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"The Handbook of Antenna Technologies aims to present the rapid development of antenna technologies, particularly in the past two decades, and also showcasing the newly developed technologies and the latest applications. The handbook will provide readers with the comprehensive updated reference information covering theory, modeling and optimization methods, design and measurement, new electromagnetic materials, and applications of antennas. The handbook will widely cover not only all key antenna design issues but also fundamentals, issues related to antennas (transmission, propagation, feeding structure, materials, fabrication, measurement, system, and unique design challenges in specific applications). This handbook will benefit the readers as a full and quick technical reference with a high-level historic review of technology, detailed technical descriptions and the latest practical applications."

"This monograph develops a framework for modeling and solving utility maximization problems in nonconvex wireless systems. The first part develops a model for utility optimization in wireless systems. The model is general enough to encompass a wide array of system configurations and performance objectives. Based on the general model, a set of methods for solving utility maximization problems is developed in the second part of the book. The development is based on a careful examination of the properties that are required for the application of each method. This part focuses on problems whose initial formulation does not allow for a solution by standard methods and discusses alternative approaches. The last part presents two case studies to demonstrate the application of the proposed framework. In both cases, utility maximization in multi-antenna broadcast channels is investigated."

"The new edition of Advanced Wireless Communications: 4G Cognitive and Cooperative Broadband Technology, 2nd Edition, including the latest developments In the evolution of wireless communications, the dominant challenges are in the areas of networking and their integration with the Future Internet."

"This SpringerBrief introduces the basics of wireless powered communication networks (WPCNs). In particular, the background and concept of WPCNs are briefly discussed. Moreover, this brief provides an extensive study of the recent developments in this area from an optimization perspective. Wireless powered communication network (WPCN) is a new network paradigm for IoT, where wireless devices (WDs) are powered by radio frequency (RF) based wireless power transfer (WPT) to eliminate the need for recharging or replacing the batteries manually and to prolong their lifetime.In this context, the brief also discusses some optimization problems for state-of-the-art scenarios of wireless powered communication networks.The target audiences for this SpringerBrief are researchers, engineers, and undergraduate and graduate-level students, who are studying or working in wireless powered communication networks and its performance optimization."

"This SpringerBrief investigates and reviews the development and various applications of mobile crowd sensing (MCS). With the miniaturization of sensors and the popularity of smart mobile devices, MCS becomes a promising solution to efficiently collect different types of information, such as traffic conditions, air quality, temperature and more, which is covered in this brief. The features, novelty, and applications of MCS are elaborated in detail in this brief. In addition, the basic knowledge about auction theory and incentive mechanism design is introduced.Incentive mechanism design plays a key role in the success of MCS. With an efficient incentive mechanism, it is possible to attract enough mobile users to participate in a MCS system, thus enough high quality sensing data can be collected. Two types of incentive mechanisms with different system models are introduced in this brief. One is the reputation-aware incentive mechanism, and another is the social-aware incentive mechanism.This SpringerBrief covers the significance and the impacts of both reputation and social relationship of smartphone users (SUs) in MCS and presents extensive simulation results to demonstrate the good performance of the proposed incentive mechanisms compared with some existing counterparts.The target audience for this SpringerBrief is researchers and engineers in the area of wireless communication and networking, especially those who are interested in the mobile crowd sensing or incentive mechanism design. Meanwhile, it is also intended as a reference guide for advanced level students in the area of wireless communications and computer networks."

