Antenna Diversity Combining and Beamforming at Millimeter Wave Frequencies

Total Page:16

File Type:pdf, Size:1020Kb

Antenna Diversity Combining and Beamforming at Millimeter Wave Frequencies NYU WIRELESS TR 2014-002 Technical Report Antenna Diversity Combining and Beamforming at Millimeter Wave Frequencies Shu Sun, Theodore S. Rappaport [email protected], [email protected] NYU WIRELESS NYU Polytechnic School of Engineering 2 MetroTech Center Brooklyn, NY 11201 June 10, 2014 © 2015 NYU ABSTRACT Antenna Diversity Combining and Beamforming at Millimeter Wave Frequencies Shu Sun, Theodore S. Rappaport New York University, 2014 This thesis focuses on antenna diversity combining and beamforming at millimeter wave (mmWave) frequencies. Extensive outdoor channel propagation measurement campaigns have been conducted in downtown dense urban environments of New York City at 28 GHz and 73 GHz, from which huge amount of data were acquired and post-processed to obtain various channel parameters and statistics for the next generation wireless communications. Using the measured data, theoretical analysis of antenna diversity combining has been performed to investigate its effect on improving the received signal quality and extending coverage range. Various broadband mmWave beamforming algorithms and hardware architectures have also been reviewed and investigated in this thesis, with an emphasis on the design and characterization of optically addressed phased array antennas. ii Table of Contents ABSTRACT .............................................................................................................................................................. II LIST OF TABLES ..................................................................................................................................................... IV CHAPTER 1 INTRODUCTION ................................................................................................................................... 1 1.1 PROJECT PURPOSE ................................................................................................................................... 1 1.2 PROJECT GOALS ...................................................................................................................................... 3 1.3 LITERATURE REVIEW OF MIMO SYSTEMS ................................................................................................................ 5 A. ADAPTIVE ARRAYS ......................................................................................................................................... 24 B. ADAPTIVE BEAMFORMING ALGORITHMS ............................................................................................................. 26 C. NON-BLIND ADAPTIVE ALGORITHMS .................................................................................................................. 27 D. BLIND ADAPTIVE ALGORITHMS ......................................................................................................................... 29 CHAPTER 2 CHANNEL SOUNDING SYSTEM ........................................................................................................... 59 2.1 CHANNEL SOUNDING METHODS .......................................................................................................................... 59 2.2 SPREAD SPECTRUM MODULATION ....................................................................................................................... 62 2.3 PSEUDO-NOISE SEQUENCES ............................................................................................................................... 63 2.4 SLIDING CORRELATOR DESCRIPTION ..................................................................................................................... 63 2.5 CHANNEL SOUNDING SYSTEM FOR 28 GHZ OUTDOOR PROPAGATION MEASUREMENTS.................................................... 72 2.6 CHANNEL SOUNDING SYSTEM FOR 73 GHZ OUTDOOR PROPAGATION MEASUREMENTS.................................................... 72 CHAPTER 3 MEASUREMENT PROCEDURE AND RESULTS AT 28 GHZ AND 73 GHZ ................................................. 86 3.1 28 GHZ MEASUREMENT PROCEDURE ................................................................................................................... 86 3.2 73 GHZ MEASUREMENT PROCEDURE ................................................................................................................... 91 3.3 OUTDOOR CELLULAR PROPAGATION MEASUREMENTS RESULTS AT 28 GHZ ................................................................. 102 3.4 OUTDOOR CELLULAR PROPAGATION MEASUREMENTS RESULTS AT 73 GHZ ................................................................. 112 CHAPTER 4 BEAM COMBINING AT 28 GHZ AND 73 GHZ ..................................................................................... 126 4.1 CONCEPT OF BEAM COMBINING ........................................................................................................................ 126 4.2 BEAM COMBINING PROCEDURE ........................................................................................................................ 129 4.3 PATH LOSS MODELS ....................................................................................................................................... 131 4.4 BEAM COMBINING RESULTS AT 28 GHZ .............................................................................................................. 133 4.5 BEAM COMBINING RESULTS AT 73 GHZ .............................................................................................................. 142 4.6 COMPARISON OF 28 GHZ AND 73 GHZ BEAM COMBINING RESULTS ......................................................................... 