Blind standard identification with bandwidth shape and GI recognition using USRP platforms and SDR4all tools

Wang, H.; Jouini, Wassim; Nafkha, Amor; Palicot, Jacques; Cardoso, Leonardo S.; Debbah, Mérouane

doi:10.4108/icst.crowncom2010.9181

Cited by 6 publications

(3 citation statements)

References 6 publications

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“…Operated on general-purpose processor, GNU Radio realizes the baseband signal process, including modulation, demodulation and operations relative to waveform of signal [6][7]. In GNU Radio, an object-oriented high level programming language, Python, can be used to program the signal processing flow chart, which is composed of several signal processing modules with specific functions.…”

Section: Gnu Radiomentioning

confidence: 99%

The Synchronization Design and Implementation of LTE-Advanced Real-Time Test Platform Based on Software Defined Radio

Jia

Chen²,

He³

et al. 2016

IJSH

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Keywords: LTE-Advanced, Test platform, Software defined radio, SynchronizationWith the rapid growth of mobile communication terminals, mobile data traffic also shows a steeply increasing trend. Cisco forecast, up to 2018, the number of global mobile terminals will be 1.4 times of the world's population; Global mobile data traffic will be 11 times in 2013, and the compound annual growth rate is 61% [1]. In addition to the rapid growth of terminals and data traffic, there will be a dramatic expansion in the scenarios, application field, and business types of mobile communication. In the future, mobile communication will have characteristics like large capacity, high speed, density and mobility as well as low delay. To achieve the mobile communication with above characteristics, mobile communication technology should make further improvements basing on the fourth generation mobile communication (4G), so that it can meet the demand of the fifth generation mobile communication (5G).To meet the need of future mobile communications, it is a dominant approach to adopt advanced wireless technology and new networks architecture. Modeling analysis, simulation and the test of platform are main ways to design, test and verify the advanced mobile communication technologies. In terms of simulation, the Tsinghua University, Beijing University of Posts and Telecommunications, and Southeast University respectively constructed a system-level simulation platform for the LTE via using C++ and MATLAB [2][3]. The Vienna University of Technology constructed the link-level and system-level simulation platform conforming to LTE-Advanced specification [4][5]. The construction of the simulation platform provides an approach for the research on LTE and LTE-Advanced technologies.However, adopting merely simulation cannot meet the needs of designing and testing for future mobile communication technologies. Compared with simulation, the test platform with a combination of hardware and software has advantages of real channel environment and interference, rapid operating speed and high real-time. Therefore, it is necessary to develop a real-time test platform combining hardware and software so as to meet the needs of future mobile communication technologies.

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Section: Gnu Radiomentioning

confidence: 99%

The Synchronization Design and Implementation of LTE-Advanced Real-Time Test Platform Based on Software Defined Radio

Jia

Chen²,

He³

et al. 2016

IJSH

View full text Add to dashboard Cite

show abstract

“…We first review the reported signal classification schemes for spectrum sensing in literatures. In [2], the authors focus on the classification based on signal's power spectrum density (PSD) shape. The cyclic In [6], a classifier for LTE and WiMax is proposed based on detailed analysis of the cyclostationary features from both CP and pilot sub-carriers.…”

Section: Introductionmentioning

confidence: 99%

A Robust Signal Classification Scheme for Cognitive Radio

Cao,

Peissig

2012

Preprint

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This paper presents a robust signal classification scheme for achieving comprehensive spectrum sensing of multiple coexisting wireless systems. It is built upon a group of feature-based signal detection algorithms enhanced by the proposed dimension cancelation (DIC) method for mitigating the noise uncertainty problem. The classification scheme is implemented on our testbed consisting real-world wireless devices. The simulation and experimental performances agree with each other well and shows the effectiveness and robustness of the proposed scheme.

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“…SDR originally means to implement physical layer functions by programmable software instead of dedicated hardware in the radio communication system [10], [11]. Now its application has been extended to realize full wireless protocol stack for wireless systems [12], [13].…”

mentioning

confidence: 99%

A Real-Time Software Defined Radio Platform for LTE-Advanced Heterogeneous Networks

Jia¹,

Feng²,

Ye³

et al. 2016

jcm

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This paper presents the design and implementation of a LTE-Advanced system platform based on software defined radio. The platform has flexible implementation; commom construction; strong ability of modular, expansibility and portability; easy to improve and extend; suitable for testing and verifying evolving LTE-Advanced system. With the platform, we conduct real-time experiments for investigating LTE-Advanced Heterogeneous Networks and the interference management schemes in real wireless environments. The results of real-time experiments truly reflected the influence of channel environment and interference to heterogeneous networks. In the situation without interference management, the Bit Error Rate of user equipments in heterogeneous networks is as high as 30-40% due to the interference. Therefore, user equipments cannot communicate properly. When the interference management scheme is used, user BER drops significantly. At the same time, the throughput of users decreases slightly from that without interference management. The throughput of the users decline slightly and the BER decreases obviously, in return. Index Terms-Software defined radio, platform, LTE-Advanced, heterogeneous networks, interference managements I. INTRODUCTION Fueled by the popularity of smart phones, mobile data traffic has been increasing explosively [1]. To meet rapidly growing demands for high data rate wireless services, a set of radio access technologies have been proposed and developed by the 3rd Generation Partnership Project (3GPP), called Long-Term Evolution (LTE) [2]. Standards development for LTE continues toward establishing an enhancement called LTE-Advanced that can respond to future challenges [3]. In LTE-Advanced, Heterogeneous Networks (HetNet) are one of features as efficient deployments of future mobile networks in which multiple low power low-cost Base Stations (BSs), also called Low Power Nodes (LPNs), are deployed in the presence of an overlaid macro cell [4].

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Blind standard identification with bandwidth shape and GI recognition using USRP platforms and SDR4all tools

Cited by 6 publications

References 6 publications

The Synchronization Design and Implementation of LTE-Advanced Real-Time Test Platform Based on Software Defined Radio

The Synchronization Design and Implementation of LTE-Advanced Real-Time Test Platform Based on Software Defined Radio

A Robust Signal Classification Scheme for Cognitive Radio

A Real-Time Software Defined Radio Platform for LTE-Advanced Heterogeneous Networks

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