Thank you very much for downloading table of integrals series and products. Maybe you have knowledge that, people have look hundreds times for their chosen books like this table of integrals series and products, but end up in harmful downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they cope with some harmful virus inside their laptop. table of integrals series and products is available in our book collection an online access to it is set as public so you can get it instantly. Our book servers saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the table of integrals series and products is universally compatible with any devices to read.

Table Of Integrals Series And Products

Tables of integrals

Driven by the rapid escalation of the wireless capacity requirements imposed by advanced multimedia applications (e.g., ultrahigh-definition video, virtual reality, etc.), as well as the dramatically increasing demand for user access required for the Internet of Things (IoT), the fifth-generation (5G) networks face challenges in terms of supporting large-scale heterogeneous data traffic. Nonorthogonal multiple access (NOMA), which has been recently proposed for the third-generation partnership projects long-term evolution advanced (3GPP-LTE-A), constitutes a promising technology of addressing the aforementioned challenges in 5G networks by accommodating several users within the same orthogonal resource block. By doing so, significant bandwidth efficiency enhancement can be attained over conventional orthogonal multiple-access (OMA) techniques. This motivated numerous researchers to dedicate substantial research contributions to this field. In this context, we provide a comprehensive overview of the state of the art in power-domain multiplexing-aided NOMA, with a focus on the theoretical NOMA principles, multiple-antenna-aided NOMA design, on the interplay between NOMA and cooperative transmission, on the resource control of NOMA, on the coexistence of NOMA with other emerging potential 5G techniques and on the comparison with other NOMA variants. We highlight the main advantages of power-domain multiplexing NOMA compared to other existing NOMA techniques. We summarize the challenges of existing research contributions of NOMA and provide potential solutions. Finally, we offer some design guidelines for NOMA systems and identify promising research opportunities for the future.

/pdf/nonorthogonal-multiple-access-for-5g-and-beyond-4vzewzi5qj.pdf

Nonorthogonal Multiple Access for 5G and Beyond

The smart grid concept continues to evolve and various methods have been developed to enhance the energy efficiency of the electricity infrastructure. Demand Response (DR) is considered as the most cost-effective and reliable solution for the smoothing of the demand curve, when the system is under stress. DR refers to a procedure that is applied to motivate changes in the customers' power consumption habits, in response to incentives regarding the electricity prices. In this paper, we provide a comprehensive review of various DR schemes and programs, based on the motivations offered to the consumers to participate in the program. We classify the proposed DR schemes according to their control mechanism, to the motivations offered to reduce the power consumption and to the DR decision variable. We also present various optimization models for the optimal control of the DR strategies that have been proposed so far. These models are also categorized, based on the target of the optimization procedure. The key aspects that should be considered in the optimization problem are the system's constraints and the computational complexity of the applied optimization algorithm.

A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms

The exponential growth and availability of data in all forms is the main booster to the continuing evolution in the communications industry. The popularization of traffic-intensive applications including high definition video, 3-D visualization, augmented reality, wearable devices, and cloud computing defines a new era of mobile communications. The immense amount of traffic generated by today’s customers requires a paradigm shift in all aspects of mobile networks. Ultradense network (UDN) is one of the leading ideas in this racetrack. In UDNs, the access nodes and/or the number of communication links per unit area are densified. In this paper, we provide a survey-style introduction to dense small cell networks. Moreover, we summarize and compare some of the recent achievements and research findings. We discuss the modeling techniques and the performance metrics widely used to model problems in UDN. Also, we present the enabling technologies for network densification in order to understand the state-of-the-art. We consider many research directions in this survey, namely, user association, interference management, energy efficiency, spectrum sharing, resource management, scheduling, backhauling, propagation modeling, and the economics of UDN deployment. Finally, we discuss the challenges and open problems to the researchers in the field or newcomers who aim to conduct research in this interesting and active area of research.

Ultra-Dense Networks: A Survey

In this paper, we propose a new cooperative spectrum sensing scheme for cooperative energy detection, named multi-selective scheme. The proposed cooperative sensing scheme is based on order statistics of the reporting links between the cooperative nodes and fusion center where the links with high signal-to-noise ratios (SNRs) are selected as reliable reporting links. The performance of the proposed scheme is compared to other existing schemes in terms of the probability of detection and probability of false alarm over independent identical distributed (i.i.d.) Rayleigh fading channels. These reliable reporting links send their hard/local decisions to the fusion center where final decision is made using N-out-of-K rule. The performance of our proposed spectrum sensing scheme is evaluated using both analytical and simulation results where it shows a significant performance improvement in-terms of the probability of detection and false alarm compared with some other existing schemes.

