This paper presents a complete design, analysis, and performance evaluation of a novel distributed event-triggered control and estimation strategy for DC microgrids. The primary objective of this work is to efficiently stabilize the grid voltage, and to further balance the energy level of the energy storage (ES) systems. The locally-installed distributed controllers are utilised to reduce the number of transmitted packets and battery usage of the installed sensors, based on a proposed event-triggered communication scheme. Also, to reduce the network traffic, an optimal observer is employed which utilizes a modified Kalman consensus filter (KCF) to estimate the state of the DC microgrid via the distributed sensors. Furthermore, in order to effectively provide an intelligent data exchange mechanism for the proposed event-triggered controller, the publish-subscribe communication model is employed to setup a distributed control infrastructure in industrial wireless sensor networks (WSNs). The performance of the proposed control and estimation strategy is validated via the simulations of a DC microgrid composed of renewable energy sources (RESs). The results confirm the appropriateness of the implemented strategy for the optimal utilization of the advanced industrial network architectures in the smart grids.

This paper presents the design and characterisation of a flexible, inkjet-printed, low-profile, and frequency-reconfigurable antenna, intended for the fifth generation (5G) wireless networks operating at millimetre-wave (mm-wave) frequency bands. The antenna geometry is comprised of a slotted T-shaped radiating patch embedded in a rectangular aperture cut inside the ground plane. The slots are designed with two pairs of switches to reconfigure the radiating area for the desired selection of operating frequency at the . Moreover, a two-element inkjet-printed multiple-input multiple-output (MIMO) antenna assembly is proposed based on a flexible polyethylene terephthalate (PET) film. The conformal MIMO antenna is suitable for integration in high-performance flexible 5G front-ends, as well as in next-generation wearable electronic devices and applications.

This paper presents a study to design and analysis of an RF link budget analysis model with a primary focus on the real urban propagation microcell environment to analyze the mobile signal loss factors during the propagation and to calculate the transmitting signal power at the transmitter end. The link budget analysis prediction system utilizes a combined model that demonstrates appropriateness to reliable link design in order to develop a flexible RF link budget analysis prediction model for mobile communication systems cellular network link planning in urban propagation microcell environment.

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Serial Concatenation of Interleaved Codes (SCICs) is emerging as a promising technology to improve the physical layer (PHY) performance of modern wireless communication systems in terms of bit-error rate (BER), mainly due to their outstanding coding gains and feasible decoding complexities. For their channel coding performance, an inter Ie aver is a critical component since the Minimum Hamming Distance (MHD) between legitimated permutations of the encoded bit sequence is directly influenced by the interleaver design. In this treatise, the construction of permutation mapping for SCICs is considered based on quadratic congruence, and the results are compared with the system using matrix-based block interleavers where the randomization is performed by storing and looking up elements in a matrix configuration. The performance evaluations are carried out in terms of BER for Single-Input Single-Output (SISO) and Multiple Input Single-Output (MISO) wireless communication systems in a femtocell propagation environment.The results reveal that employing quadratic interleavers yield lower BERs at both waterfall and error-floor regions, compared with the block interleavers.