A reference signal based GLRT for simultaneous sensing and reception in cognitive LTE-A systems

Karunakaran P, Gerstacker W (2016)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2016

Event location: Doha QA

ISBN: 978-1-4673-9815-2

DOI: 10.1109/WCNC.2016.7564699

Abstract

We explore the application of cognitive radio (CR) principles to 3GPP LTE-A. In such a system, a cognitive radio (CR), synchronized to the macro base station (BS), exploits the spectral holes in the orthogonal frequency division multiple access (OFDMA) time-frequency grid. Spectrum sharing between different network operators and device-to-device (D2D) communications in LTE-A are presented as potential applications. Sensing is expected to play a prominent role in such systems. We focus on simultaneous sensing and reception (SSR) that can avoid the overhead in sensing before transmission (SBT) protocols. Firstly, for a flat fading channel, we develop generalized likelihood ratio tests (GLRTs) based on the demodulation reference signals (DMRSs) of transmission mode 9 in LTE-A that do not require the knowledge of signal powers, channel statistics and noise parameters. Secondly, using a polynomial fitting, we extend the algorithm to frequency-selective fading scenarios. Simulation results are presented to compare the different algorithms which indicate that good performance can be achieved for SSR with full knowledge of the DMRSs.

Authors with CRIS profile

Prasanth Karunakaran Lehrstuhl für Digitale Übertragung Wolfgang Gerstacker Lehrstuhl für Digitale Übertragung

How to cite

APA:

Karunakaran, P., & Gerstacker, W. (2016). A reference signal based GLRT for simultaneous sensing and reception in cognitive LTE-A systems. In IEEE (Eds.), Proceedings of the 2016 IEEE Wireless Communications and Networking Conference. Doha, QA.

MLA:

Karunakaran, Prasanth, and Wolfgang Gerstacker. "A reference signal based GLRT for simultaneous sensing and reception in cognitive LTE-A systems." Proceedings of the 2016 IEEE Wireless Communications and Networking Conference, Doha Ed. IEEE, 2016.

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