The Wi-Fi Evolution
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Energy Efficiency in Cellular Networks
Energy Efficiency in Cellular Networks Radha Krishna Ganti Indian Institute of Technology Madras [email protected] Millions 1G 2G:100Kbps2G: ~100Kb/s 3G:~1 Mb/s 4G: ~10 Mb/s Cellular Network will connect the IOT Source:Cisco Case Study: Mobile Networks in India • India has over 400,000 cell towers today • 70%+ sites have grid outages in excess of 8 hours a day; 10% are completely off-grid • Huge dependency on diesel generator sets for power backups – India imports 3 billion liters of diesel annually to support Cell Tower, DG Set, Grid these cell sites – CO2 emission exceeds 6 million metric tons a year – Energy accounts for ~25% of network opex for telcos • As mobile services expand to remote rural areas, enormity of this problem grows 4 Power consumption breakup Core network Radio access network Mobile devices 0.1 W x 7 B = 0.7 GW 2 kW x 5M = 10 GW 10 kW x 10K = 0.1 GW *Reference: Mid-size thermal plant output 0.5 GW Source: Peng Mobicomm 2011 Base station energy consumption 1500 W 60 W Signal processing 150 W 1000 W 100 W Air conditioning Power amplifier (PA) 200 W (10-20% efficiency) Power conversion 150 W Transmit power Circuit power Efficiency of PA Spectral Efficiency: bps/Hz (Shannon) Transmit power Distance Bandwidth Cellular Standard Spectral efficiency Noise power 1G (AMPS) 0.46 Spectral density 2G (GSM) 1.3 3G (WCDMA) 2.6 4G (LTE) 4.26 Energy Efficiency: Bits per Joule 1 Km 2 Km EE versus SE for PA efficiency of 20% Current status Source: IEEE Wireless Comm. -
Data Communication and Computer Network Unit 1
Department of Collegiate Education GOVERNMENT FIRST GRADE COLLEGE RAIBAG-591317 Department of Computer Science Lecture Notes SUBJECT : DATA COMMUNICATIONS AND COMPUTER NETWORKS SUBJECT CODE : 17BScCST61 CLASS : BSC VI Sem Paper-1 Subject In charge Smt Bhagirathi Halalli Assistant Professor 2019-20 Data Communication and Computer Network Unit 1 Unit 1: Introduction Content: 1.1. Data communications, 1.2. Networks, 1.3. The internet, 1.4. Protocols and standards, 1.5. Network models – OSI model, 1.6. TCP/IP protocol suite, 1.7. Addressing. 1.1.Data Communications, Data refers to the raw facts that are collected while information refers to processed data that enables us to take decisions. Ex. When result of a particular test is declared it contains data of all students, when you find the marks you have scored you have the information that lets you know whether you have passed or failed. The word data refers to any information which is presented in a form that is agreed and accepted upon by is creators and users. Data Communication Data Communication is a process of exchanging data or information In case of computer networks this exchange is done between two devices over a transmission medium. This process involves a communication system which is made up of hardware and software. The hardware part involves the sender and receiver devices and the intermediate devices through which the data passes. The software part involves certain rules which specify what is to be communicated, how it is to be communicated and when. It is also called as a Protocol. The following sections describe the fundamental characteristics that are important for the effective working of data communication process and are followed by the components that make up a data communications system. -
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]. -
The OSI Model
Data Encapsulation & OSI & TCP/IP Models Week 2 Lecturer: Lucy White [email protected] Office : 324 1 Network Protocols • A protocol is a formal description of a set of rules and conventions that govern a particular aspect of how devices on a network communicate. Protocols determine the format, timing, sequencing, flow control and error control in data communication. Without protocols, the computer cannot make or rebuild the stream of incoming bits from another computer into the original format. • Protocols control all aspects of data communication, which include the following: - How the physical network is built - How computers connect to the network - How the data is formatted for transmission - The setting up and termination of data transfer