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

Future wireless networks are expected to constitute a distributed intelligent wireless communications, sensing, and computing platform, which will have the challenging requirement of interconnecting the physical and digital worlds in a seamless and sustainable manner. Currently, two main factors prevent wireless network operators from building such networks: (1) the lack of control of the wireless environment, whose impact on the radio waves cannot be customized, and (2) the current operation of wireless radios, which consume a lot of power because new signals are generated whenever data has to be transmitted. In this paper, we challenge the usual “more data needs more power and emission of radio waves” status quo, and motivate that future wireless networks necessitate a smart radio environment: a transformative wireless concept, where the environmental objects are coated with artificial thin films of electromagnetic and reconfigurable material (that are referred to as reconfigurable intelligent meta-surfaces), which are capable of sensing the environment and of applying customized transformations to the radio waves. Smart radio environments have the potential to provide future wireless networks with uninterrupted wireless connectivity, and with the capability of transmitting data without generating new signals but recycling existing radio waves. We will discuss, in particular, two major types of reconfigurable intelligent meta-surfaces applied to wireless networks. The first type of meta-surfaces will be embedded into, e.g., walls, and will be directly controlled by the wireless network operators via a software controller in order to shape the radio waves for, e.g., improving the network coverage. The second type of meta-surfaces will be embedded into objects, e.g., smart t-shirts with sensors for health monitoring, and will backscatter the radio waves generated by cellular base stations in order to report their sensed data to mobile phones. These functionalities will enable wireless network operators to offer new services without the emission of additional radio waves, but by recycling those already existing for other purposes. This paper overviews the current research efforts on smart radio environments, the enabling technologies to realize them in practice, the need of new communication-theoretic models for their analysis and design, and the long-term and open research issues to be solved towards their massive deployment. In a nutshell, this paper is focused on discussing how the availability of reconfigurable intelligent meta-surfaces will allow wireless network operators to redesign common and well-known network communication paradigms.

/pdf/smart-radio-environments-empowered-by-reconfigurable-ai-meta-4w4dwv72v2.pdf

Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come

The use of flying platforms such as unmanned aerial vehicles (UAVs), popularly known as drones, is rapidly growing. In particular, with their inherent attributes such as mobility, flexibility, and adaptive altitude, UAVs admit several key potential applications in wireless systems. On the one hand, UAVs can be used as aerial base stations to enhance coverage, capacity, reliability, and energy efficiency of wireless networks. On the other hand, UAVs can operate as flying mobile terminals within a cellular network. Such cellular-connected UAVs can enable several applications ranging from real-time video streaming to item delivery. In this paper, a comprehensive tutorial on the potential benefits and applications of UAVs in wireless communications is presented. Moreover, the important challenges and the fundamental tradeoffs in UAV-enabled wireless networks are thoroughly investigated. In particular, the key UAV challenges such as 3D deployment, performance analysis, channel modeling, and energy efficiency are explored along with representative results. Then, open problems and potential research directions pertaining to UAV communications are introduced. Finally, various analytical frameworks and mathematical tools, such as optimization theory, machine learning, stochastic geometry, transport theory, and game theory are described. The use of such tools for addressing unique UAV problems is also presented. In a nutshell, this tutorial provides key guidelines on how to analyze, optimize, and design UAV-based wireless communication systems.

/pdf/a-tutorial-on-uavs-for-wireless-networks-applications-2heqa4nlgr.pdf

A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems

The use of flying platforms such as unmanned aerial vehicles (UAVs), popularly known as drones, is rapidly growing. In particular, with their inherent attributes such as mobility, flexibility, and adaptive altitude, UAVs admit several key potential applications in wireless systems. On the one hand, UAVs can be used as aerial base stations to enhance coverage, capacity, reliability, and energy efficiency of wireless networks. On the other hand, UAVs can operate as flying mobile terminals within a cellular network. Such cellular-connected UAVs can enable several applications ranging from real-time video streaming to item delivery. In this paper, a comprehensive tutorial on the potential benefits and applications of UAVs in wireless communications is presented. Moreover, the important challenges and the fundamental tradeoffs in UAV-enabled wireless networks are thoroughly investigated. In particular, the key UAV challenges such as three-dimensional deployment, performance analysis, channel modeling, and energy efficiency are explored along with representative results. Then, open problems and potential research directions pertaining to UAV communications are introduced. Finally, various analytical frameworks and mathematical tools such as optimization theory, machine learning, stochastic geometry, transport theory, and game theory are described. The use of such tools for addressing unique UAV problems is also presented. In a nutshell, this tutorial provides key guidelines on how to analyze, optimize, and design UAV-based wireless communication systems.

https://uwe-repository.worktribe.com/preview/871355/IoT5m.pdf

5G Internet of Things: A survey

In this paper, we provide a unified framework for the study of multi-cell multi-user large-scale antenna system (LSAS) in both full-duplex (FD) and half-duplex (HD) modes of communications. Here, we employ the Poisson point process (PPP)-based abstraction model of massive-antenna base stations (BSs) and mobile terminals (MTs). The loop-back interference (LI) channels in FD mode are modeled using the Rician distribution with arbitrary statistics. All other channels are characterized using the unit-mean Rayleigh distribution, including the cross downlink (DL)-uplink (UL) interference (CI) in FD mode. The useful and interfering signals distributions under different linear conjugate-beamforming (CF) and zero-forcing (ZF) processes are derived. We develop analytical expressions for computing the LSAS DL and UL ergodic rates (ERs) and further study the performance gain of FD versus HD. The results highlight that the corresponding FD over HD ER gain increases logarithmically in the antenna array size. In addition, the anticipated two-fold improvement in ER is analytically shown to be only possible with an asymptotically large number of antennas.

