• Title/Summary/Keyword: Software Defined Radio(SDR)

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Introducing Software Defined Radio to 4GWireless: Necessity, Advantage, and Impediment

  • Zamat, Hassan;Nassar, Carl R.
    • Journal of Communications and Networks
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    • v.4 no.4
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    • pp.344-350
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    • 2002
  • This work summarizes the current state of the art in software radio for 4G systems. Specifically, this work demonstrates that classic radio structures, e.g., heterodyne reception, homodyne reception, and their improved implementations, are inadequate selections for multi-mode reception. This opens the door to software defined radio, a novel reception architecture which promises ease in multi-band, multi-protocol design. The work presents the many advantages of such an architecture, including flexibility, reduced cost via component reduction, and improved reliability via, e.g., the elimination of environmental instability. The work also explains the limitations that currently curtail the widespread use of SDR, including issues surrounding A/D converters, management of software and power, and clock generation. This provides direction for future research to enable the broad applicability of SDR in 4G cellular and beyond.

Identification of Wi-Fi and Bluetooth Signals at the Same Frequency using Software Defined Radio

  • Do, Van An;Rana, Biswarup;Hong, Ic-Pyo
    • Journal of IKEEE
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    • v.25 no.2
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    • pp.252-260
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    • 2021
  • In this paper, a method of using Software Defined Radio (SDR) is proposed for improving the accuracy of identifying two kinds of signals as Wireless Fidelity (Wi-Fi) signal and Bluetooth signal at the same frequency band of 2.4 GHz based on the time-domain signal characteristic. An SDR device was set up for collecting transmitting signals from Wi-Fi access points (Wi-Fi) and mobile phones (Bluetooth). Different characteristics between Wi-Fi and Bluetooth signals were extracted from the measured result. The SDR device is programmed with a Wi-Fi and Bluetooth detection algorithm and a collision detection algorithm to detect and verify the Wi-Fi and Bluetooth signals based on collected IQ data. These methods are necessary for some applications like wireless communication optimization, Wi-Fi fingerprint localization, which helps to avoid interference and collision between two kinds of signals.

A Study on Technology Standardization as Introduction of SDR Technology (SDR 도입에 따른 기술 표준화에 관한 연구)

  • 정성철;김규환
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2002.11a
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    • pp.132-135
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    • 2002
  • In radio communication technology, SDR(Software Defined Radio) technology is emerging as a trendy technology for future. SDR is expected to change existing radio systems including central hardware. SDR is equipment that wireless parameters (frequency, modulation, additional service, power level, receive sensitivity, etc.) are controlled by software. In the world, equipments using the new technology are spreading. Not only equipments being imported but also local manufacturers are making this equipment, developing software and offering upgraded service. In the future, as SDR spreads and users choose the service, diverse equipments will be developed through competition and individual development. This diversity of equipment and services will introduce problems in compatibility and interoperation issues. So the government will have to make technical standard for SDR service and will have to make theses standards available to users and manufacturers alike. Therefore I am investigating the elements that can be used to establish these standards.

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Designing SCA-Based Component Framework for Dynamic Deployment of SDR Components (SDR 컴포넌트의 동적 배치를 위한 SCA 기반 컴포넌트 프레임워크의 설계)

  • 김세화;홍성수;장래혁
    • Journal of KIISE:Computing Practices and Letters
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    • v.9 no.3
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    • pp.241-253
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    • 2003
  • SCA (Software Communication Architecture), which has been adopted as a SDR(Software Defined Radio) Forum standard, provides a framework that successfully exploits common design patterns of embedded systems software. However, the SCA is inadequate as a component framework since it does not explicitly specify (1) a component model that defines how to express a component interface and how to implement it, (2) a package model that defines what and how to package in deployment units, and (3) a deployment model that defines the deployment environment and deployment process. In this paper, we propose a SCA-based component framework for SDR. Specifically, we present (1) a component model that defines a component as a specialized CORBA object that implements object management functionality, (2) a package model exploiting the existing XML descriptors of the SCA, and (3) a deployment model that defines a SCA-based deployment environment, a boot-up process that restores the deployment state, and a deployment process that supports lazy application instantiation and dynamic component replacement.

Implementation of LTE Transport Channel on Multicore DSP Software Defined Radio Platform (멀티코어 DSP 기반 소프트웨어 정의 라디오 플랫폼을 활용한 LTE 전송 채널의 구현)

  • Lee, Jin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.4
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    • pp.508-514
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    • 2020
  • To implement the continuously evolving mobile communication standards such as Long Term Evolution (LTE) and 5G, the Software Defined Radio (SDR) concept provides great flexibility and efficiency. For many years, a high-end Digital Signal Processor (DSP) System on Chip (SoC) has been developed to support multicore and various hardware coprocessors. This paper introduces the implementation of the SDR platform hardware using TI's TCI663x chip. Using the platform, LTE transport channel is implemented by interworking multicore DSP with Bit rate Coprocessor (BCP) and Turbo Decoder Coprocessor (TCP) and the performance is evaluated according to various implementation options. In order to evaluate the performance of the implemented LTE transport channel, LTE base station system was constructed by combining FPGA main board for physical channels, SDR platform board, and RF & Antenna board.