150 4.7 BEAM COMBINING RESULTS USING MEASURED DATA DEFINED IN A OMNI MODEL ....................................................... 153 CHAPTER 5 MIMO SYSTEMS AND BEAMFORMING............................................................................................. 165 5.1 ANTENNA ARRAY ........................................................................................................................................... 165 5.2 MIMO SYSTEMS ........................................................................................................................................... 173 5.3 MASSIVE MIMO VERSUS SMALL CELL ................................................................................................................ 186 5.4 BEAMFORMING CATEGORIES ............................................................................................................................ 187 5.5 DOA ESTIMATION ALGORITHMS ....................................................................................................................... 191 5.6 OPTICAL BEAMFORMING HARDWARE ARCHITECTURE ............................................................................................. 205 CHAPTER 6 CONCLUSION AND FUTURE WORK ................................................................................................... 221 6.1 CONCLUSION ................................................................................................................................................ 221 6.2 FUTURE WORK ............................................................................................................................................. 221 BIBLIOGRAPHY ............................................................................................................................................ 223 iii List of Tables Table 1. List and comparison among different adaptive array algorithms for beamforming. ...... 31 Table 2 Comparison of various channel sounding techniques. ................................................... 67 Table 3 Noise sources and the corresponding methods of mitigating them. ................................ 71 Table 4 Spread spectrum channel sounder specifications at 28 GHz and 73 GHz. ...................... 84 Table 5 The different antenna pointing angle combinations used for all outdoor Manhattan measurements at 28 GHz. “Narrow” and “Wide” mean 24.5 dBi horn antenna (with 10.9° beamwidth) and 15 dBi horn antenna (with 28.8° beamwidth), respectively. The Elevation column represents the number of beam widths above or below horizon. The TX Azimuth column represents the number of beam widths left or right from boresight where boresight is the angle with the strongest multipath link found during the initial cursory sweep. Positive beamwidths correspond to a counterclockwise increasing direction about the antenna boresight. .................. 89 Table 6 The different antenna pointing angle combinations used for all outdoor Brooklyn measurements at 28 GHz. “Narrow” means 24.5 dBi horn antenna with 10.9° beamwidth and “Wide” means 15 dBi with 28.8º beamwidth. The Elevation column represents the number of beam widths above or below horizon. ........................................................................................ 90 Table 7 TX and RX locations and the corresponding TX-RX distances for the mobile scenario. 97 Table 8 TX and RX locations and the corresponding TX-RX distances for the backhaul scenario. ................................................................................................................................................. 99 Table 9. TX-RX separation, average received power (Pav), received power of the best single signal – i.e. from the single best antenna pointing angle (PC1 or PNC1), received power of the best two, three, and four signals combined noncoherently (denoted by PNC2, PNC3, PNC4 respectively), received power of the best two, three, and four
Recommended publications
  • MULTIPLE ANTENNA TECHNIQUES in Wimax
    MEE10:05 MULTIPLE ANTENNA TECHNIQUES IN WiMAX Waseem Hussain Sandhu Muhammad Awais This thesis is presented as part of Degree of Master of Science in Electrical Engineering Blekinge Institute of Technology February 2010 Blekinge Institute of Technology School of Engineering Department of Signal Processing Supervisor: Dr. Benny Lövström Examiner: Dr. Benny Lövström 1 Acknowledgements All praises to ALLAH, the cherisher and the sustainer of the universe, the most gracious and the most merciful, who bestowed us with health and abilities to complete this project successfully. We are extremely grateful to our project supervisor Benny Lövström who guided us in the best possible way in our project. He is always a source of inspiration for us. His encouragement and support never faltered. We are especially thankful to the Faculty and Staff of School of Engineering at Blekinge Institute of Technology (BTH) Karlskrona, Sweden, who have always been a source of motivation for us and supported us tremendously during this research. Our special gratitude and acknowledgments are there for our parents for their everlasting moral support and encouragements. Without their support, prayers, love and encouragement, we wouldn’t be able to achieve our Goals. Waseem Hussain Sandhu & Muhammad Awais Karlskrona, February 2010. 2 Abstract Now-a-days wireless networks such as cellular communication have deeply affected human lives and became an essential part of it. The demand to buy high capacity and better performance devices and cellular services has been rapidly increased. There are more than two hundred different countries and almost three billion users all over the world which are using cellular services provided by Global System for Mobile (GSM), Universal Mobile Telecommunication System (UMTS), Wireless Local Area Network (WLAN) and Worldwide Interoperability for Microwave Access (WiMAX).
