Securing internet of medical things with friendly-jamming schemes

The Internet of Medical Things (IoMT)-enabled e-healthcare can complement traditional medical treatments in a flexible and convenient manner. However, security and privacy become the main concerns of IoMT due to the limited computational capability, memory space and energy constraint of medical sensors, leading to the in-feasibility for conventional cryptographic approaches, which are often computationally-complicated. In contrast to cryptographic approaches, friendly jamming (Fri-jam) schemes will not cause extra computing cost to medical sensors, thereby becoming potential countermeasures to ensure security of IoMT. In this paper, we present a study on using Fri-jam schemes in IoMT. We first analyze the data security in IoMT and discuss the challenges. We then propose using Fri-jam schemes to protect the confidential medical data of patients collected by medical sensors from being eavesdropped. We also discuss the integration of Fri-jam schemes with various communication technologies, including beamforming, Simultaneous Wireless Information and Power Transfer (SWIPT) and full duplexity. Moreover, we present two case studies of Fri-jam schemes in IoMT. The results of these two case studies indicate that the Fri-jam method will significantly decrease the eavesdropping risk while leading to no significant influence on legitimate transmission

Optimal and Approximation Algorithms for Joint Routing and Scheduling in Millimeter-Wave Cellular Networks

Millimeter-wave (mmWave) communication is a promising technology to cope with the exponential increase in 5G data traffic. Such networks typically require a very dense deployment of base stations. A subset of those, so-called macro base stations, feature high-bandwidth connection to the core network, while relay base stations are connected wirelessly. To reduce cost and increase flexibility, wireless backhauling is needed to connect both macro to relay as well as relay to relay base stations. The characteristics of mmWave communication mandates new paradigms for routing and scheduling. The paper investigates scheduling algorithms under different interference models. To showcase the scheduling methods, we study the maximum throughput fair scheduling problem. Yet the proposed algorithms can be easily extended to other problems. For a full-duplex network under the no interference model, we propose an efficient polynomial-time scheduling method, the {\em schedule-oriented optimization}. Further, we prove that the problem is NP-hard if we assume pairwise link interference model or half-duplex radios. Fractional weighted coloring based approximation algorithms are proposed for these NP-hard cases. Moreover, the approximation algorithm parallel data stream scheduling is proposed for the case of half-duplex network under the no interference model. It has better approximation ratio than the fractional weighted coloring based algorithms and even attains the optimal solution for the special case of uniform orthogonal backhaul networks.Comment: accepted for publish in the IEEE/ACM Transactions on Networkin

Spectral-efficient bidirectional decode-and-forward relaying for full-duplex communication

As a benefit of sophisticated interference cancellation techniques, full-duplex (FD) transceiver design may become feasible, even possibly on the aggressive time-scale of 5G wireless communication systems. Hence we further develop the recent bidirectional relaying (i.e. the two-way half-duplex relaying) aided cooperative network to its more radical counterpart, which entirely consists of FD entities for the sake of adapting to emerging FD communication scenarios. In more detail, the proposed bidirectional relaying aided FD network operates in a decode-and-forward (DF) style and exploits the advanced network coding (NC) concept. We analyse its achievable error-free data rate, where the effects of both the self-interference (SI) and of the geographic location of the relay node (RN) are evaluated. Furthermore, the potential variations of the networking scenario are also taken into account. Based on this theoretical analysis, the optimum rate allocation scheme maximizing the system’s errorfree data rate is found. Our results demonstrate that a significant spectral efficiency gain is achieved by the proposed syste