Abstract
In this work, the performance of an eigenvalue-based cooperative spectrum sensing for multiuser multiple-input multiple-output (MIMO) cognitive radio networks is investigated under a correlated fading scenario. The secondary user (SU) is modeled as a MIMO system to detect the presence of primary user signal under incomplete channel state information (CSI) and Rayleigh faded channel model. At each SU, an energy detector is used to obtain the local decision statistic. Next, SU’s local decision is sent to the fusion center (FC) via numerous transmit antennas in order to get the transmitting diversity gain to combat the hidden node problem. Further, FC received the local decision statistic with multiple antennas under Racine faded correlated channel with perfect CSI. Finally, a global decision is made at FC based on an eigenvalue-based detection algorithm. The closed-form expression for the detection probabilities is derived at both SUs and FC. A simulation study shows that the target detection probability \(P_d\ge 0.95\) is achieved even at a very low signal to noise ratio value of \(-5\) dB.
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Kumar, A., Bhattacharya, R., Saha, S., Gupta, N. (2022). An Eigenvalue Based Cooperative Spectrum Sensing for Multiuser MIMO Cognitive Radio Networks Under Correlated Fading Scenario. In: Jin, H., Liu, C., Pathan, AS.K., Fadlullah, Z.M., Choudhury, S. (eds) Cognitive Radio Oriented Wireless Networks and Wireless Internet. CROWNCOM WiCON 2021 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 427. Springer, Cham. https://doi.org/10.1007/978-3-030-98002-3_7
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