"Channel estimation memiliki definisi untuk memperkirakan koefisien filter melalui sinyal yang diterima dan informasi lain yang dikenal. Ada beberapa metode channel estimation yang dapat diguanakan seperti minimum mean square error, least square, zero-force, maximum likelihood. Dalam penelitian ini, least square dan zero-force akan dibahas lebih lanjut. Kedua jenis ini dikenal umum sebagai jenis yang paling sederhana dan paling mudah untuk diterapkan di dalam komunikasi nirkabel. Meskipun metode lain seperti minimum mean square error atau maximum likelihood telah dikenal secara luas untuk memperkirakan kanal, metode tersebut terbukti sangat kompleks untuk diimplementasikan.Penelitian ini bertujuan untuk memahami efek dan membandingkan kinerja channel estimation dengan menggunakan kapasitas multi antenna seperti Single-Input Single Output (SISO), Multiple-Input Single-Output (MISO), Single-Input Multiple-Output (SIMO) dan Multiple-Input Multiple-Output (MIMO). Least square dan metode estimasi zero-force telah digunakan dengan memakai modulasi Binary Phase Shift Keying (BPSK), hal ini dikarenakan BPSK adalah metode phase shift keying yang paling sederhana untuk di implementasikan di dalam penelitian ini. Pertama-tama, segala parameter perlu dikonfigurasi terlebih dahulu untuk digunakan di dalam simulasi. Kemudian, data dalam sistem pilot dikirim ke penerima menggunakan modulasi BPSK di setiap sistem multi antenna dengan menggunakan saluran nirkabel yang berbeda. Lalu, Alamouti encoder dieksekusi khusus untuk sistem MIMO dan MISO. Setelah itu, least square dan zero-force diterapkan dan tingkat kesalahan bit atau dengan nama lain bit error rate (BER) dapat dicapai dengan menyamakan sinyal yang ditransmisikan. Kemudian, analisa hasil data dengan membandingkan kinerja least square dan zero-force dapat dicapai. Pada akhirnya, hasil yang telah ditemukan menunjukkan bahwa least square melakukan performa lebih baik daripada metode estimasi zero force yang berlaku pada kinerja tingkat kesalahan bit dengan sinyal terhadap noise atau dengan nama lain signal to noise ratio (SNR).

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Channel estimation has a definition to estimate the filter coefficient through received signal and other known information. There are many methods that channel estimation can be used such as minimum mean square error, least square, zero-force, maximum likelihood. In this research, least square and zero force will be discussed further. These two types are commonly known as the simplest and easiest type to implement in the wireless communication. Even though other methods like minimum mean square error or maximum likelihood have been widely known to estimate channel, such methods are proven very complex to implement.

The aimed of this research is to understand the effect and compare the performance of the channel estimation method with the capacity of multiple antennas such as Single-Input Single-Output (SISO), Multiple-Input Single-Output (MISO), Single-Input Multiple-Output (SIMO) and Multiple-Input Multiple-Output (MIMO). Least square and zero force estimation method were being used with BPSK modulation, this is due to BPSK is the simplest phase shift keying.

First, the parameters need to be configured in simulation software. Then, the data within pilots system transmitted to receiver using BPSK modulation in each of the wireless antenna systems with different wireless channels. Space time block coding of Alamouti encoder were executed for MIMO and MISO system. After that, least square and zero force method were implemented and bit error rate (BER) performance can be achieved by equalizing the transmitted signal. Analysing the result by comparing the performance of least square and zero force were accomplished.

In the recent result, it was shown that the least square performs better than zero force estimation method for the performance of bit error rate with signal to noise ratio."

"Wireless power transmission is being investigated as a means to operate tiny medical devices such as the capsular endoscope, which is ableto exist for a long period during diagnostic procedures within the body. In this paper, we examine the wireless power transmission to a capsular endoscope by electromagnetic waves to show its usability for medical applications. A modified helical antenna inside the endoscope is proposed as a power receiving antenna, operating at 915 MHz. By calculating a maximum received power in the stomach using suchantenna, the results show that adequate power can be well received. "

"Contents : - Table of contents by author - Part I: Business issues, deployment, and revenue generation - Part II: Technology and infrastructure - Part III: Applications and services - Part IV: Quality of service, customer care, and security - Acronym guide "

"Antenna can be one of the largest components in a wireless device; therefore antenna miniaturization can reduce the overall size of wireless devices. One method used to reduce the element size of an antenna is by using meta material structures. This paper discusses a Left-Handed Meta material (LHM) structure stacked on a two-element microstrip antennas array for miniaturization and gain enhancement at a frequency of 2.35 GHz. To observe the impact of the LHM structure on the antenna, first this paper discuss the design of a conventional rectangular shape microstrip antenna without a LHM structure, then a design of the LHM structure which shows both negative permittivity and negative permeability. This LHM structure is then implemented on a conventional single element microstrip antenna and on a two-element microstrip antennas array. Results and discussion of implementation of the LHM structure on the conventional microstrip antenna is provided in this paper. The results show that good agreement between simulated and measured results has been achieved. The simulation results show that the antenna works at a frequency of 2.29–2.42 GHz with a bandwidth of 128 MHz (5.4%) and a gain of 8.2 dBi, while the measurements show that the antenna works at a frequency of 2.26–2.41 GHz with a bandwidth of 146 MHz (6.21%) and a gain of 8.97 dBi. In addition, by comparing the substrate dimension for the two element array antennas, with and without the LHM structure, shows a 39% reduction is achieved."