sessions - How that data is sent - How to deal with errors 2 Protocol Suites & Industry Standard • Many of the protocols that comprise a protocol suite reference other widely utilized protocols or industry standards • Institute of Electrical and Electronics Engineers (IEEE) or the Internet Engineering Task Force (IETF) • The use of standards in developing and implementing protocols ensures that products from different manufacturers can work together for efficient communications 3 Function of Protocol in Network Communication A standard is a process or protocol that has been endorsed by the networking industry and ratified by a standards organization 4 Protocol Suites TCP/IP Protocol Suite and Communication Function of Protocol in Network Communication 6 Function of Protocol in Network Communication • Technology independent Protocols -Many diverse types of devices can communicate using the same sets of protocols. This is because protocols specify network functionality, not the underlying technology to support this functionality. -
Trade-Off Energy and Spectral Efficiency in 5G Massive MIMO System
Trade-off Energy and Spectral Efficiency in 5G Massive MIMO System Adeb Salh 1*, Nor Shahida Mohd Shah2*, Lukman Audah1, Qazwan Abdullah1, Norsaliza Abdullah3, Shipun A. Hamzah1, Abdu Saif1 1Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Parit Raja, Batu Pahat, Johor, Malaysia. 2Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia, Pagoh, Muar, Johor, Malaysia. 3Faculty of Applied Sciences and Technology, Universiti Tun Hussein Onn Malaysia, Pagoh, Muar, Johor, Malaysia. *Corresponding authors’ e-mail: [email protected], [email protected] to multiple single active users (UEs) in same time-frequency resource. The EE and SE cannot be simultaneously optimized. ABSTRACT It is still quasi-concave due to noise amplifier, a large number of antennas, and cost of hardware, which decreases the radio A massive multiple-input multiple-output (MIMO) system is frequency chains (RF) [7]-[15]. A large number of antennas in very important to optimize the trade-off energy-efficiency both linear precoder and decoder are needed to select the (EE) and spectral-efficiency (SE) in fifth-generation cellular optimal antenna to limit the noise with uncorrelated networks (5G). The challenges for the next generation depend interference. In addition, deploying more antennas causes on increasing the high data traffic in the wireless higher circuit power consumption. From the perspective of communication system for both EE and SE. In this paper, the energy-efficiency, the increasing base stations in the cellular trade-off EE and SE based on the first derivative of transmit networks reported that the total consumed energy in the whole antennas and transmit power in downlink massive MIMO network approximately 60-80% [16]-[20]. -
Logical Link Control and Channel Scheduling for Multichannel Underwater Sensor Networks
ICST Transactions on Mobile Communications and Applications Research Article Logical Link Control and Channel Scheduling for Multichannel Underwater Sensor Networks Jun Li ∗, Mylene` Toulgoat, Yifeng Zhou, and Louise Lamont Communications Research Centre Canada, 3701 Carling Avenue, Ottawa, ON. K2H 8S2 Canada Abstract With recent developments in terrestrial wireless networks and advances in acoustic communications, multichannel technologies have been proposed to be used in underwater networks to increase data transmission rate over bandwidth-limited underwater channels. Due to high bit error rates in underwater networks, an efficient error control technique is critical in the logical link control (LLC) sublayer to establish reliable data communications over intrinsically unreliable underwater channels. In this paper, we propose a novel protocol stack architecture featuring cross-layer design of LLC sublayer and more efficient packet- to-channel scheduling for multichannel underwater sensor networks. In the proposed stack architecture, a selective-repeat automatic repeat request (SR-ARQ) based error control protocol is combined with a dynamic channel scheduling policy at the LLC sublayer. The dynamic channel scheduling policy uses the channel state information provided via cross-layer design. It is demonstrated