Anti-jamming property of clustered OFDM for dispersive channels

Zhang, Hua; Li, Ye

doi:10.1109/milcom.2003.1290125

Cited by 18 publications

(7 citation statements)

References 19 publications

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“…The jamming signal is modeled as a Gaussian random process with zero mean. Similar jamming signal model is commonly considered in the literature (e.g., ).…”

Section: Proposed Schemes and Their Analysismentioning

confidence: 99%

Mitigating jamming attacks in mobile cognitive networks through time hopping

Adem

Hamdaoui

Yavuz

2016

Wirel. Commun. Mob. Comput.

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5G wireless networks will support massive connectivity mainly due to device-to-device communications. An enabling technology for device-to-device links is the dynamical spectrum access. The devices, which are equipped with cognitive radios, are to be allowed to reuse spectrum occupied by cellular links. The dynamical spectrum availability makes cognitive users switch between channels. Switching leads to energy consumption, latency, and communication overhead in general. The performance degrades even more when the network is under jamming attack. This type of attack is one of the most detrimental attacks. Addressing jamming while maintaining a desired quality of service is a challenge. While existing anti-jamming mechanisms assume stationary users, in this paper, we propose and evaluate countermeasures for mobile cognitive users. We propose two time-based techniques, which, unlike other existing frequency-based techniques, do not assume accessibility to multiple channels and hence do not rely on switching to countermeasure jamming. We achieve analytical solutions of jamming, switching, and error probabilities. Based on our findings, the proposed techniques out perform other existing frequency-based techniques.

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“…The jamming signal is modeled as a Gaussian random process with zero mean. Similar jamming signal model is commonly considered in the literature (e.g., ).…”

Section: Proposed Schemes and Their Analysismentioning

confidence: 99%

Mitigating jamming attacks in mobile cognitive networks through time hopping

Adem

Hamdaoui

Yavuz

2016

Wirel. Commun. Mob. Comput.

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“…Interference type Mitigation technique [28,44] High-power interferer Signal sub-space processing [46] Partial band, broadband jamming Link adaptation [48,49] Spatial multiplexing and inter-cell interference MIMO signal detection [50] Impulsive noise Maximum likelihood signal detection [51] Multi-carrier interference Error control coding [52] Partial band, broadband jamming Clustered OFDM + spread spectrum [53] Partial band, multi-tone jamming Frequency hopping + spread spectrum [54] Narrowband jamming Two-dimensional spreading (time and frequency) [55] Narrowband, partial band jamming…”

Section: Sourcementioning

confidence: 99%

“…Total SJR and E b /N 0 ranges are divided into multiple consecutive bins where each bin corresponds to a possible signal/jammer state. For each jamming bin, different transmission scenarios as listed in Table IV are evaluated for throughput, BER, and power consumption using Equations (46), (48), and (52). Among all evaluated scenarios, a potential transmission scheme that achieves target BER of 10 À5 and maximizes the weighted difference of throughput and power consumption is chosen as the optimal one.…”

Section: Solving the Optimization Problemmentioning

confidence: 99%

Novel schemes for interference‐resilient OFDM wireless communication

Imran

Loan

Mahmood

2015

Int J Communication

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This research work introduces some novel techniques for interference-resilient OFDM wireless communication. Firstly, novel schemes for spatial multiplexing and interference cancelation based on signal subspace estimation are proposed. Secondly, the OFDM system is designed such that it meets three main objectives simultaneously, namely, (i) interference-resiliency, (ii) throughput maximization, and (iii) energy consumption minimization. Interference-cancelation techniques in prior art mostly consider maximization of throughput without any focus on energy consumption. On the other hand, the literature in energy minimization is limited to interference-free environments. Most of the previous techniques also have a drawback that they cannot operate in smart or dynamically changing interference environments. The focus here is on interference-resilient communication with equal attention to both throughput and energy-efficiency maximization in dynamic hostile environments. The optimization problem is formulated, and then optimal policies and switching thresholds are found for throughput and energy-efficient interference-resilient communication. Methodologies for estimating the channel and jammer conditions and then adapting the transmission strategies accordingly are proposed. Moreover, to have an effective defense against smart jamming scenario, a constant-payoff scheme is also introduced. Simulation results are compared with previous techniques that demonstrate the efficacy of proposed research.

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“…Orthogonal Frequency Division Multiplexing (OFDM) and Software Defined Radio were proposed for efficient spectrum management in cognitive radio networks [1]. Researchers have studied the combination of spread spectrum and OFDM to improve not only the efficiency and flexibility in spectrum usage [6] but also the resistance against the jamming attacks [2], [9], [20], [21].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Jamming-Resistant Broadcast Systems with Partial Channel Sharing

Dong

Liu

2010

2010 IEEE 30th International Conference on Distributed Computing Systems

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Abstract-Wireless communication is particularly vulnerable to signal jamming attacks. Spread spectrum mitigates such problem by spreading normal narrowband signals over a much wider band of frequencies and forcing jammers who do not know such spread pattern to invest much more effort to launch attacks. However, in broadcast systems, jammers can easily find out the spread pattern by compromising some receivers. Several groupbased approaches have been proposed to deal with insider jammers who can compromise receivers in broadcast systems; they can tolerate t malicious receivers as long as the system can afford 2t additional copies for each broadcast message. This paper introduces a novel jamming-resistant broadcast system that organizes receivers into multiple channel-sharing broadcast groups and isolates malicious receivers using adaptive re-grouping. By letting receivers in different groups partially share their channels, this scheme reduces the extra communication cost from 2t to (2 − ρ)t copies, where ρ is the channel sharing factor (0<ρ<1); this is much closer to optimal given the previously proven lower bound of t additional copies. In addition, a sequential test based scheme is also proposed to further improve the performance so that ρ can be set larger to save more communication cost without reducing security. The analytic and simulation results show that the proposed approaches greatly push limit of jamming-resistant broadcast towards optimal.

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Anti-jamming property of clustered OFDM for dispersive channels

Cited by 18 publications

References 19 publications

Mitigating jamming attacks in mobile cognitive networks through time hopping

Mitigating jamming attacks in mobile cognitive networks through time hopping

Novel schemes for interference‐resilient OFDM wireless communication

Adaptive Jamming-Resistant Broadcast Systems with Partial Channel Sharing

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