    [Show full text]
  • Performance Comparisons of MIMO Techniques with Application to WCDMA Systems
    EURASIP Journal on Applied Signal Processing 2004:5, 649–661 c 2004 Hindawi Publishing Corporation Performance Comparisons of MIMO Techniques with Application to WCDMA Systems Chuxiang Li Department of Electrical Engineering, Columbia University, New York, NY 10027, USA Email: [email protected] Xiaodong Wang Department of Electrical Engineering, Columbia University, New York, NY 10027, USA Email: [email protected] Received 11 December 2002; Revised 1 August 2003 Multiple-input multiple-output (MIMO) communication techniques have received great attention and gained significant devel- opment in recent years. In this paper, we analyze and compare the performances of different MIMO techniques. In particular, we compare the performance of three MIMO methods, namely, BLAST, STBC, and linear precoding/decoding. We provide both an analytical performance analysis in terms of the average receiver SNR and simulation results in terms of the BER. Moreover, the applications of MIMO techniques in WCDMA systems are also considered in this study. Specifically, a subspace tracking algo- rithm and a quantized feedback scheme are introduced into the system to simplify implementation of the beamforming scheme. It is seen that the BLAST scheme can achieve the best performance in the high data rate transmission scenario; the beamforming scheme has better performance than the STBC strategies in the diversity transmission scenario; and the beamforming scheme can be effectively realized in WCDMA systems employing the subspace tracking and the quantized feedback approach. Keywords and phrases: BLAST, space-time block coding, linear precoding/decoding, subspace tracking, WCDMA. 1. INTRODUCTION ing power and/or rate over multiple transmit antennas, with partially or perfectly known channel state information [7].
    [Show full text]
  • Introduction to Radio Systems
    Chapter 1 Introduction to Radio Systems Because radio systems have fundamental characteristics that distinguish them from their wired equivalents, this chapter provides an introduction to the various radio technologies relevant to the IP design engineer. The concepts discussed provide a foundation for fur- ther comparisons of the competing mobile radio access systems for supporting mobile broadband services and expanding into IP design for mobile networks. Many excellent texts concentrate on the detail of mobile radio propagation, and so this chapter will not attempt to cover radio frequency propagation in detail; rather, it is intended to provide a basic understanding of the various radio technologies and concepts used in realizing mobile radio systems. In particular, this chapter provides an insight into how the characteristics of the radio network impact the performance of IP applications running over the top of mobile networks—characteristics that differentiate wireless net- works from their fixed network equivalents. In an ideal world, radio systems would be able to provide ubiquitous coverage with seam- less mobility across different access systems; high-capacity, always-on systems with low latency and jitter; and wireless connectivity to IP hosts with extended battery life, thus ensuring that all IP applications could run seamlessly over the top of any access network. Unfortunately, real-world constraints mean that the radio engineer faces tough compro- mises when designing a network: balancing coverage against capacity, latency against throughput, and performance against battery life. This chapter introduces the basics of mobile radio design and addresses how these tradeoffs ultimately impact the perform- ance of IP applications delivered over mobile radio networks.
    [Show full text]
  • Supplemental Information for an Amateur Radio Facility
    COMMONWEALTH O F MASSACHUSETTS C I T Y O F NEWTON SUPPLEMENTAL INFORMA TION FOR AN AMATEUR RADIO FACILITY ACCOMPANYING APPLICA TION FOR A BUILDING PERMI T, U N D E R § 6 . 9 . 4 . B. (“EQUIPMENT OWNED AND OPERATED BY AN AMATEUR RADIO OPERAT OR LICENSED BY THE FCC”) P A R C E L I D # 820070001900 ZON E S R 2 SUBMITTED ON BEHALF OF: A LEX ANDER KOPP, MD 106 H A R TM A N ROAD N EWTON, MA 02459 C ELL TELEPHONE : 617.584.0833 E- MAIL : AKOPP @ DRKOPPMD. COM BY: FRED HOPENGARTEN, ESQ. SIX WILLARCH ROAD LINCOLN, MA 01773 781/259-0088; FAX 419/858-2421 E-MAIL: [email protected] M A R C H 13, 2020 APPLICATION FOR A BUILDING PERMIT SUBMITTED BY ALEXANDER KOPP, MD TABLE OF CONTENTS Table of Contents .............................................................................................................................................. 2 Preamble ............................................................................................................................................................. 4 Executive Summary ........................................................................................................................................... 5 The Telecommunications Act of 1996 (47 USC § 332 et seq.) Does Not Apply ....................................... 5 The Station Antenna Structure Complies with Newton’s Zoning Ordinance .......................................... 6 Amateur Radio is Not a Commercial Use ............................................................................................... 6 Permitted by
