spread and Doppler spread, information combined in the so-called scattering function, which can be captured by the channel sounder.…”

Section: Discussionmentioning

confidence: 99%

2.1 - Real-Time Channel Sounding for Channel-Adaptive Data Links

Ganis¹,

Bluemm²,

Heller³

et al. 2014

Proceeding - Etc2014

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“…In Software Defined Radio (SDR), the components that have been traditionally implemented in hardware (such as mixers, filters and modulators) are instead implemented in software (computers or embedded systems) [178]. The SDN (Software-Defined Networking) implementations based on FPGA includes OFDM modulators [179][180][181][182][183], BPSK (Binary Phase Shift Keying) modulators [184,185], QPSK (Quadrature Phase Shift Keying) modulators [184,186], GNSS (Global Navigation Satellite System) and GPS (Global Positioning System) receivers [187][188][189][190], CDMA (Code-Division Multiple Access) [191] and QAM (Quadrature Amplitude Modulation) modulators [192,193]. Network on chip (NoC) is a paradigm which aims to solve the communication issues between the CPU units of the next generation of many core System on Chip (SoC).…”

Section: Networkingmentioning

confidence: 99%

Field Programmable Gate Array Applications—A Scientometric Review

2019

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Field Programmable Gate Array (FPGA) is a general purpose programmable logic device that can be configured by a customer after manufacturing to perform from a simple logic gate operations to complex systems on chip or even artificial intelligence systems. Scientific publications related to FPGA started in 1992 and, up to now, we found more than 70,000 documents in the two leading scientific databases (Scopus and Clarivative Web of Science). These publications show the vast range of applications based on FPGAs, from the new mechanism that enables the magnetic suspension system for the kilogram redefinition, to the Mars rovers’ navigation systems. This paper reviews the top FPGAs’ applications by a scientometric analysis in ScientoPy, covering publications related to FPGAs from 1992 to 2018. Here we found the top 150 applications that we divided into the following categories: digital control, communication interfaces, networking, computer security, cryptography techniques, machine learning, digital signal processing, image and video processing, big data, computer algorithms and other applications. Also, we present an evolution and trend analysis of the related applications.

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SDR OFDM Waveform Design for a UGV/UAV Communication Scenario

Cited by 16 publications

References 21 publications

Management of Wireless Communication Systems Using Artificial Intelligence-Based Software Defined Radio

Management of Wireless Communication Systems Using Artificial Intelligence-Based Software Defined Radio

2.1 - Real-Time Channel Sounding for Channel-Adaptive Data Links

Field Programmable Gate Array Applications—A Scientometric Review

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