Short-packet covert communication in interweave cognitive radio networks
Abstract
In this work, we investigate short-packet covert communication in interweave cognitive radio networks (CRNs), where a secondary transmitter (ST) opportunistically accesses the occasionally idle spectrum under the supervision of a primary transmitter (PT). Considering that PT occupies the spectrum in a random manner, inevitable packet collisions occur when ST is transmitting while PT also starts to occupy its spectrum. To address this issue, we jointly optimize the block-length and the transmit power of ST's transmission to strike a balance between the packet collision and the decoding error subject to a covertness constraint. In particular, we first derive the packet collision probability, the covertness constraint, and the average packet error probability, characterizing the analytical expression for the average effective spectral efficiency (AESE). To further improve the system performance, an optimization problem is formulated to maximize AESE and the corresponding optimal block-length and transmit power are obtained for different kinds of channel information available at ST. Simulation results show that there is an optimal block-length to reduce the packet collision and decoding error in the interweave covert CRN.
RAS ID
52712
Document Type
Journal Article
Funding Information
Australian Research Council's Discovery Project / National Natural Science Foundation of China, grant Numbers: 62071486, 61971474, 62171464 / Beijing Nova Program (Grant Number: Z201100006820121) / Natural Science Foundation on Frontier Leading Technology Basic Research Project of Jiangsu (Grant Number: BK20212001) / Key R & D Program of Jiangsu Province Key project (Grant Number: BE2021095)
School
School of Science
Grant Number
ARC Number : DP210102169
Copyright
subscription content
Publisher
IEEE
Comments
Lu, X., Yan, S., Yang, W., Liu, C., & Ng, D. W. K. (2023). Short-Packet Covert Communication in Interweave Cognitive Radio Networks. IEEE Transactions on Vehicular Technology, 72(2), 2649-2654.
https://doi.org/10.1109/TVT.2022.3210991