Paper Info
Title
USRP RIO-Based Testbed for Real-Time Blind Digital Modulation Recognition in MIMO Systems
Abstract
Modulation recognition is one of the key elements in the cognitive radio (CR) technology. Chiefly, automatic modulation recognition (AMR) is a challenging task in such systems. It refers to blindly identifying the modulation type by a CR receiver which is highly recommended for military as well as civil applications, e.g. security, threat analysis. In this letter, a comprehensive testbed is provided. It aims at assessing the AMR performance in near real-world multiple-input multiple-output (MIMO) communication scenario, as a first step for industrial integration and commercialization. Our testbed is based on the Software-Defined Radio (SDR) technology where the radio reconfigurability feature is warranted by integrating the NI-2954R Universal Software Radio Peripheral (USRP) reconfigurable I/O (RIO) boards. The different processing modules of the designed testbed have been implemented within a scalable and flexible architecture to realize real-time recognition. It also serves as an efficient tool to bridge the gap between theory and practice. Empirical results showed that the proposed testbed yields high recognition accuracy and strong robustness.
Year
DOI
Venue
2022
10.1109/LCOMM.2022.3191787
IEEE Communications Letters
Keywords
DocType
Volume
Cognitive radio,automatic modulation recognition,machine learning,artificial neural networks,SDR,MIMO
Journal
26
Issue
ISSN
Citations 
10
1089-7798
0
PageRank 
References 
Authors
0.34
9
3
Name
Order
Citations
PageRank
Hayfa Ben Thameur100.34
Iyad Dayoub200.34
Walaa Hamouda311.03