Research Article
Robust Power Allocation for Cognitive Radio System in Underlay Mode
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@INPROCEEDINGS{10.1007/978-3-030-14657-3_44, author={Rongfei Fan and Qi Gu and Xuming An and Yu Zhang}, title={Robust Power Allocation for Cognitive Radio System in Underlay Mode}, proceedings={IoT as a Service. 4th EAI International Conference, IoTaaS 2018, Xi’an, China, November 17--18, 2018, Proceedings}, proceedings_a={IOTAAS}, year={2019}, month={3}, keywords={Cognitive radio Underlay Robust power allocation}, doi={10.1007/978-3-030-14657-3_44} }- Rongfei Fan
Qi Gu
Xuming An
Yu Zhang
Year: 2019
Robust Power Allocation for Cognitive Radio System in Underlay Mode
IOTAAS
Springer
DOI: 10.1007/978-3-030-14657-3_44
Abstract
In this paper, the power allocation problem in cognitive underlay system is studied given a number of samples of interference channel’s gain. System throughput of secondary users is aimed to be maximized while limiting the worst-case interference outage probability. With only a number of samples of interference channel’s gain, we define an uncertain region of possible probability density function (PDF) of interference channel’s gain and further derive the closed-form expression for the interference outage probability constraint. By replacing the formulated constraint on interference outage probability with closed-form one, we show the originally formulated problem is a convex optimization problem.
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