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Interference-Constrained Power Adaptive Decode-and-Forward Relaying Policy: Design and Performance Analysis

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dc.contributor.author Bitragunta, Sainath
dc.date.accessioned 2023-03-09T09:53:04Z
dc.date.available 2023-03-09T09:53:04Z
dc.date.issued 2020
dc.identifier.uri https://ieeexplore.ieee.org/document/9342802
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9606
dc.description.abstract Power adaptation is a feasible and promising solution to avoid interference at the primary, caused by transmissions of secondary underlay cooperative spectrum sharing systems. For it, we propose a novel interference-constrained power adaptive decode-and-forward (IC-PADnF) relaying policy jointly with a simple probabilistic relay selection (PRS) policy. The proposed IC-PADnF relaying policy, apart from acting as a regenerative relay, adaptively sets its transmit power and gain to optimize the underlay cooperative spectrum sharing system's performance. Further, the relay selection policy is easy to implement due to less channel state information (CSI) requirements. To evaluate the proposed IC-PADnF policy's performance, we derive analytical expressions for optimal fading averaged spectral efficiency and optimal fading averaged energy efficiency. We also obtain upperbound to these essential performance measures. We perform Monte-Carlo simulations to validate the derived analytical results. Furthermore, we compared the proposed policy with benchmark policies to explicitly show the performance improvements and its applicability for cooperative spectrum sharing systems and networks. Lastly, we find that IC-PADnF relaying policy jointly with PRS policy outperforms the benchmark policies. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject EEE en_US
dc.subject Spectrum sharing en_US
dc.subject Underlay mode en_US
dc.subject Interference constraints en_US
dc.subject Performance analysis en_US
dc.subject Relay selection en_US
dc.title Interference-Constrained Power Adaptive Decode-and-Forward Relaying Policy: Design and Performance Analysis en_US
dc.type Article en_US


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