    [Show full text]
  • Before the Federal Communications Commission Washington DC 20554
    Before the Federal Communications Commission Washington DC 20554 In the Matter of ) ) Unlicensed Use of the 6 GHz Band ) ET Docket No. 18-295 ) Expanding Flexible Use of the Mid-Band ) GN Docket No. 17-183 Spectrum Between 3.17 and 24 GHz ) COMMENTS OF THE FIXED WIRELESS COMMUNICATIONS COALITION Cheng-yi Liu Mitchell Lazarus FLETCHER, HEALD & HILDRETH, P.L.C. 1300 North 17th Street, 11th Floor Arlington, VA 22209 703-812-0400 Counsel for the Fixed Wireless February 15, 2019 Communications Coalition TABLE OF CONTENTS A. Summary .................................................................................................................................. 1 B. 6 GHz FS Bands and the Public Interest ................................................................................. 6 C. Fallacies on RLAN/FS Interference ........................................................................................ 9 1. High-off-the-ground FS antennas .................................................................................... 9 2. Indoor operation ............................................................................................................. 10 3. Statistical interference prediction .................................................................................. 10 D. Automatic Frequency Control Using Exclusion Zones ......................................................... 13 E. Multipath Fading and Fade Margin ....................................................................................... 15 1. Momentary interference
    [Show full text]
  • MIMO Systems and Transmit Diversity 1 Introduction 2 MIMO Capacity Analysis
    MIMO Systems and Transmit Diversity 1 Introduction So far we have investigated the use of antenna arrays in interference cancellation and for receive diversity. This final chapter takes a broad view of the use of antenna arrays in wireless communi- cations. In particular, we will investigate the capacity of systems using multiple transmit and/or multiple receive antennas. This provides a fundamental limit on the data throughput in multiple- input multiple-output (MIMO) systems. We will also develop the use of transmit diversity, i.e., the use of multiple transmit antennas to achieve reliability (just as earlier we used multiple receive antennas to achieve reliability via receive diversity). The basis for receive diversity is that each element in the receive array receives an independent copy of the same signal. The probability that all signals are in deep fade simultaneously is then significantly reduced. In modelling a wireless communication system one can imagine that this capability would be very useful on transmit as well. This is especially true because, at least in the near term, the growth in wireless communications will be asymmetric internet traffic. A lot more data would be flowing from the base station to the mobile device that is, say, asking for a webpage, but is receiving all the multimedia in that webpage. Due to space considerations, it is more likely that the base station antenna comprises multiple elements while the mobile device has only one or two. In addition to providing diversity, intuitively having multiple transmit/receive antennas should allow us to transmit data faster, i.e., increase data throughput.
    [Show full text]
  • IF-Sampling Digital Beamforming with Bit-Stream Processing by Jaehun
