Signal Processing and Communications Research Center
Signal Processing and Communications Research Center (SPCRC) is actively involved in theoretical and applied research in the broad areas of Wireless Communication, Signal Processing / Statistical signal processing, Coding for Information-Flow Networks, Wireless networks (Sensor, adhoc and cellular), Cognitive radio, Robust optimization, Optical communication networks / systems - transmission and access control, Broadband communication networks–transport, RF integrated circuits, antennas, and integrated photonics.
Spectrum Awareness and Interference Managements for 5G using Cognitive Radios
Spectrum Sensing, Heterogeneous Networks, Data And Decision Fusion
Cognitive radios, which are aware of their radio environment, are going to be one of the key enablers for 5G. Based on the awareness of spectrum or radio environment, cognitive radio can not only improve the spectrum reuse through dynamic spectrum access but also minimize interference between different radios. The main aim of this project is the research and development of cognitive radio applications that will enable the 5th generation of wireless technology. The main objectives of this work are creating spectrum awareness and managing interference in 5G. The scope of is mostly on PHY and Medium Access Control MAC layers of the protocol stack.
Type of Work
Current State of work
Algorithms implemented in Matlab
1. In 5G standards: Enabling cognitive radio features in 5G
1. Autocorrelation-Based Spectrum Sensing of FBMC Signal, COMSNETS 2018
2. Cooperative Energy Detection with Heterogeneous Sensors under Noise Uncertainty: SNR Wall and use of Evidence Theory, IEEE Trans. on Cognitive Commun. and Netw. 2018
3. Evidence Theory based Cooperative Energy Detection under Noise Uncertainty, IEEE Globecom 2017