# Secure Beamforming Design in Relay-Assisted Internet of Things

**Authors:** Pingmu Huang, Yunqin Hao, Tiejun Lv, Jintao Xing, Jie Yang, and P., Takis Mathiopoulos

arXiv: 1905.06383 · 2019-05-17

## TL;DR

This paper proposes a novel secure beamforming scheme for relay-assisted IoT systems under worst-case eavesdropper scenarios, optimizing secrecy rates with advanced convex optimization techniques.

## Contribution

It introduces a cooperative NOMA secure transmission scheme with optimized beamforming and power control for IoT, considering both passive and active eavesdroppers.

## Key findings

- Artificial noise-aided beamforming improves security against passive eavesdroppers.
- Orthogonal-projection-based beamforming enhances security with active multi-antenna eavesdroppers.
- Power control scheme effective for single antenna transmission scenarios.

## Abstract

A secure downlink transmission system which is exposed to multiple eavesdroppers and is appropriate for Internet of Things (IoT) applications is considered. A worst case scenario is assumed, in the sense that, in order to enhance their interception ability all eavesdroppers are located close to each other, near the controller and collude to form joint receive beamforming. For such a system, a novel cooperative non-orthogonal multiple access (NOMA) secure transmission scheme for which an IoT device with a stronger channel condition acts as an energy harvesting relay in order to assist a second IoT device operating under weaker channel conditions, is proposed and its performance is analyzed and evaluated. A secrecy sum rate (SSR) maximization problem is formulated and solved under three constraints: i) Transmit power; ii) Successive interference cancellation; iii) Quality of Service. By considering both passive and active eavesdroppers scenarios, two optimization schemes are proposed to improve the overall system SSR. On the one hand, for the passive eavesdropper scenario, an artificial noise-aided secure beamforming scheme is proposed. Since this optimization problem is nonconvex, instead of using traditional but highly complex, bruteforce two-dimensional search, it is conveniently transformed into a convex one by using an epigraph reformulation. On the other hand, for the active multi-antennas eavesdroppers' scenario, the orthogonal-projection-based beamforming scheme is considered, and by employing the successive convex approximation method, a suboptimal solution is proposed. Furthermore, since for single antenna transmission the orthogonal-projection-based scheme may not be applicable a simple power control scheme is proposed.

## Full text

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## Figures

32 figures with captions in the complete paper: https://tomesphere.com/paper/1905.06383/full.md

## References

37 references — full list in the complete paper: https://tomesphere.com/paper/1905.06383/full.md

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Source: https://tomesphere.com/paper/1905.06383