    IF-Sampling Digital Beamforming with Bit-Stream Processing by Jaehun Jeong A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Electrical Engineering) in the University of Michigan 2015 Doctoral Committee: Professor Michael P. Flynn, Chair Professor Jerome P. Lynch Associate Professor David D. Wentzloff Associate Professor Zhengya Zhang © Jaehun Jeong 2015 TABLE OF CONTENTS LIST OF FIGURES iv LIST OF TABLES vii LIST OF ABBREVIATIONS viii ABSTRACT x CHAPTER 1 Introduction 1 1.1 Beamforming and Its Applications 1 1.2 Narrowband and Wideband Beamforming 2 1.3 Beamforming in Receivers 3 1.4 Beamforming Receiver Architectures 6 1.4.1 Analog Beamforming 7 1.4.2 Digital Beamforming 8 1.5 Finite Complex Weight Resolution Effect on Phase Shifting 10 1.6 Thesis Overview 12 CHAPTER 2 IF-Sampling DBF with CTBPDSMs and BSP 14 2.1 DBF with Direct IF Sampling 16 2.2 Bit-Stream Processing DBF with ΔΣ Modulator Outputs 17 2.3 Mathematical Expressions of DBF with Band-Pass ADCs 20 ii 2.3.1 Beamforming with Single-Tone Inputs 21 2.3.2 Beamforming with Amplitude-Modulated Inputs 23 2.4 Prototype BSP Beamformers 25 2.4.1 MUX-based DDC and Phase Shifting 27 2.4.2 Summation 30 2.4.3 Decimation 30 2.5 Comparison between DSP and BSP 32 CHAPTER 3 Continuous-Time Band-Pass ΔΣ Modulator 35 3.1 Architecture 35 3.2 Circuit Implementation 39 3.2.1 Single Op-Amp Resonator 40 3.2.2 Quantizer 43 3.2.3 Current Steering DAC 44 CHAPTER 4 Measurements 46 4.1 Prototype I 46 4.2 Prototype II 49 CHAPTER 5 Future Work 58
    [Show full text]
  • Limitations, Performance and Instrumentation of Closed-Loop Feedback Based Distributed Adaptive Transmit Beamforming in Wsns
    Limitations, performance and instrumentation of closed-loop feedback based distributed adaptive transmit beamforming in WSNs Stephan Sigg, Rayan Merched El Masri, Julian Ristau and Michael Beigl Institute of operating systems and computer networks, TU Braunschweig Muhlenpfordtstrasse¨ 23, 38106 Braunschweig, Germany fsigg,[email protected], fj.ristau,[email protected] Abstract—We study closed-loop feedback based approaches to Also, by virtual MIMO techniques in wireless sensor net- distributed adaptive transmit beamforming in wireless sensor works [9], [10], single antenna nodes may establish a dis- networks. For a global random search scheme we discuss the tributed antenna array to generate a MIMO channel. Virtual impact of the transmission distance on the feasibility of the synchronisation approach. Additionally, a quasi novel method MIMO is energy efficient and adjusts to different frequencies for phase synchronisation of distributed adaptive transmit beam- [11], [12]. forming in wireless sensor networks is presented that improves In all these implementations, a dense population of nodes the synchronisation performance. Finally, we present measure- is assumed. A large scale sensor network, however, might be ments from an instrumentation using USRP software radios at sparsely populated by nodes as additional nodes increase the various transmit frequencies and with differing network sizes. installation cost. Alternative solutions are approaches in which a synchronisation among nodes is achieved over a communica- I. INTRODUCTION tion with the remote receiver. This means that communication A much discussed topic related to wireless sensor networks among nodes is not required for synchronisation so that also is the energy consumption of nodes as this impacts the lifetime sparsely populated networks can be supported.
    [Show full text]
  • Multiple Antenna Technologies
    Multiple Antenna Technologies Manar Mohaisen | YuPeng Wang | KyungHi Chang The Graduate School of Information Technology and Telecommunications INHA University ABSTRACT the receiver. Alamouti code is considered as the simplest transmit diversity scheme while the receive diversity includes maximum ratio, equal gain and selection combining Multiple antenna technologies have methods. Recently, cooperative received high attention in the last few communication was deeply investigated as a decades for their capabilities to improve the mean of increasing the communication overall system performance. Multiple-input reliability by not only considering the multiple-output systems include a variety of mobile station as user but also as a base techniques capable of not only increase the station (or relay station). The idea behind reliability of the communication but also multiple antenna diversity is to supply the impressively boost the channel capacity. In receiver by multiple versions of the same addition, smart antenna systems can increase signal transmitted via independent channels. the link quality and lead to appreciable On the other hand, multiple antenna interference reduction. systems can tremendously increase the channel capacity by sending independent signals from different transmit antennas. I. Introduction BLAST spatial multiplexing schemes are a good example of such category of multiple Multiple antennas technologies proposed antenna technologies that boost the channel for communications systems have gained capacity. much attention in the last few years because In addition, smart antenna technique can of the huge gain they can introduce in the significantly increase the data rate and communication reliability and the channel improve the quality of wireless transmission, capacity levels. Furthermore, multiple which is limited by interference, local antenna systems can have a big contribution scattering and multipath propagation.