A cooperative sensing scheme for cognitive networks over fading channels

This paper investigates the downlink (DL) performance of cell-free (CF) massive multiple-input multiple-output (mMIMO) systems under a wireless mMIMO-based fronthaul network operation. Particularly, we consider multiple edge-cloud processors (ECP)s serving access points (AP)s using one of three possible fronthaul network operations, namely, microwave, millimeter wave (mmWave), or hybrid microwave/mmWave. Under each fronthaul network operation, we analyze the achievable DL data rates for two different microwave-based operations of the access link (APs-users), namely, distributed and centralized operations, while assuming APs with/without decoding capabilities. In the distributed operation, APs are responsible for performing both channel estimation and DL data precoding tasks, whereas ECPs are the responsible entities for carrying out such tasks in the centralized counterpart. Our results show that the integration between the centralized access link operation and the hybrid-based fronthaul network provides the highest DL data rates when APs are empowered with decoding capabilities. However, integrating the distributed access link operation with the microwave-based fronthaul network achieves ultimate performance when APs are not supported with decoding capabilities. Interestingly, we reveal that APs with low fronthaul capacities dominantly control the preferred network configuration in-terms of the densities and the number of deployed antennas for both APs and ECPs.

Downlink Performance of CF Massive MIMO Under Wireless-Based Fronthaul Network

High frequency power consumption readings produced by smart meters introduce a major privacy threat to residential consumers as they reveal details that could be used to infer information about the activities of home occupants. In this paper, we question the need to disclose high frequency readings produced at the home’s level. Instead, we propose equipping smart meters with sufficient processing power enabling them to provide the utility company with a set of well-defined services based on these readings. For demand side management, we propose the collection of high frequency readings at a higher level in the distribution network, such as local step-down transformers, as this readily provides the accumulated demand of all homes within a branch. Furthermore, we study the effect of the proposed approach on consumers’ privacy, using correlation and relative entropy as measures. We also study the effect of load balancing on consumers’ privacy when using the proposed approach. Finally, we assess the detection of different appliances using high frequency readings collected for demand side management purposes.

/pdf/a-privacy-preserving-approach-to-smart-metering-1eymfvffid.pdf

A Privacy Preserving Approach to Smart Metering

This paper presents an enhanced scheme for the dynamic-frequency-hopping (DFH) technique introduced in the IEEE 802.22 standard for wireless regional area networks (WRAN). The performance of the DFH in the IEEE 802.22 standard is analysed in the presence of a Rayleigh fading channel implementing a multiple-input multiple- output (MIMO) system. We show the effect of interference caused by the Primary User (PU) appearance during the Secondary User (SU) data transmission. The system bit error rate is evaluated in order to demonstrate this effect. To overcome the limitations of the DFH on the system performance, we propose a modified spectrum sensing technique where spectrum monitoring is integrated with DFH to leverage higher throughput gains for the secondary network. The enhanced method is analyzed and simulated for a MIMO system.

Performance of Enhanced Dynamic Frequency Hopping in IEEE 802.22 with MIMO Implementation

The diverse applications of machine-to-machine (M2M) communication are going to lead to exponential growth in M2M traffic. Associating with M2M deployment, a massive number of devices are expected to access the wireless network concurrently. Hence, a network congestion is likely to occur. The conventional random access mechanism used in Long Term Evolution-Advanced (LTE-A) networks lacks the capability of handling such an enormous number of access attempts due to the frequent collisions. Therefore, designing an efficient medium access schemes is critical for the survival of M2M networks. In this paper, we provide a scalable overload control algorithm that provides access to M2M devices in a distributed manner. Particularly, we discuss some cases of non-idealities that could occur in real situations and propose possible solutions for each case. Additionally, we propose an updated version of the algorithm that includes a traffic regulation mechanism which effectively reduces the energy consumption of the devices. Simulation results are presented to show the effectiveness of the proposed modifications.

Walaa Hamouda

Papers

A cooperative sensing scheme for cognitive networks over fading channels

Downlink Performance of CF Massive MIMO Under Wireless-Based Fronthaul Network

A Privacy Preserving Approach to Smart Metering

Performance of Enhanced Dynamic Frequency Hopping in IEEE 802.22 with MIMO Implementation

Performance of Overload Control in Machine- to-Machine Wireless Networks