2021/08/11 by Neji Mensi, Danda B. Rawat, Mensi, Neji +3
Engineering · #Energy Harvesting in Wireless Networks #FOS: Electrical engineering #Full-Duplex Wireless Communications #Signal Processing (eess.SP) #Wireless Communication Security Techniques #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2108.05446
openalex publication_date 2021/08/11 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
The emerging Internet of Things (IoT) and bidirectional communications in\nsmart grid are expected to improve smart grid capabilities and electricity\nmanagement. Because of massive number of IoT devices in smart grid, size of the\ndata to be transmitted increases, that demands a high data rate to meet the\nreal-time smart grid communications requirements. Sub-6 GHz, millimeter-wave\n(mmWave) technologies, and massive multiple-input multiple-output (MIMO)\ntechnologies can meet high data rate demands. However, IoT enabled smart grid\nis still subject to various security challenges such as eavesdropping, where\nattackers attempt to overhear the transmitted signals and the jamming attack,\nwhere the attacker perturbs the received signals at the receiver. In this\npaper, our goal is to investigate jamming and eavesdropping attacks while\nimproving secrecy capacity for smart grid communications. Specifically, we\npropose to employ a hybrid beamforming design for wireless communications in\nsmart energy grid. In previous works, the secrecy capacity is increased by\nrandomly augmenting the source power or setting the system combiners. Unlike\nstate-of-the-art, we design and evaluate the Gradient Ascent algorithm to\nsearch for the best combiners/waveform that maximizes the secrecy capacity in\nsmart grid communications. We also study two different optimization scenarios\nby considering both fixed and variable transmit power. Numerical results are\nused for performance evaluation and supporting our formal analysis.\n