Secure Retrospective Interference Alignment

Seif, Mohamed; Tandon, Ravi; Li, Ming

doi:10.3390/e21111092

Cited by 7 publications

(5 citation statements)

References 32 publications

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“…For the benchmark, we also present simulation results from MSE-based beamforming design, and analytical results from analysis of the AIN scheme [22], the pure IA scheme [7], and the time division multiple access (TDMA) scheme (in a KIC0R setting). The simulator has been built in Matlab, 8 and includes a fully-connected homogeneous K-user interference channel, where data transmissions experience Rayleigh fading 9 and a distancedependent path-loss, with a path-loss exponent of 2. In the legend of following figures, the suffix u denotes the upper bound on the maximum achievable DoF in the KICJR, which have been derived from analysis of (30)-(33).…”

Section: The Dof Performancementioning

confidence: 99%

“…4 DoF performance of a 3ICJR network 8 The codes are available online in the supporting repository of the paper: www.github.com/AminAzari/DoF-Simulator. 9 By the homogeneous model, we mean that the communications parameters like transmit power are the same across nodes, and hence, are canceled out in DoF performance analysis in high SNR regime. match quite well the DoF upper bounds, while the DoF performance of the AIN scheme is worse than the maximum achievable DoF in this network.…”

Section: The Dof Performancementioning

confidence: 99%

“…Kþ1 degrees of freedom are achievable in the K-user interference channel. Further analyses on the DoF performance of KIC with limited and delayed CSI have been presented in [8][9][10][11]. In lower SNR regimes, when the power of noise is not negligible, the achieved sum rate of an IA-based network could be much less than the theoretical maximum [12].…”

Section: Introductionmentioning

confidence: 99%

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On the DoF and secure DoF of K-user MIMO interference channel with instantaneous relays

Azari

2018

Wireless Netw

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Interference channel, in which multiple user pairs communicate over shared resources, is a building block of communications networks. Here, the K-user interference channel (IC) aided by J instantaneous relays (IRs), i.e. relays without delay, is considered. For KICJR networks, where K [ 2 and J [ 1, the DoF performance and achievable schemes have not been investigated in literature. Here, we devise a novel achievable scheme, called restricted interference alignment (RIA), which restricts the received interference from each source at each destination in a limited sub-space, and then, aligns the restricted interferences. Furthermore, we develop an analytical tool for finding a tight upper bound on DoF of KICJR networks by analyzing the properness of the interference alignment equations. Moreover, we develop linear beamforming design for sources and relays based on the mean square error (MSE) minimization, as an achievable scheme. The performance evaluation results show that the achievable sum DoF by using the proposed RIA scheme and the MSE-based beamforming design match well with the derived upper bounds. Furthermore, the results confirm that the achieved sum DoF using the RIA scheme outperforms the existing achievable schemes. Motivated by these promising results, we further investigate impact of IRs in providing physical layer security, i.e. achieving secure DoF in interference networks. Specifically, we derive a lower bound on the achievable secure DoF by devising an achievable scheme, called transmission in the null space (TNS). This scheme makes the cross channels rank deficient and enables sources to select their transmit filters in the constructed null spaces. Performance evaluation shows that by leveraging IRs, the secure DoF performance of interference networks could be increased significantly. The proposed analytical framework in this work for rank deficiency-powered DoF analysis is expected to also attract attention from other research areas, e.g. beamforming design for millimeter wave communications.

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Section: The Dof Performancementioning

confidence: 99%

Section: The Dof Performancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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On the DoF and secure DoF of K-user MIMO interference channel with instantaneous relays

Azari

2018

Wireless Netw

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“…While FL allows participants to keep their raw data local, recent works highlight and address the privacy and robustness concerns in FL. To prevent potential privacy leakage from local parameter updates [14], local differential privacy (LDP) [3] has been adopted as a strong privacy guarantee in FL [9,17,18,21] by locally adding perturbation to the updates. Local differential privacy is a state-ofart paradigm facilitating secure analysis over sensitive data because of its strong assumption on adversary's background knowledge and smart setting of the privacy budget.…”

mentioning

confidence: 99%

“…Specifically, we will show that a higher level of LDP (lower 𝜖) may not always lead to a higher level of adversarial robustness. Given the increasing attention of LDP-based FL [9,17,18,21], clarifying the interplay between LDP and adversarial robustness in FL is significant since this is the first step towards a principled design of private and robust FL systems.…”

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confidence: 99%

Understanding the Interplay between Privacy and Robustness in Federated Learning

Han,

Cao,

Yoshikawa

2021

Preprint

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Federated Learning (FL) is emerging as a promising paradigm of privacy-preserving machine learning, which trains an algorithm across multiple clients without exchanging their data samples. Recent works highlighted several privacy and robustness weaknesses in FL and addressed these concerns using local differential privacy (LDP) and some well-studied methods used in conventional ML, separately. However, it is still not clear how LDP affects adversarial robustness in FL. To fill this gap, this work attempts to develop a comprehensive understanding of the effects of LDP on adversarial robustness in FL. Clarifying the interplay is significant since this is the first step towards a principled design of private and robust FL systems. We certify that local differential privacy has both positive and negative effects on adversarial robustness using theoretical analysis and empirical verification. CCS CONCEPTS• Networks → Network privacy and anonymity.

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A Novel Tri-Staged RIA Scheme for Cooperative Cell Edge Users in a Multi-Cellular MIMO IMAC

Selvaprabhu

2022

IEEE Access

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In the real world of wireless communication systems, one solution to the practical limitation of interference alignment in terms of global channel state information at the transmitter (CSIT) requirement is to consider a linear precoding approach that only uses delayed CSIT known as retrospective interference alignment (RIA). Therefore, in the proposed work, a novel RIA scheme for the cooperative cell edge (CE) users that are more vulnerable to inter-cell interference in a multi-cellular multiple-input multiple-output (MIMO) interference multiple access channels (IMAC) is presented. The core idea of the proposed RIA is characterized by interference refining at the end of the first two stages and interference redirecting at the third stage. The initial stage 1 involves feeding the base station (BS) in cell-1 with the data streams from the cooperative CE users. During stage 2, the BS in cell-2 is fed with data streams from the cooperative CE users in cell-2. In the final stage 3, the overheard equation redirecting is performed. Based on the proposed method, we showed that for a three CE user cooperative multi-cellular MIMO IMAC channel, the achievable degrees of freedom (DoF) is 24 7 and later extended to a general L CE user cooperative multi-cellular MIMO IMAC channel and obtained the desired DoF as 2L(L+1) 2L+1 . The simulation result shows that in comparison with the other benchmark schemes considered, the proposed scheme provides a greater DoF and thereby enhances the performance of cooperative CE users.

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Secure Retrospective Interference Alignment

Cited by 7 publications

References 32 publications

On the DoF and secure DoF of K-user MIMO interference channel with instantaneous relays

On the DoF and secure DoF of K-user MIMO interference channel with instantaneous relays

Understanding the Interplay between Privacy and Robustness in Federated Learning

A Novel Tri-Staged RIA Scheme for Cooperative Cell Edge Users in a Multi-Cellular MIMO IMAC

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