In this paper, we develop an energy harvesting covert cognitive radio (EHCCR) network, where multiple power beacons (PBs) provide energy for secondary users with limited energy and transmit artificial noise (AN) to against multi-antenna eavesdropping of eavesdropper (Eve). Unlike conventional research that focuses on ensuring information content security, we consciously protect communication behavior, which also takes secure communication to a new level. Initially, we analyze the detection scheme of Eve from the perspective of legitimate users, and derive Eve's minimum detection error probability (DEP) and the range of optimal detection threshold. Subsequently, we analyze the covert performance of the proposed network, including covert rate as well as covert transmission outage probability (CTOP). Finally, we evaluate the performance of the EHCCR network by exploiting numeral simulations. Through our analysis, we conclude that higher uncertainty level of background noise, and AN does have a positive impact on the interference experienced by Eve, but this can be alleviated by increasing the number of antennas. Interestingly, secondary users are able to achieve a positive covert rate in the presence of Eve's multi-antenna eavesdropping when jamming is large enough.


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    Title :

    Cognitive Covert Transmission Aided by Energy Harvesting


    Contributors:
    Xie, Rong (author) / Chen, Rui (author) / Hu, Kecong (author)


    Publication date :

    2024-06-24


    Size :

    212545 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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