/pdf/full-duplex-versus-half-duplex-large-scale-antenna-system-37xoq5c786.pdf

Full-duplex versus half-duplex large scale antenna system

The invention discloses a D2D communication mutual authentication method based on physical channel information. Initial authentication based on physical channel information can be conducted as long as one communication secret key is stored, and complex upper-level authentication is no longer needed, so the calculating complexity of initial authentication is greatly reduced. The D2D communication initial authentication step is moved to a terminal, and information is estimated by means of channels during authentication, so the complexity of initial authentication is reduced and the authentication time delay is reduced. After initial authentication, both D2D communication parties carry out information packet authentication based on physical channels on information packets received each time to prevent missing information packet authentication during D2D communication. In this way, the privacy of a user is protected, and an attacker is prevented from maliciously tampering with information packets.

D2D communication mutual authentication method based on physical channel information

Small-cell network is a promising solution to the high video traffic. However, it has some fundamental problems, i.e., high backhaul cost, quality of experience (QoE), and interference. To address these issues, we propose a cooperative transmission strategy for video transmission in small-cell networks with caching. In the scheme, each video file is encoded into segments using a maximum distance separable rateless code. Then, a portion of each segment is cached at a certain small-cell base station (SBS), so that the SBSs can cooperatively transmit these segments to users without incurring high backhaul cost. QoE When there is only one active user in the network, a greedy algorithm is utilized to deliver the video-file segment from the SBS with good channel state to the user watching videos in real time. This reduces video freezes and improves the QoE. When there exist several active users, interference will appear among them. To deal with interference, interference alignment (IA) is adopted. Based on the scheme for a single user, the greedy algorithm and IA are combined to transmit video-file segments to these users, and the performance of the system can be significantly improved. Simulation results are presented to show the effectiveness of the proposed scheme.

/pdf/cooperative-video-transmission-strategies-via-caching-in-2lsvog4dgf.pdf

Cooperative Video Transmission Strategies via Caching in Small-Cell Networks

In this paper, we consider secure downlink transmission in two-cell networks where the one base station (Alice) provides secure wireless services to its legitimate receiver (Bob) in the presence of a passive eavesdropper (Eve). For multi-cell networks, the inter-cell interference to Bob and Eve has a great impact on the security performance. In order to improve the confidentiality of information transfer from Alice to Bob, it is crucial to properly design the transmit strategies. With the results of conventional cooperative jamming (CJ) scheme, we propose a modified CJ scheme for cooperative base station (CBS) to further degrade the quality of signal reception at Eve, and therefore the secrecy rate can be increased. Both theoretical analysis and numerical results show that the modified CJ scheme outperforms the conventional CJ scheme by achieving a higher secrecy rate. Additionally, by taking the energy efficiency into account, we formulate an adaptive cooperation, in which the CBS is allowed to provide services to its desired receiver. We design a cooperative beamforming for CBS to satisfy the rate requirement while maximizing the secrecy rate of legitimate channel. Numerical results validate the effectiveness of the proposed cooperation scheme.

Joint cooperative jamming and beamforming for secure transmission in two-cell networks

Physical layer security (PLS) provides strong and lightweight secure communications for vehicle networks, which has attracted great attention. However, current schemes cannot defend against the passive eavesdroppers with any number of antennas. To fill this gap, we propose a physical layer secure MIMO-SVD (singular value decomposition) communication scheme (SSVD) to defend against such an eavesdropper with any number of antennas. In the SSVD scheme, the confidential information first goes through a special data frames secure process at the transmitter. After that, by integrating with SSVD precoding, the key information is attached and delivered in the combination of activated/non-activated MIMO parallel sub-channels of the legitimate receiver through the wireless channel. Due to the uniqueness and independence of wireless channel, only the legitimate receiver can observe the key information and use it to “decrypt” (XOR) the confidential information step by step with an arbitrary low BER (bit error rate). However, for any other eavesdropper who suffers an independent channel from legitimate users, the eavesdropper cannot obtain any key information from the received signals, regardless of how many antennas he/she has. Consequently, the eavesdropper cannot “decrypt” any information about the confidential information. The SSVD security and reliability are theoretically analyzed, and the simulation and numerical results fully verified its validity and effectiveness.

Jie Tang

Papers

Full-duplex versus half-duplex large scale antenna system

D2D communication mutual authentication method based on physical channel information

Cooperative Video Transmission Strategies via Caching in Small-Cell Networks

Joint cooperative jamming and beamforming for secure transmission in two-cell networks

Secure MIMO-SVD Communications Against Eavesdroppers With Any Number of Antennas