that the proposed protocol stack architecture leads to more efficient transmission of multiple packets over parallel channels. Simulation studies are conducted to evaluate the packet delay performance of the proposed cross-layer protocol stack architecture with two different scheduling policies: the proposed dynamic channel scheduling and a static channel scheduling. Simulation results show that the dynamic channel scheduling used in the cross-layer protocol stack outperforms the static channel scheduling. It is observed that, when the dynamic channel scheduling is used, the number of parallel channels has only an insignificant impact on the average packet delay. -
Physical Layer Overview
ELEC3030 (EL336) Computer Networks S Chen Physical Layer Overview • Physical layer forms the basis of all networks, and we will first revisit some of fundamental limits imposed on communication media by nature Recall a medium or physical channel has finite Spectrum bandwidth and is noisy, and this imposes a limit Channel bandwidth: on information rate over the channel → This H Hz is a fundamental consideration when designing f network speed or data rate 0 H Type of medium determines network technology → compare wireless network with optic network • Transmission media can be guided or unguided, and we will have a brief review of a variety of transmission media • Communication networks can be classified as switched and broadcast networks, and we will discuss a few examples • The term “physical layer protocol” as such is not used, but we will attempt to draw some common design considerations and exams a few “physical layer standards” 13 ELEC3030 (EL336) Computer Networks S Chen Rate Limit • A medium or channel is defined by its bandwidth H (Hz) and noise level which is specified by the signal-to-noise ratio S/N (dB) • Capability of a medium is determined by a physical quantity called channel capacity, defined as C = H log2(1 + S/N) bps • Network speed is usually given as data or information rate in bps, and every one wants a higher speed network: for example, with a 10 Mbps network, you may ask yourself why not 10 Gbps? • Given data rate fd (bps), the actual transmission or baud rate fb (Hz) over the medium is often different to fd • This is for -
Miniaturized Frequency Reconfigurable Pentagonal MIMO Slot Antenna for Interweave CR Applications
Miniaturized frequency reconfigurable pentagonal MIMO slot antenna for interweave CR applications Item Type Article Authors Hussain, Rifaqat; Raza, Ali; Khan, Muhammad U.; Shamim, Atif; Sharawi, Mohammad S. Citation Hussain R, Raza A, Khan MU, Shammim A, Sharawi MS (2019) Miniaturized frequency reconfigurable pentagonal MIMO slot antenna for interweave CR applications. International Journal of RF and Microwave Computer-Aided Engineering: e21811. Available: http://dx.doi.org/10.1002/mmce.21811. DOI 10.1002/mmce.21811 Publisher Wiley Journal International Journal of RF and Microwave Computer-Aided Engineering Download date 01/10/2021 07:53:51 Link to Item http://hdl.handle.net/10754/653090 Pentagonal Slot MIMO Reconfigurable Antenna 1 Miniaturized Frequency Reconfigurable Pentagonal MIMO Slot Antenna for Interweave CR Applications Rifaqat Hussain 1, Ali Raza 2, Muhammad U. Khan 3, Atif Shammim 4 and Mohammad S. Sharawi 5 1 Electrical Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran, 31261, Saudi Arabia, Email: [email protected]. 2 Department of Electrical Engineering, University of Engineering and Technology Lahore, Faisalabad Campus, Pakistan 3 Research Institute for Microwave and Millimeter-Wave Studies, National University of Science and Technology, Islamabad, 44000, Pakistan 4 Computer, Electrical and Mathematical Science and Engineering Division, King Abdullah University (KAUST) of Science and Technology, Thuwal 23955-6900, Saudi Arabia 5 Electrical Engineering Department, Polytechnique Montr´eal, Montreal, QC H3T 1J4, Canada, Email: [email protected] ABSTRACT: In this paper, a miniaturized 4-element frequency reconfigurable multiple- input-multiple-output (MIMO) antenna system is presented. The proposed design is low profile with planar configuration. The design consists of pentagonal slot-based frequency reconfigurable antenna elements. -
Data Networks
