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This paper presents a novel technique -MultiChannel Ratio (MCR) Decoding, which aims at providing an antijamming wireless communication capability for multi-antenna wireless devices. The basic idea of MCR decoding is to fully leverage the repeated preamble signals and the multi-channel characteristics in MIMO communications to detect and recover the desired transmission signals under constant and reactive jamming attacks. This paper also reports the analysis, implementation, and experimental evaluations of MCR decoding on a software-defined radio platform -GNURadio and USRP, which show that the proposed MCR decoding can detect the desired transmission reliably under the jamming attack and remove jamming signals effectively in the real world environment.

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Abstract-Link signature, which refers to the unique and reciprocal wireless channel between a pair of transceivers, has gained significant attentions recently due to its effectiveness in signal authentication and shared secret construction for various wireless applications. A fundamental assumption of this technique is that the wireless signals received at two locations separated by more than half a wavelength are essentially uncorrelated. However, it has been shown in literatures that in certain circumstances, e.g., when there is poor scattering and/or a strong line-of-sight (LOS) component, this assumption is invalid. In this paper, a Correlation ATtack (CAT) is proposed to demonstrate the potential vulnerability of the link signature based security mechanisms in such circumstances. Based on statistical inference, CAT explicitly exploits the spatial correlations to recover the legitimate link signature from the observations of multiple adversary receivers deployed in vicinity. The effectiveness of CAT is verified both through theoretical analysis and well-known channel correlation modeling. Our findings are corroborated by experiments on USRP platforms and GNURadio.

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Aerial base station (ABS) is a promising solution for public safety as it can be deployed in coexistence with cellular networks to form a temporary communication network. However, the interference from the primary cellular network may severely degrade the performance of an ABS network. With this consideration, an adaptive dynamic interference avoidance scheme is proposed in this work for ABSs coexisting with a primary network. In the proposed scheme, the mobile ABSs can reconfigure their locations to mitigate the interference from the primary network, so as to better relay the data from the designated source(s) to destination(s). To this end, the single/multi-commodity maximum flow problems are formulated and the weighted Cheeger constant is adopted as a criterion to improve the maximum flow of the ABS network. In addition, a distributed algorithm is proposed to compute the optimal ABS moving directions. Moreover, the trade-off between the maximum flow and the shortest path trajectories is investigated and an energy-efficient approach is developed as well. Simulation results show that the proposed approach is effective in improving the maximum network flow and the energy-efficient approach can save up to 39% of the energy for the ABSs with marginal degradation in the maximum network flow.