Detecting Intelligent Jamming on Physical Broadcast Channel in 5G NR

Wang, Shaodi; Wang, Hui-Ming; Wang, Wenjie; Leung, Victor C. M.

doi:10.1109/lcomm.2023.3260194

Cited by 6 publications

(3 citation statements)

References 11 publications

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“…The authors demonstrate that the detector can distinguish jamming attacks from unintentional interference occurring in cellular networks. Moreover, in [40], the authors propose exploitation of the principal direction of Physical Broadcast Channel (PBCH) demodulation reference signal space in order to detect PBCH intelligent jamming on the user side. This approach results from the fact that PBCH is used in smart jamming, e.g.…”

Section: A Related Workmentioning

confidence: 99%

Practical Trial for Low-Energy Effective Jamming on Private Networks With 5G-NR and NB-IoT Radio Interfaces

Skokowski,

Malon,

Kryk

et al. 2024

IEEE Access

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under project no. UGB/22-863/2023/WAT on "Modern technologies of wireless communication and emitter localization in various system applications."ABSTRACT Fourth-generation (4G) mobile networks are successively replaced by fifth-generation (5G) ones, based on the new releases of the 3rd Generation Partnership Project (3GPP) standard. 5G generation is dedicated to civilian users and the conducted analytical work shows that it has numerous technological gaps that prevent its direct implementation in military communications systems. However, the recent armed world conflicts showed that closed or public mobile networks are willingly used by soldiers for both private and business communications, and to conduct defensive and offensive operations as well. From the military operation viewpoint, jamming both civil and military systems is one of the essential elements of electronic warfare. This paper focuses on the practical trial of low-energy and smart jamming on a 5G private network using narrowband signals, which facilitates the reduction of the available throughput, e.g. in the time division duplex -uplink (TDD-UL) by 99%, or by 82% in the frequency division duplex -downlink (FDD-DL). This type of jamming also allows for reaching up to 25 dB of energy gain comparing to barrage jamming. The authors moreover investigated jamming the Narrowband IoT radio interface using synchronized, selective jamming. The goal was to propose energy efficient methods that will allow the jammers to work longer and be mounted on a small unmanned aerial vehicle (UAV) that can operate near the gNB. The generation of low-power jamming signals in the gNB vicinity successfully hinders detecting the jammer by the enemy's electronic reconnaissance systems. The proposed solutions are compared with the test results for other types of jamming methods.INDEX TERMS Electronic warfare, low-energy jamming, narrowband jamming, NB-IoT, 5G private network, smart jamming.

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Section: A Related Workmentioning

confidence: 99%

Practical Trial for Low-Energy Effective Jamming on Private Networks With 5G-NR and NB-IoT Radio Interfaces

Skokowski,

Malon,

Kryk

et al. 2024

IEEE Access

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“…At UE, DMRS is detected after PSS and SSS detections which means DMRS allows estimation of the SS index which is critical for a frame, sub-frame, slot, and symbol synchronization. DMRS also allows channel estimation for MIS reception via PBCH [11,12,23].…”

Section: G Cs Phymentioning

confidence: 99%

“…After the CS, MSI acquisition provides information such as access type (barred, restricted, or unrestricted), carrier frequency and bandwidth, cell selection information (minimum receiver level), scheduling information, downlink/uplink configurations, etc. [2,[10][11][12]. The uplink synchronization, via physical random access channel (PRACH), allows the base station to locate and instruct the UE to fine-tune the uplink timings such that uplink transmissions from multiple UEs are aligned in time irrespective of their distances from base-station [10,13,14].…”

Section: Introductionmentioning

confidence: 99%

Design and Performance Analysis of Hardware Realization of 3GPP Physical Layer for 5G Cell Search

Lodhi,

Chhillar,

Darak

et al. 2023

Chips

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5G Cell Search (CS) is the first step for user equipment (UE) to initiate communication with the 5G node B (gNB) every time it is powered ON. In cellular networks, CS is accomplished via synchronization signals (SS) broadcasted by gNB. 5G 3rd generation partnership project (3GPP) specifications offer a detailed discussion on the SS generation at gNB, but a limited understanding of their blind search and detection is available. Unlike 4G, 5G SS may not be transmitted at the center of carrier frequency, and their frequency location is unknown to UE. In this work, we demonstrate the 5G CS by designing 3GPP compatible hardware realization of the physical layer (PHY) of the gNB transmitter and UE receiver. The proposed SS detection explores a novel down-sampling approach resulting in a 60% reduction in on-chip memory and 50% lower search time. Via detailed performance analysis, we analyze the functional correctness, computational complexity, and latency of the proposed approach for different word lengths, signal-to-noise ratio (SNR), and down-sampling factors. We demonstrate end-to-end 5G CS using GNU Radio-based RFNoC framework on the USRP-FPGA platform and achieve 66% faster SS search compared to software. The 3GPP compatibility and demonstration on hardware strengthen the commercial significance of the proposed work.

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Implementation and Evaluation of a Smart Uplink Jamming Attack in a Public 5G Network

Flores,

Poisson,

Stevens

et al. 2023

IEEE Access

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Detecting Intelligent Jamming on Physical Broadcast Channel in 5G NR

Cited by 6 publications

References 11 publications

Practical Trial for Low-Energy Effective Jamming on Private Networks With 5G-NR and NB-IoT Radio Interfaces

Practical Trial for Low-Energy Effective Jamming on Private Networks With 5G-NR and NB-IoT Radio Interfaces

Design and Performance Analysis of Hardware Realization of 3GPP Physical Layer for 5G Cell Search

Implementation and Evaluation of a Smart Uplink Jamming Attack in a Public 5G Network

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