Jamming a TDD Point-to-Point Link Using Reciprocity-Based MIMO

Karlsson, Marcus; Björnson, Emil; Larsson, Erik G.

doi:10.1109/tifs.2017.2725823

Cited by 18 publications

(11 citation statements)

References 34 publications

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“…The key motivation behind their scheme is to facilitate accurate channel estimation by changing pilot locations in a pseudorandom manner, so that uncorrupted data symbols are decoded and the resulting bit error rate (BER) is much lower than that in pilot interference. Karlsson et al [9] theoretically analyzed the vulnerability of TDD-massive MIMO to pilot interference. Xu et al [10] develop a novel coding scheme to authenticate the channel training phase using an independence-checking coding (ICC)-based protocol.…”

mentioning

confidence: 99%

Analysis of Non-Pilot Interference on Link Adaptation and Latency in Cellular Networks

Rao

Marojevic

Reed

2019

2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)

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Modern wireless systems such as the Long-Term Evolution (LTE) and 5G New Radio (5G NR) use pilot-aided SINR estimates to adapt the transmission mode and the modulation and coding scheme (MCS) of data transmissions, maximizing the utility of the wireless channel capacity. However, when interference is localized exclusively on non-pilot resources, pilotaided SINR estimates become inaccurate. We show that this leads to congestion due to retransmissions, and in the worst case, outage due to very high block error rate (BLER). We demonstrate this behavior through numerical as well as experimental results with the 4G LTE downlink, which show high BLER and significant throughput detriment in the presence of non-pilot interference (NPI). To provide useful insights on the impact of NPI on lowlatency communications, we derive an approximate relation between the retransmission-induced latency and BLER. Our results show that NPI can severely compromise low-latency applications such as vehicle-to-vehicle (V2V) communications and 5G NR. We identify robust link adaptation schemes as the key to reliable communications.

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mentioning

confidence: 99%

Analysis of Non-Pilot Interference on Link Adaptation and Latency in Cellular Networks

Rao

Marojevic

Reed

2019

2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)

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“…In addition, recent studies have shown interest in optimizing the jamming performance using beamforming technique [16]- [19]. In [17], Karlsson et al presented a method for jamming a time-division duplex point-to-point link by utilizing beamforming. In [18], Liu et al designed the optimal jamming signal to achieve maximum degradation in signal-to-interference-plus-noise ratio of legitimate nodes.…”

Section: Related Workmentioning

confidence: 99%

Reinforcement Learning Based Beamforming Jammer for Unknown Wireless Networks

Kim

Lim

2020

IEEE Access

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A jamming attack refers to adversarial activities to cause an interruption of communication among legitimate nodes in a wireless network by transmitting a jamming signal. Among various jamming techniques, network jamming is an attack technique that is performed to maximize the jamming impact on the entire network within the capability of the jammer. In this paper, we consider a jamming attack to an unknown wireless network where no a priori network information is provided to the jammer except the radio frequency signal information acquired by overhearing the shared wireless channel. To increase the impact of a jamming attack on an unknown network, we propose a reinforcement learning based beamforming attack strategy. In the proposed attack, a jammer learns the beam direction and angle width to maximize the impact of jamming using the multi-armed bandit technique. As a reward for reinforcement learning, we develop a new metric that can quantitatively evaluate the impact of a jamming attack by measuring the statistical change of the channel busy times before and after each attack. Through extensive simulations, we evaluate the performance of the proposed jamming strategy in an unknown wireless network. INDEX TERMS Jamming, beamforming, unknown networks, learning, multi armed bandits.

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“…We obtain optimal precoders that maximize the mutual information for communications among SUs while limiting the interference to PUs and performing jamming on pilot subcarriers of the AUs simultaneously. We consider the practical and realistic scenario of imperfect Channel State Information at Transmitter (CSIT) due to the existence of channel estimation for the SUs and PUs, and statistical CSIT for the AUs, since obtaining an accurate channel estimate for the AUs is generally not feasible [20].…”

Section: Introductionmentioning

confidence: 99%

Rate-Splitting Multiple Access for Communications and Jamming in Multi-Antenna Multi-Carrier Cognitive Radio Systems

Dizdar¹,

Clerckx²

2021

Preprint

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With the increasing number of wireless communication systems and the demand for bandwidth, the wireless medium has become a congested and contested environment. Operating under such an environment brings several challenges, especially for military communication systems, which need to guarantee reliable communication while avoiding interfering with other friendly or neutral systems and denying the enemy systems of service. In this work, we investigate a novel application of Rate-Splitting Multiple Access (RSMA) for joint communications and jamming with a Multi-Carrier (MC) waveform in a multiantenna Cognitive Radio (CR) system. RSMA is a robust multiple access scheme for downlink multi-antenna wireless networks. RSMA relies on multi-antenna Rate-Splitting (RS) strategies at the transmitter and Successive Interference Cancellation (SIC) at the receivers. Our aim is to simultaneously communicate with Secondary Users (SUs) and jam Adversarial Users (AUs) to disrupt their communications while limiting the interference to Primary Users (PUs) in a setting where all users perform broadband communications by MC waveforms in their respective networks. We consider the practical setting of imperfect CSI at transmitter (CSIT) for the SUs and PUs, and statistical CSIT for AUs. We formulate a problem to obtain optimal precoders which maximize the mutual information under interference and jamming power constraints. We propose an Alternating Optimization-Alternating Direction Method of Multipliers (AO-ADMM) based algorithm for solving the resulting non-convex problem. We perform an analysis based on Karush-Kuhn-Tucker (KKT) conditions to determine the optimal jamming and interference power thresholds that guarantee the feasibility of problem and propose a practical algorithm to calculate the interference power threshold. By simulation results, we demonstrate that RSMA achieves a higher sum-rate performance than Space Division Multiple Access (SDMA).

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Jamming a TDD Point-to-Point Link Using Reciprocity-Based MIMO

Cited by 18 publications

References 34 publications

Analysis of Non-Pilot Interference on Link Adaptation and Latency in Cellular Networks

Analysis of Non-Pilot Interference on Link Adaptation and Latency in Cellular Networks

Reinforcement Learning Based Beamforming Jammer for Unknown Wireless Networks

Rate-Splitting Multiple Access for Communications and Jamming in Multi-Antenna Multi-Carrier Cognitive Radio Systems

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