    [Show full text]
  • Compact Multilayer Yagi-Uda Based Antenna for Iot/5G Sensors
    sensors Article Compact Multilayer Yagi-Uda Based Antenna for IoT/5G Sensors Amélia Ramos 1,2,*, Tiago Varum 2 ID and João N. Matos 1,2 ID 1 Universidade de Aveiro, Campus Universitário de Santiago, 3810-135 Aveiro, Portugal; [email protected] 2 Instituto de Telecomunicações, Campus Universitário de Santiago, 3810-135 Aveiro, Portugal; [email protected] * Correspondence: [email protected]; Tel.: +351-234-377-900 Received: 27 July 2018; Accepted: 30 August 2018; Published: 2 September 2018 Abstract: To increase the capacity and performance of communication systems, the new generation of mobile communications (5G) will use frequency bands in the mmWave region, where new challenges arise. These challenges can be partially overcome by using higher gain antennas, Multiple-Input Multiple-Output (MIMO), or beamforming techniques. Yagi-Uda antennas combine high gain with low cost and reduced size, and might result in compact and efficient antennas to be used in Internet of Thins (IoT) sensors. The design of a compact multilayer Yagi for IoT sensors is presented, operating at 24 GHz, and a comparative analysis with a planar printed version is shown. The stacked prototype reveals an improvement of the antenna’s main properties, achieving 10.9 dBi, 2 dBi more than the planar structure. In addition, the multilayer antenna shows larger bandwidth than the planar; 6.9 GHz compared with 4.42 GHz. The analysis conducted acknowledges the huge potential of these stacked structures for IoT applications, as an alternative to planar implementations. Keywords: Yagi-Uda; multilayered antenna; millimeter-waves; IoT 1. Introduction People’s interconnection was improved by 4G, making the communication more efficient, fluent, and natural.
    [Show full text]
  • Performance Analysis of Diversity Techniques for Wireless Communication System
    1 Performance Analysis of Diversity Techniques for Wireless Communication System Md. Jaherul Islam [email protected] This Thesis is a part (30 ECTS) of Master of Science degree (120 ECTS) in Electrical Engineering emphasis on Telecommunication Blekinge Institute of Technology February 12 Blekinge Institute of Technology School of Engineering Department of Telecommunication Supervisor: Magnus G Nilsson Examiner: Magnus G Nilsson Contact: [email protected] 2 Abstract Different diversity techniques such as Maximal-Ratio Combining (MRC), Equal-Gain Combining (EGC) and Selection Combining (SC) are described and analyzed. Two branches (N=2) diversity systems that are used for pre-detection combining have been investigated and computed. The statistics of carrier to noise ratio (CNR) and carrier to interference ratio (CIR) without diversity assuming Rayleigh fading model have been examined and then measured for diversity systems. The probability of error ( ) vs CNR and ( ) versus CIR have also been obtained. The fading dynamic range of the instantaneous CNR and CIR is reduced remarkably when diversity systems are used [1]. For a certain average probability of error, a higher valued average CNR and CIR is in need for non-diversity systems [1]. But a smaller valued of CNR and CIR are compared to diversity systems. The overall conclusion is that maximal-ratio combining (MRC) achieves the best performance improvement compared to other combining methods. Diversity techniques are very useful to improve the performance of high speed wireless channel to transmit data and information. The problems which considered in this thesis are not new but I have tried to organize, prove and analyze in new ways.
    [Show full text]
  • Design of a Class of Antennas Utilizing MEMS, EBG and Septum Polarizers Including Near-Field Coupling Analysis
    UNIVERSITY OF CALIFORNIA Los Angeles Design of a Class of Antennas Utilizing MEMS, EBG and Septum Polarizers including Near-field Coupling Analysis A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Electrical Engineering by Ilkyu Kim 2012 c Copyright by Ilkyu Kim 2012 ABSTRACT OF THE DISSERTATION Design of a Class of Antennas Utilizing MEMS, EBG and Septum Polarizers including Near-field Coupling Analysis by Ilkyu Kim Doctor of Philosophy in Electrical Engineering University of California, Los Angeles, 2012 Professor Yahya Rahmat-Samii, Chair Recent developments in mobile communications have led to an increased appearance of short-range communications and high data-rate signal transmission. New technologies provides the need for an accurate near-field coupling analysis and novel antenna designs. An ability to effectively estimate the coupling within the near-field region is required to realize short-range communications. Currently, two common techniques that are applicable to the near-field coupling problem are 1) integral form of coupling formula and 2) generalized Friis formula. These formulas are investigated with an emphasis on straightforward calculation and accuracy for various distances between the two antennas. The coupling formulas are computed for a variety of antennas, and several antenna configurations are evaluated through full-wave simulation and indoor measurement in order to validate these techniques. In addition, this research aims to design multi- functional and high performance antennas based on MEMS (Microelectromechanical ii Systems) switches, EBG (Electromagnetic Bandgap) structures, and septum polarizers. A MEMS switch is incorporated into a slot loaded patch antenna to attain frequency reconfigurability.
    [Show full text]