Mitagation against MAI in a Space Time Spreading Software Defined Radio Test Bed

2009 ◽  
Author(s):  
Shinhan Wee ◽  
Montse Ros ◽  
Peter James Vial
Keyword(s):  
Software Defined Radio ◽  
Space Time ◽  
Test Bed

scholarly journals A COTS RF/Optical Software Defined Radio for the Integrated Radio and Optical Communications Test Bed

2016 ◽  
Author(s):  
Jennifer Nappier ◽  
Daniel Zeleznikar ◽  
Adam Wroblewski ◽  
Roger Tokars ◽  
Bryan Schoenholz ◽  
...  
Keyword(s):  
Optical Communications ◽  
Software Defined Radio ◽  
Test Bed

Multiband OFDM for Cognitive Radio – A Way for Cyclostationary Detection and Interference Cancellation

2016 ◽  
Vol 6 (4) ◽  
pp. 1702
Author(s):  
Avila J ◽  
Thenmozhi K
Keyword(s):  
Cognitive Radio ◽  
Interference Cancellation ◽  
Software Defined Radio ◽  
Test Bed ◽  
Radio System ◽  
Labview Software ◽  
Free Spectrum ◽  
Wireless Environment ◽  
Cyclostationary Detection ◽  
Hardware Test

With the tremendous growth in wireless technology there has been a shortage in the spectrum utilized for certain applications while some spectrum remains idle. To overcome this problem and for the efficient utilization of the spectrum cognitive radio is the suitable solution.Multiband OFDM can be easily modeled as cognitive radio, a technology that is employed for utilizing the available spectrum in the most efficient way. Since sensing of the free spectrum for detecting the arrival of the primary users is the foremost job of cognitive, here cyclostationary based spectrum sensing is carried out. Its performance is investigated using universal software defined radio peripheral (USRP) kit which is the hardware test bed for the cognitive radio system. Results are shown using Labview software. Further to mitigate the interference between the primary and cognitive users a modified intrusion elimination (AIC) algorithm had been proposed which in turn ensures the coexistence of both the users in the same wireless environment.

scholarly journals A Low-Cost Software Defined Radio Based Cognitive Radio Test-Bed for LTE Networks

2018 ◽  
Vol 7 (3.1) ◽  
pp. 51
Author(s):  
Kolluru Suresh Babu ◽  
Srikanth Vemuru
Keyword(s):  
Cognitive Radio ◽  
Software Defined Radio ◽  
Experimental Validation ◽  
Low Cost ◽  
Spectrum Management ◽  
Test Bed ◽  
Lte Networks ◽  
Lte Advanced ◽  
Integrated Software ◽  
Secondary Link

In this work, we present a low-cost implementation of a Cognitive Radio (CR) test-bed for LTE and LTE-Advanced (LTE-A) Networks. The test-bed setup is implemented using highly integrated Software Defined Radio (SDR) platforms which are well suited for wireless communication. Each transceiver can be configured to work as a primary (resp. secondary) eNodeB or a primary (resp. secondary) user in a Heterogeneous Cognitive Radio framework. In this context, we study the problem of spectrum management in an LTE based heterogeneous network and propose simple distributed algorithms which the secondary eNodeB can employ to efficiently manage the spectral opportunities that arise in such a network. Experimental validation show significant improvement in the secondary link throughput.  

Cognitive Engine Architecture for Railway Communications

2010 ◽  
Author(s):  
Ashwin Amanna ◽  
Matthew J. Price ◽  
Soumava Bera ◽  
Manik Gadhiok ◽  
Jeffrey H. Reed
Keyword(s):  
Cognitive Radio ◽  
Software Defined Radio ◽  
Situational Awareness ◽  
Cognitive Architecture ◽  
Test Bed ◽  
Cognitive Engine ◽  
Case Representation ◽  
Optimization Routine ◽  
Reconfigurable Software ◽  
The Relationship

This paper discusses a railway specific cognitive radio that builds upon software defined radio (SDR) platforms to adapt the radio based situational awareness. Cognitive Radio incorporates artificial intelligence based algorithms with reconfigurable software-defined radios that enable automatic adjustments of the radio to improve performance and overcome obstacles the radio may confront in the field (i.e. environmental/man-made interference, occupying the same channel as a user with higher priority, etc.). This paper describes the Railway Cognitive Radio (Rail-CR) architecture and illustrates preliminary results in simulation. The proposed cognitive engine architecture consists of a case-based reasoned (CBR) and a Genetic Algorithm (GA) optimization routine. This paper discusses the overall cognitive architecture, the relationship between the CBR and the GA based on weighted objective functions, and metrics for assessing performance. Methods for case representation, quantifying similarity between cases histories, and techniques for managing case growth rate are presented as well as a proposed test bed SDR platform.

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