Architecture and implementation of a Software-Defined Radio baseband processor

Ramacher, Ulrich; Raab, W.; Hachmann, U.; Langen, Dominik; Berthold, J.; Kramer, R.; Schackow, A.; Grassmann, Cyprian; Sauermann, Mirko; Szreder, P.; Capar, Fatih; Obradovic, G.; Xu, Wen; Brüls, N.; Lee, Kang; Weber, Eugène; Kuhn, Ray; Harrington, John

doi:10.1109/iscas.2011.5938035

Cited by 16 publications

(3 citation statements)

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“…Power consumption in WCDMA mode is 382 mW for the worst case and 280 mW for normal case. This chip is provided as a commercial solution under the name X-GOLD SDR 20 by Infineon [17]. It is programmed using a mix of C code and assembly code for critical processing.…”

Section: B Co-processor Approachmentioning

confidence: 99%

Software defined radio architecture survey for cognitive testbeds

Dardaillon

Marquet

Risset

et al. 2012

2012 8th International Wireless Communications and Mobile Computing Conference (IWCMC)

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Abstract-In this paper we present a survey of existing prototypes dedicated to software defined radio. We propose a classification related to the architectural organization of the prototypes and provide some conclusions about the most promising architectures. This study should be useful for cognitive radio testbed designers who have to choose between many possible computing platforms. We also introduce a new cognitive radio testbed currently under construction and explain how this study have influenced the test-bed designers choices.

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Section: B Co-processor Approachmentioning

confidence: 99%

Software defined radio architecture survey for cognitive testbeds

Dardaillon

Marquet

Risset

et al. 2012

2012 8th International Wireless Communications and Mobile Computing Conference (IWCMC)

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“…Open-source software in the field of cellular telecommunications networks and Software Defined Radio (SDR) fit this purpose. These technologies enable realizing cellular telecommunications networks in a portable manner with higher flexibility at a more affordable price (Mishra et al, 2017;Ramacher, 2011). OpenAirInterface (OAI) is an open-source software created to develop the next generation of LTE cellular network technology (Paudel, 2016).…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Anomaly Detection System on Portable LTE Telecommunication Networks Using OpenAirInterface and ELK

Nugroho¹,

Harwahyu²,

Sari³

et al. 2023

IJTech

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Anomaly detection (AD) is a solution for cellular operators to overcome the difficulty of quality control over the proliferation of cellular phone usage. The telecommunications network monitoring system with anomaly detection enables immediate discovery of problems before they become more complex. Monitoring activities produce logs, which are then analyzed according to the interest, often with the help of statistics and visualizations. Relying on humans for analysis is increasingly difficult due to the immense amount of logs in modern telecommunication networks. This work extends the monitoring to automated anomaly detection by using various ELK modules to form an intelligent monitoring system. A testbed based on OpenAirInterface (OAI) and USRP B210 radiohead is used, which includes the functionalities of HSS, MME, SGW, PGW, eNB, and UE. The proposed system has an average accuracy of 91.5%. This is supported by an average value of the proportion of normal conditions that are correctly predicted at 99.31%. On the other hand, the system can still maintain the functionality of the cellular telecommunications network with an excellent predicate on service quality.

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“…NIC collects the CSI data on each subcarrier. Common CSI measurement tools are the Intel 5300 NIC [80], Atheros 9580 NICs [81], the Broadcom chipset [82], the ESP32 microcontroller [83] and the SDR [84]. OpenPose [86], and Alphapose [87] to extract bone trajectories or poses.…”

Section: Introduction To Csimentioning

confidence: 99%

Skeleton-Based Human Pose Recognition Using Channel State Information: A Survey

Wang

Feng

et al. 2022

Sensors

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With the increasing demand for human-computer interaction and health monitoring, human behavior recognition with device-free patterns has attracted extensive attention. The fluctuations of the Wi-Fi signal caused by human actions in a Wi-Fi coverage area can be used to precisely identify the human skeleton and pose, which effectively overcomes the problems of the traditional solution. Although many promising results have been achieved, no survey summarizes the research progress. This paper aims to comprehensively investigate and analyze the latest applications of human behavior recognition based on channel state information (CSI) and the human skeleton. First, we review the human profile perception and skeleton recognition progress based on wireless perception technologies. Second, we summarize the general framework of precise pose recognition, including signal preprocessing methods, neural network models, and performance results. Then, we classify skeleton model generation methods into three categories and emphasize the crucial difference among these typical applications. Furthermore, we discuss two aspects, such as experimental scenarios and recognition targets. Finally, we conclude the paper by summarizing the issues in typical systems and the main research directions for the future.

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Architecture and implementation of a Software-Defined Radio baseband processor

Cited by 16 publications

References 1 publication

Software defined radio architecture survey for cognitive testbeds

Software defined radio architecture survey for cognitive testbeds

Performance Evaluation of Anomaly Detection System on Portable LTE Telecommunication Networks Using OpenAirInterface and ELK

Skeleton-Based Human Pose Recognition Using Channel State Information: A Survey

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