Cognitive radio has emerged as one of the most promising candidate solutions to improve spectrum utilization in next generation cellular networks. A crucial requirement for future cognitive networks is wideband sensing: secondary users reliably detect spectral opportunities across a wide frequency range. In this article, various sensing algorithms are presented, together with discussion pros and cons each algorithm challenging issues. Special attention paid use sub-Nyquist techniques,...

Interference alignment (IA) is a promising technique for interference management and can be applied to spectrum sharing in cognitive radio (CR) networks. However, the sum rate may fall short of theoretical maximum, particularly at low signal-to-noise ratio (SNR), quality service (QoS) primary user (PU) not guaranteed. In addition, power allocation (PA) IA-based CR networks largely ignored, which further improve its performance. Thus, this paper, PA studied. To guarantee QoS requirement PU,...

Multi-rate asynchronous sub-Nyquist sampling (MASS) is proposed for wideband spectrum sensing. Corresponding spectral recovery conditions are derived and the probability of successful given. Compared to previous approaches, MASS offers lower rate, an attractive approach cognitive radio networks.

Wireless power transfer (WPT) technologies have been widely used in many areas, e.g., the charging of electric toothbrush, mobile phones, and vehicles. This paper introduces fundamental principles three WPT technologies, i.e., inductive coupling-based WPT, magnetic resonant electromagnetic radiation-based together with discussions their strengths weaknesses. Main research themes are then presented, improving transmission efficiency distance, designing multiple transmitters/receivers. The...

Wireless power transfer (WPT) technology makes it possible to supply through an air-gap, without the need for current-carrying wires. One important technique of WPT is magnetic resonant coupling (MRC) WPT. Based on advantages MRC WPT, such as safety and high efficiency over a long transmit distance, there are many applications This study provides comprehensive, state-of-the-art review wireless charging electric vehicle (EV). A comparative overview system design which includes detailed...

Demand side management (DSM) plays an important role in smart grid for paving the way to a low-carbon future. In this paper, hierarchical day-ahead DSM model is proposed, where renewable energy sources are integrated. The proposed consists of three layers: utility upper layer, demand response (DR) aggregator middle and customers lower layer. seeks minimize operation cost give part revenue DR as bonus. acts intermediary, receiving bonus from giving compensation modifying their usage pattern....

Electric vehicles (EVs) are being introduced by different manufacturers, thanks to their environment-friendly perspective alleviate CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> pollution. In this paper, the proposed EV charging management scheme enables pre-empted service for heterogeneous EVs (depends on capabilities, brands, etc.). Particularly, anticipated EVs' reservations information, including arrival time and expected at...

Energy detection (ED) has been widely used for detecting unknown deterministic signals in many wireless communication applications, e.g., cognitive radio, and ultra-wideband (UWB). However, the performance analysis of ED over slow fading channels is cumbersome, because it difficult to derive closed-form expressions average probability involving generalised Marcum Q-function log-normal distribution. In this letter, we an approximation a channel by replacing distribution with Wald addition,...

The main goal of this paper is to design a market operator (MO) and distribution network (DNO) for microgrids in consideration multiple objectives. This high-level only those with nondispatchable renewable energy sources are considered. For power grid the network, net value derived from providing must be maximized. microgrid, it desirable maximize gain consuming received power. Finally, an independent system operator, stored levels at maintained as close possible storage capacity secure...

This paper focuses on the problem of energy imbalance management in amicrogrid. The is investigated from power market perspective. Unlike traditional grid, a microgrid can obtain extra froma renewable source (RES) such as solar panel or wind turbine. However, stochastic input RES brings difficulty balancing supply and demand. In this study, novel pricing scheme proposed that provides robustness against intermittent input. considers possible uncertainty marginal benefit cost market. It uses...

Wireless power transfer (WPT) could revolutionize global transportation and accelerate growth in the electric vehicle (EV) market, offering an attractive alternative to cabled charging. Coil misalignment is inevitable due driver parking behavior has a detrimental effect on efficiency (PTE). This paper proposes novel coil design adaptive hardware improve PTE magnetic resonant coupling WPT mitigate misalignment, crucial roadblock acceptance of for EVs. The new was verified using ADS, providing...

Interference alignment (IA) is a promising technique that can effectively eliminate the interference in wireless networks. However, traditional IA schemes, signal to plus noise ratio (SINR) may significantly degrade, and quality of service (QoS) be unacceptable. In this paper, novel scheme based on antenna switching (AS-IA) proposed improve SINR received while guaranteeing QoS scheme, some antennas are replaced by reconfigurable ones switch among preset modes, best channel coefficients...

An intelligent transportation system (ITS) is one of the main systems which have been developed to achieve safe traffic and efficient transportation. It enables vehicles establish connections with other road entities infrastructure units using vehicle-to-everything (V2X) communications. As a consequence, all become exposed either internal or external attacks. Internal attacks cannot be detected by traditional security schemes. In this article, recommendation-based trust model for V2X...

Interference alignment (IA) is a promising technique for interference management in wireless networks. However, the sum rate may fall short of theoretical maximum, particularly at low signal-to-noise ratio (SNR) levels since IA mainly concentrates on mitigating interference, instead improving quality desired signal. Moreover, most previous works focused spectrum efficiency, but energy efficiency (EE) aspect largely ignored. In this paper, an adaptive energy-efficient algorithm proposed...

In cognitive radio (CR) systems, it is crucial for secondary users to reliably detect spectral opportunities across a wide frequency range. This paper studies novel multirate sub-Nyquist spectrum sensing (MS <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> ) system capable of performing wideband in cooperative CR network over fading channels. The aliasing effects sampling are modeled. To mitigate such effects, different rates applied that...

Recently, the theory of effective rate has attracted much attention, since it can take delay aspect into account when performing channel capacity analysis. Weibull fading model is a flexible and practical for describing channels in both indoor outdoor environments. This letter derives exact analytical expressions over independent but not necessarily identical channels, which be used system analysis real-time communication scenarios. In addition, closed-form asymptotic under high...

Demand response is one of the most promising tools for smart grids to integrate more renewable energy sources. One critical challenge overcome how establish pricing and control strategies integrating electric vehicles (EVs) This paper proposes a dynamic optimal operation solar-powered EV charging station where onsite solar generation, number EVs in system, historical price, technical specifications driving behaviour vary. A bi-level optimisation approach proposed, tariffs ensure an economic...

This letter presents an adaptive spectrum sensing algorithm that detects wideband using sub-Nyquist sampling rates. By taking advantage of compressed (CS), the proposed reconstructs from samples. Furthermore, l2 norm validation approach is enables cognitive radios (CRs) to automatically terminate signal acquisition once current spectral recovery satisfactory, leading enhanced CR throughput. Numerical results show can not only shorten interval, but also improve throughput CRs.

Cognitive radio (CR) is proposed to automatically detect and exploit unused spectrum while avoiding harmful interference the incumbent system. In this paper, we emphasize channel capacity comparison of a CR network using two types multicarrier communications: conventional Orthogonal Frequency Division Multiplexing (OFDM) with Cyclic Prefix (CP) Filter Bank based MultiCarrier (FBMC) modulations. We use resource allocation algorithm in which subcarrier assignment power are carried out...

Smart grids require communication networks to convey sensing and control data for improving the efficiency of energy generation, transmission, delivery. As a result, smart girds become vulnerable various types cyber-attacks. Trust models were recognized as one important methods defending large network against malicious In this paper, fuzzy logic trust model is proposed detect untrusted nodes in grid networks, compared with an existing show its advantages. Using model, both routing detection...