군사통신에서의 SDR의 현황과 추세

  • 천현수;홍대식
    • The Proceeding of the Korean Institute of Electromagnetic Engineering and Science
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    • v.10 no.3
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    • pp.29-38
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    • 1999
  • Software defined radio(SDR) si an emerging communication system technology, which is expected to be a solution for future-proof, flexible and inter-operable wireless services in military communications. In this paper, we investigate two major SDR research projects for military applications, SPEAKeasy and GloMo. We also provide the perspective of the future military SDR research.

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Design and Implementation of SDR-based Digital Filter Technique for Multi-Channel Systems (다중채널 시스템을 위한 SDR 기술기반의 디지털 필터 기법 설계 및 구현)

  • Yu, Bong-Guk;Bang, Young-Jo;Ra, Sung-Woong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.5A
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    • pp.494-499
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    • 2008
  • In this study, a Software Defined Radio(SDR) technology-based digital filtering technique applicable to a multiple channel processing system such as a wireless mobile communication system using Code Division Multiple Access(CDMA) technology is proposed. The technique includes a micro-processor to redesign Finite Impulse Response(FIR) filter coefficients according to specific system information and to download the filter coefficients to one digital Band Pass Filter(BPF) to reconfigure another system. The feasibility of the algorithm is verified by implementing a multiple channel signal generator that is reconfigurable to other system profiles, including those for a CDMA system and a WCDMA system on identical hardware platform.

A Deep Learning-based Automatic Modulation Classification Method on SDR Platforms (SDR 플랫폼을 위한 딥러닝 기반의 무선 자동 변조 분류 기술 연구)

  • Jung-Ik, Jang;Jaehyuk, Choi;Young-Il, Yoon
    • Journal of IKEEE
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    • v.26 no.4
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    • pp.568-576
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    • 2022
  • Automatic modulation classification(AMC) is a core technique in Software Defined Radio(SDR) platform that enables smart and flexible spectrum sensing and access in a wide frequency band. In this study, we propose a simple yet accurate deep learning-based method that allows AMC for variable-size radio signals. To this end, we design a classification architecture consisting of two Convolutional Neural Network(CNN)-based models, namely main and small models, which were trained on radio signal datasets with two different signal sizes, respectively. Then, for a received signal input with an arbitrary length, modulation classification is performed by augmenting the input samples using a self-replicating padding technique to fit the input layer size of our model. Experiments using the RadioML 2018.01A dataset demonstrated that the proposed method provides higher accuracy than the existing methods in all signal-to-noise ratio(SNR) domains with less computation overhead.

Design and Implementation of Software Defined Radio Based IEEE 802.11ac Encoder Using Multicore DSP (멀티코어 DSP를 사용한 SDR 기반 IEEE 802.11ac 인코더의 설계 및 구현)

  • Zhang, Zhongfeng;Ahn, Heungseop;Choi, Seungwon
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.15 no.4
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    • pp.93-101
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    • 2019
  • This paper presents a software design and implementation of software-defined radio based IEEE 802.11ac encoder using Texas Instruments TMS320C6670 digital signal processor (DSP) platform. In this paper, the implemented encoder has the capability of generating all the signals consisting of preamble field and data field under different modulation & coding scheme in the IEEE 802.11ac standard. Moreover, the flexibility in choosing different rate, bandwidth, or mode can also be achieved by software reconfiguration using the DSP. As a result, by utilizing the computing power provided by multi-cores as well as the FFT coprocessors in the DSP, the required maximum throughput 78Mbps can be fully reached within 4 ㎲ for each OFDM symbol in the case of 20MHz bandwidth of IEEE 802.11ac.

A Resource Design Methodology and Adapters Implementation for Core Framework for Software Defined Radio

  • Son, Jin-Ho;Tai M. Chung
    • Journal of electromagnetic engineering and science
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    • v.3 no.2
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    • pp.91-98
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    • 2003
  • Software Communication Architecture(SCA) has been made to reduce the development period of new waveform applications by reusing design modules. Software Defined Radio(SDR) forum adopted SCA specification and follows its design concept. However, SCA specification does not describe interfaces and deployments of resources in details, which are software components, and how to implement them as well as how to communicate each other are another missing points in specification. In this paper, we propose a resource design methodology and details of adapter implementation for Core Framework(CF) that is a core set of open interface and services providing an abstraction of the underlying software and hardware layer. We also present SDR prototype system which communicates with resources implemented in different programming languages and processors in legacy environment through our design methodology.