Analysis of OFDM/MC-CDMA under channel estimation and jamming

Patel, C.S.; Stuber, G.L.; Pratt, Thomas G.

doi:10.1109/wcnc.2004.1311315

Cited by 30 publications

(22 citation statements)

References 7 publications

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“…However, OFDM-based systems like LTE are less resistant to jamming and interference as compared to their counterpart spread spectrum systems. Researchers in [11] analyzed the performance of multi-carrier systems like OFDM when pilot symbols are jammed causing noisy channel estimation leading to degraded system performance. This paper deals with the intelligent jamming of LTE control channels.…”

Section: B Related Workmentioning

confidence: 99%

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Resilience of LTE networks against smart jamming attacks

Aziz

Shamma

Stuber

2014

2014 IEEE Global Communications Conference

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Section: B Related Workmentioning

confidence: 99%

“…This jamming technique can be applied to any pilot-based OFDM network, such as LTE, IEEE 802.11g, WiMAX etc. [11]. Jamming PCFICH may cause loss of Control Format Indicator (CFI) in the Downlink.…”

Section: B Some Possible Jamming Attacks On An Lte Networkmentioning

confidence: 99%

Resilience of LTE networks against smart jamming attacks

Aziz

Shamma

Stuber

2014

2014 IEEE Global Communications Conference

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“…It has been shown that jamming a subcarrier that carries pilots leads to a higher error rate than jamming one that contains only data [66,71]. This is because the adjacent subcarriers are also affected, due to the nature of channel estimation.…”

Section: Downlink Reference Signalmentioning

confidence: 99%

Antifragile Communications

Lichtman

Vondal

Clancy

et al. 2018

IEEE Systems Journal

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Jamming is an ongoing threat that plagues wireless communications in contested areas. Unfortunately, jamming complexity and sophistication will continue to increase over time. The traditional approach to addressing the jamming threat is to harden radios, such that they sacrifice communications performance for more advanced jamming protection. To provide an escape from this trend, we investigate the previously unexplored area of jammer exploitation.This dissertation develops the concept of antifragile communications, defined as the capability for a communications system to improve in performance due to a system stressor or harsh condition. Antifragility refers to systems that increase in capability, resilience, or robustness as a result of disorder (e.g., chaos, uncertainty, stress). An antifragile system is fundamentally different from one that is resilient (i.e., able to recover from failure) and robust (i.e., able to resist failure). We apply the concept of antifragility to wireless communications through several novel strategies that all involve exploiting a communications jammer. These strategies can provide an increase in throughput, efficiency, connectivity, or covertness, as a result of the jamming attack itself. Through analysis and simulation, we show that an antifragile gain is possible under a wide array of electronic warfare scenarios. Throughout this dissertation we provide guidelines for realizing these antifragile waveforms. Other major contributions of this dissertation include the development of a communications jamming taxonomy, feasibility study of reactive jamming in a SATCOM-type scenario, and a reinforcement learning-based reactive jamming mitigation strategy, for times when an antifragile approach is not practical.Most of the jammer exploitation strategies described in this dissertation fall under the category of jammer piggybacking, meaning the communications system turns the jammer into an unwitting relay. We study this jammer piggybacking approach under a variety of reactive jamming behaviors, with emphasis on the sense-and-transmit type. One piggybacking approach involves transmitting using a specialized frequency-shift keying (FSK) waveform, tailored to exploit a jammer that channelizes a block of spectrum and selectively jams active subchannels. To aid in analysis, we introduce a generalized model for reactive jamming, applicable to both repeater-based and sensing-based jamming behaviors. Despite being limited to electronic warfare scenarios, we hope that this work can pave the way for further research into antifragile communications.

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“…However, in [7], theoretical analysis of OFDM and single user MC-CDMA is presented considering the impact of CE error. In this paper, we extend this study to the uplink MC-CDMA system where MUD methods are employed at the receiver and uplink CE is carried out using pilot symbol assisted CE (PSA-CE) schemes [3,8].…”

mentioning

confidence: 99%

Error Rate Analysis of Uplink MC-CDMA Systems under Imperfect Channel Estimation

Trivedi

Gupta

2010

Wireless Pers Commun

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Theoretical error rate performance of wireless communication systems are usually determined assuming that the perfect channel state information (CSI) is available at the receiver. However, in actual practice, the channel gains at the receiver are obtained via using some channel estimation (CE) techniques. Due to inherent presence of noise, the CE is not perfect resulting in the performance degradation. In this paper, we evaluate the error rate performance of an uplink multicarrier code-division multiple-access (MC-CDMA) system, considering different modulation techniques, where CE is performed using pilot symbol assisted (PSA) minimum mean-square error (MMSE) CE technique. The symbol error rate (SER) analysis of an uplink MC-CDMA system using multiuser detection techniques, such as MMSE and zero forcing (ZF), is presented under imperfect CE. Simulated results for SER are also shown to confirm the accuracy of the analytically derived results.

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Analysis of OFDM/MC-CDMA under channel estimation and jamming

Cited by 30 publications

References 7 publications

Resilience of LTE networks against smart jamming attacks

Resilience of LTE networks against smart jamming attacks

Antifragile Communications

Error Rate Analysis of Uplink MC-CDMA Systems under Imperfect Channel Estimation

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