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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

Network densification is a promising approach to support the ever-increasing required capacity in cellular networks. Besides, securing the gigantic amount of sensitive data transferred within the network has become a critical issue. Ultra-Dense Networks (UDNs) with a massive number of deployed Small Cells (SCs) constitute the new trait of network densification. Exploiting this massive number of small cells and their proximity to served users, we can enhance the achievable secrecy rate in the network. In this paper, we study Physical Layer Security (PLS) in a multiple-association scenario where each user is served simultaneously by a group of the M closest SCs. This approach helps to mitigate the limitations in the backhaul link capacities of the SCs. Besides, it provides spatial diversity for the users when their data traffic is split into different paths which enhances secrecy performance. Using tools from stochastic geometry, we provide a lower bound analytical expression for the average secrecy rate per user. The obtained results via both analysis and system-level simulations show the significant gain in secrecy performance that can be attained from the proposed multiple associations scheme.

Secrecy Performance in Ultra-Dense Networks with Multiple Associations

-This paper introduces a novel spectrum monitoring algorithm for Orthogonal Frequency Division Multiplexing (OFDM) based cognitive radios so that the primary user activity can be detected during the secondary user transmission. The presented technique fully utilizes the performance of both primary and secondary networks. This is done by sensing the variations in signal power over a number of reserved OFDM sub-carriers so that the reappearance of the primary user is quickly detected and the throughput of both primary and secondary networks are kept high. Both analysis and simulation show that the energy ratio algorithm not only effectively and accurately detects the appearance of the primary user in frequency selective channels, but also offers immunity to the traditional OFDM challenges like the sensitivity of Inter Carrier Interference (ICI) effects.

A Novel Spectrum Monitoring Algorithm for OFDM-Based Cognitive Radio Networks

The ATM performance over fiber-optic terrestrial networks is known to achieve high quality-of service (QoS) classes supporting different traffic types, and very low probability of bit errors, A probability of cell-loss on the order of 10/sup -10/ and a bit-error-rate (BER) on the order of 10/sup -8/ for data services are made possible on fiber-optic links. In contrast to the fiber-optic case, satellite transmission is often subjected to a large number of channel errors due to atmospheric noise and channel interference. Therefore, in order to achieve a fiber-optic like performance on the satellite channel, forward-error-correction (FEC) codes are essential for both the header and data fields of the ATM cell. This paper discusses two different FEC coding schemes for the ATM cell header. In addition, a FEC code design for data services (corresponding to AAL5) is presented. In the analysis we assume that there are no significant burst errors problem on the SATCOM link, and errors due to channel transmissions are mostly random errors.

Performance of ATM cell transmission via regenerative satellite links

We propose a cooperative wideband sensing approach based on the fast Fourier transform-based 1-bit quantization sensing applied at the cognitive radio (CR) receiver. A hard combining approach is utilized to fuse the local binary decisions obtained from different CRs. The system parameters are optimized to maximize the aggregate throughput subjected to a constrained interference term. When compared with other methods, in addition to the significant saving in power and complexity, results indicate that the proposed method provides better performance even though an aggressive quantization has been applied.

Cooperative Low-Power Wideband Sensing Based on 1-bit Quantization

In this paper, the physical-layer security for a three-node wiretap system model is studied. Under the threat of multiple eavesdroppers, it is presumed that a transmitter is communicating with a legitimate receiver. The channels are assumed to be following cascaded κ-μ fading distributions. In addition, two scenarios for eavesdroppers’ interception and information-processing capabilities are investigated: colluding and non-colluding eavesdroppers. The positions of these eavesdroppers are assumed to be random in the non-colluding eavesdropping scenario, based on a homogeneous Poisson point process (HPPP). The security is examined in terms of the secrecy outage probability, the probability of non-zero secrecy capacity, and the intercept probability. The exact and asymptotic expressions for the secrecy outage probability and the probability of non-zero secrecy capacity are derived. The results demonstrate the effect of the cascade level on security. Additionally, the results indicate that as the number of eavesdroppers rises, the privacy of signals exchanged between legitimate ends deteriorates. Furthermore, in this paper, regarding the capabilities of tapping and processing the information, we provide a comparison between colluding and non-colluding eavesdropping.

https://www.mdpi.com/1999-5903/13/8/205/pdf

Walaa Hamouda

Papers

Secrecy Performance in Ultra-Dense Networks with Multiple Associations

A Novel Spectrum Monitoring Algorithm for OFDM-Based Cognitive Radio Networks

Performance of ATM cell transmission via regenerative satellite links

Cooperative Low-Power Wideband Sensing Based on 1-bit Quantization

Cascaded κ-μ Fading Channels with Colluding and Non-Colluding Eavesdroppers: Physical-Layer Security Analysis