Applications of software-defined radio (SDR) technology in hospital environments

Chávez-Santiago, Raúl; Mateska, Aleksandra Krkoleva; Chomu, Konstantin; Gavrilovska, Liljana; Balasingham, Ilangko

doi:10.1109/embc.2013.6609738

Cited by 15 publications

(5 citation statements)

References 10 publications

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“…One of the contributions that led to the thought of resorting to the design of a mobile communications system and the use of SDRs is because it allows interoperability with other network devices, the wireless communication systems, and military industry, among others and, because of its abilities to change protocols in real-time [21].…”

Section: Related Workmentioning

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: Related Workmentioning

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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“…Further, software could be downloaded over the air, allowing existing devices to implement new standards as well as fix bugs. Finally, in environments such as hospitals a single device would be able to communicate with equipment using different frequency ranges and communication standards [34]. • Virtual Wireless and wired networks: With programmable hardware, it would be possible to dynamically spawn and destroy new wireless networks, based on the demands of the users.…”

Section: Potential Uses Of Programmable Networkmentioning

confidence: 99%

Programmable Networks—From Software-Defined Radio to Software-Defined Networking

Macedo

Guedes

Vieira

et al. 2015

IEEE Commun. Surv. Tutorials

109

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Current implementations of Internet systems are very hard to be upgraded. The ossification of existing standards restricts the development of more advanced communication systems. New research initiatives such as virtualization, softwaredefined radios and software-defined networks allow more flexibility for networks. However, until now, those initiatives have been developed individually. We advocate that the convergence of these overlying and complementary technologies can expand the amount of programmability on the network and support different innovative applications. Hence, this article surveys the most recent research initiatives on programmable networks. We characterize programmable networks, where programmable devices execute specific code, and the network is separated into three planes: data, control and management planes. We discuss the modern programmable network architectures, emphasizing their research issues and, when possible, we highlight their practical implementations. We survey the wireless and wired elements on the programmable data plane. Next, on the programmable control plane, we survey the divisor and controller elements. We conclude with final considerations, open issues and future challenges.

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“…[14][15][16] The following rules are needed to be taken care of while coding in CSD format. 17 Two consecutive numbers must not be non-zero. Minimum non-zero digits must be used to represent the value.…”

Section: Canonical Signed Digit (Csd)mentioning

confidence: 99%

Performance Analysis of High Speed and Area Efficient Finite Impulse Response Filters

Hussain

Parvin²

2020

SMSJ

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This study represents the designing and implementation of a bandpass finite impulse response (FIR) filter of order 31 using windowing techniques. The frequency parameters used are of a typical GSM receiver,19 which is one of the applications of software-defined radio (SDR). To minimize filter area, various multiplication techniques like a canonical signed digit, Vedic multiplier, booth multiplier, and modified booth multiplier are used. Adders like ripple carry adder, carry save adder, carry look ahead adder, and Kogge-Stone adder are used to add the product from the multiplier unit. A comparison between three different windows has been made. The FIR is designed in MATLAB using a windowing technique. Then it is synthesized on Xilinx 14.7, Virtex 6 XC6VLX760, whose results are included in this paper.

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Applications of software-defined radio (SDR) technology in hospital environments

Cited by 15 publications

References 10 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

Programmable Networks—From Software-Defined Radio to Software-Defined Networking

Performance Analysis of High Speed and Area Efficient Finite Impulse Response Filters

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