Wireless Network Performance Enhancement via Directional Antennas: Models, Protocols, and Systems Models, Protocols, and Systems

Directional antenna technologies have made significant advancements in the last decade. These advances have opened the door to many exciting new design opportunities for wireless networks to enhance quality of service (QoS), performance, and network capacity. In this book, experts from around the world present the latest research and development in wireless networks with directional antennas. Their contributed chapters provide detailed coverage of the models, algorithms, protocols, and applications of wireless networks with various types of directional antennas operating at different frequency bands. Wireless Network Performance Enhancement via Directional Antennas: Models, Protocols, and Systems identifies several interesting research problems in this important field, providing an opportunity to learn about solid solutions to these issues. It also looks at a number of practical hardware designs for the deployment of next-generation antennas, as well as efficient network protocols for exploitation of directional communications. The book is organized into six sections: Directional Antennas – covers the hardware design of different types of antennas Directional MAC – focuses on the principles of designing medium access control (MAC) protocols for directional networks Millimeter Wave – explores different design aspects of millimeter wave (mm-Wave) systems, which operate in higher-frequency bands (such as 60 GHz) MIMO – explains how to establish a multiple-input, multiple-output (MIMO) antenna system and describes how it operates in a cognitive radio network Advanced Topics – looks at additional topics such as beamforming in cognitive radio networks, multicast algorithm development, network topology management for connectivity, and sensor network lifetime issues Applications – illustrates some important applications, such as military networks and airborne networking, that benefit from directional networking designs With this book, researchers and engineers will be well-equipped to advance the research and development in this important field. If you’re new to this field, you will find this book to be a valuable reference on basic directional networking principles, engineering design, and challenges.

DIRECTIONAL ANTENNASIntroduction: Switched/Steered Directional Antennas for NetworkingTan Ngo, Murali Tummala, and John McEachenDesign and Optimization of Wideband Log-Periodic Dipole Arrays under Requirements for High Gain, High Front-to-Back Ratio, Optimal Gain Flatness, and Low Side Lobe Level: The Application of Invasive Weed OptimizationZaharias D. Zaharis, Pavlos I. Lazaridis, Christos Skeberis, George Mastorakis, Constandinos X. Mavromoustakis, Evangelos Pallis, Dimitrios I. Stratakis, and Thomas D. XenosDIRECTIONAL MACDiscovery Strategies for a Directional Wake-Up Radio in Mobile NetworksWen-Chan Shih, Raja Jurdak, David Abbott, Pai H. Chou, and Wen-Tsuen ChenMedium Access Control for Wireless Networks with Directional AntennasT. Owens Walker III, Murali Tummala, and John McEachenIEEE 802.11ad Wireless Local Area Network and Its MAC PerformanceDavid Tung Chong Wong, Francois Chin, Xiaoming Peng, and Qian ChenMILLIMETER WAVEMAC Layer Protocols for Wireless Networks with Directional AntennasMuhammad Irfan RafiqueMillimeter-Wave Wireless Networks: A Medium Access Control PerspectiveShiwen Mao and Theodore (Ted) S. RappaportDirectional MAC Protocols for 60 GHz Millimeter Wave WLANsKishor Chandra and R. Venkatesha PrasadPerformance Improvements of mm-Wave Wireless Personal Area Networks Using Beamforming and BeamswitchingSeokhyun YoonApplications of Directional Networking in Military SystemsLatha Kant, Ritu Chadha, and John LeeMIMODesign and Implementation of Directional Antenna-Based LOS-MIMO System for Gbps Wireless BackhaulXiang Chen, Xiujun Zhang, Shidong Zhou, Ming Zhao, and Jing WangMIMO and Cooperation in Cognitive Radio-Based Wireless Networks: State-of-the-Art and PerspectivesAbdelaali ChaoubADVANCED TOPICSDirectional Antennas and Beamforming for Cognitive Radio-Based Wireless NetworksAbdelaali Chaoub and Elhassane Ibn-ElhajMulticast Algorithm Design for Energy-Constrained Multihop Wireless Networks with Directional AntennasYi Shi, Y. Thomas Hou, Hanif D. Sherali, and Wenjing LouConnectivity of Large-Scale Wireless Networks with Directional AntennasChi-Kin Chau, Richard J. Gibbens, and Don TowsleyBounds on the Lifetime of Wireless Sensor Networks with Lossy Links and Directional AntennasJuan M. Alonso, Amanda Nordhamn, Simon Olofsson, and Thiemo VoigtAPPLICATIONSUtilization of Directional Antennas in Flying Ad Hoc Networks: Challenges and Design GuidelinesSamil Temel and Ilker BekmezciMilitary Networks Enabled by Directional AntennasJerry Sonnenberg, Keith Olds, Emil Svatik, and Dave ChesterMilitary Applications of Directional Mesh NetworkingTodd Mcintyre, Marc J. Russon, Stephen M. Dudley, and Victor WellsCollaborative and Opportunistic Content Dissemination via Directional AntennasYong Li, Wei Feng, Li Su, Xiang Chen, and Depeng JinThe Evolution of Directional Networking Systems ArchitectureMatthew Sherman

John D. Matyjas earned his PhD in electrical engineering from State University of New York at Buffalo in 2004. Currently, he is serving as the Connectivity & Dissemination Core Technical Competency Lead at the Air Force Research Laboratory (AFRL) in Rome, New York. His research interests include dynamic multiple-access communications and networking, spectrum mutability, statistical signal processing and optimization, and neural networks. He served on the IEEE Transactions on Wireless Communications Editorial Advisory Board from 2012-2014. Dr. Matyjas is the recipient of the 2012 IEEE R1 Technology Innovation Award, 2012 AFRL Harry Davis Award for "Excellence in Basic Research," and the 2010 IEEE International Communications Conference Best Paper Award. He is an IEEE senior member, chair of the IEEE Mohawk Valley Signal Processing Society, and member of Tau Beta Pi and Eta Kappa Nu. Fei Hu is a professor in the Department of Electrical and Computer Engineering at The University of Alabama, Tuscaloosa. He earned his PhD at Tongji University (Shanghai, China) in the field of signal processing (1999), and at Clarkson University (New York) in electrical and computer engineering (2002). He has published over 200 journal/conference papers and books. Dr. Hu’s research has been supported by U.S. National Science Foundation, Cisco, Sprint, and other sources. His research expertise can be summarized as 3S: Security, Signals, Sensors: (1) Security: How to overcome different cyber attacks in a complex wireless or wired network. Dr. Hu’s recent research focuses on cyber-physical system security and medical security issues. (2) Signals: This mainly refers to intelligent signal processing, that is, using machine learning algorithms to process sensing signals in a smart way in order to extract patterns (i.e., pattern recognition). (3) Sensors: This includes microsensor design and wireless sensor networking issues.