Abstract

Citizens Broadband Radio Service (CBRS) is a novel service band in the United States, spanning 3550 – 3700 MHz, recently opened for commercial cognitive operations. The CBRS has a three tier hierarchical architecture, wherein, the topmost tier users (also called as incumbents) include military radars. The second and third tier facilitate licensed and unlicensed access to the band, respectively. The privacy of incumbents has been a major concern and different schemes have been proposed in the literature to preserve privacy of their location and operation time. However, the privacy of operation frequency of incumbents has not been suitably addressed. The operation frequency of incumbent is vulnerable to inference attacks from the adversary. For instance, an adversary can deduce the operation frequency of incumbent if a compromised device is asked to switch to another channel. Therefore, in this paper, we propose probabilistic usage of dummy incumbents on a channel and analyse the operation frequency privacy of incumbents for snapshot and time based models in the three tier CBRS system. The optimum dummy generation probability is obtained for the snapshot and time based models, varying capabilities of the adversary, and different system parameters. Finally, we verify the proposed results through simulations.

Highlights

  • T HE mushrooming of smartphones and smart objects has augmented the volume of data flow across the globe

  • We propose that the military organization introduces dummy incumbents which transmits on any channel with some probability to preserve the operation frequency privacy of the real incumbents

  • I.e., [11], we have proposed that spectrum access system (SAS) transmits dummy incumbent signals on any channel to preserve the operation frequency privacy of incumbents

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Summary

Introduction

T HE mushrooming of smartphones and smart objects has augmented the volume of data flow across the globe. There is a dire requirement of additional spectrum to meet the ever-increasing demands for high data rates. The exploration of novel bands for wireless communications is a promising solution and researchers in industries and academia have been toiling hard for the same. Another possible strategy to combat spectrum dearth is to leverage the existing spectrum for boosting the capacity of wireless networks. The prioritized and dynamic spectrum access capabilities of cognitive radio networks (CRNs) can efficiently transform the spectrum holes into the transmission opportunities leading to the efficient utilization of the existing spectrum [1].

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