Second Ed ition Data Networks DIMITRI BERTSEKAS Massachusetts Institute of Technology ROBERT GALLAGER Massachusetts Institute ofTechnology PRENTICE HALL, Englewood Cliffs, New Jersey 07632 2 Node A Node B Time at B --------- Packet 0 Point-to-Point Protocols and Links 2.1 INTRODUCTION This chapter first provides an introduction to the physical communication links that constitute the building blocks of data networks. The major focus of the chapter is then data link control (i.e., the point-to-point protocols needed to control the passage of data over a communication link). Finally, a number of point-to-point protocols at the network, transport, and physical layers are discussed. There are many similarities between the point-to-point protocols at these different layers, and it is desirable to discuss them together before addressing the more complex network-wide protocols for routing, flow control, and multiaccess control. The treatment of physical links in Section 2.2 is a brief introduction to a very large topic. The reason for the brevity is not that the subject lacks importance or inherent interest, but rather, that a thorough understanding requires a background in linear system theory, random processes, and modem communication theory. In this section we pro vide a sufficient overview for those lacking this background and provide a review and perspective for those with more background. 37 38 Point-to-Point Protocols and Links Chap. 2 In dealing with the physical layer in Section 2.2, we discuss both the actual com munication channels used by the network and whatever interface modules are required at the ends of the channels to transmit and receive digital data (see Fig 2.1). -
Telematics Chapter 3: Physical Layer
Telematics User Server watching with video Chapter 3: Physical Layer video clip clips Application Layer Application Layer Presentation Layer Presentation Layer Session Layer Session Layer Transport Layer Transport Layer Network Layer Network Layer Network Layer Data Link Layer Data Link Layer Data Link Layer Physical Layer Physical Layer Physical Layer Univ.-Prof. Dr.-Ing. Jochen H. Schiller Computer Systems and Telematics (CST) Institute of Computer Science Freie Universität Berlin http://cst.mi.fu-berlin.de Contents ● Design Issues ● Theoretical Basis for Data Communication ● Analog Data and Digital Signals ● Data Encoding ● Transmission Media ● Guided Transmission Media ● Wireless Transmission (see Mobile Communications) ● The Last Mile Problem ● Multiplexing ● Integrated Services Digital Network (ISDN) ● Digital Subscriber Line (DSL) ● Mobile Telephone System Univ.-Prof. Dr.-Ing. Jochen H. Schiller ▪ cst.mi.fu-berlin.de ▪ Telematics ▪ Chapter 3: Physical Layer 3.2 Design Issues Univ.-Prof. Dr.-Ing. Jochen H. Schiller ▪ cst.mi.fu-berlin.de ▪ Telematics ▪ Chapter 3: Physical Layer 3.3 Design Issues ● Connection parameters ● mechanical OSI Reference Model ● electric and electronic Application Layer ● functional and procedural Presentation Layer ● More detailed ● Physical transmission medium (copper cable, Session Layer optical fiber, radio, ...) ● Pin usage in network connectors Transport Layer ● Representation of raw bits (code, voltage,…) Network Layer ● Data rate ● Control of bit flow: Data Link Layer ● serial or parallel transmission of bits Physical Layer ● synchronous or asynchronous transmission ● simplex, half-duplex, or full-duplex transmission mode Univ.-Prof. Dr.-Ing. Jochen H. Schiller ▪ cst.mi.fu-berlin.de ▪ Telematics ▪ Chapter 3: Physical Layer 3.4 Design Issues Transmitter Receiver Source Transmission System Destination NIC NIC Input Abcdef djasdja dak jd ashda kshd akjsd asdkjhasjd as kdjh askjda Univ.-Prof. -
Radio Communications in the Digital Age
Radio Communications In the Digital Age Volume 1 HF TECHNOLOGY Edition 2 First Edition: September 1996 Second Edition: October 2005 © Harris Corporation 2005 All rights reserved Library of Congress Catalog Card Number: 96-94476 Harris Corporation, RF Communications Division Radio Communications in the Digital Age Volume One: HF Technology, Edition 2 Printed in USA © 10/05 R.O. 10K B1006A All Harris RF Communications products and systems included herein are registered trademarks of the Harris Corporation. TABLE OF CONTENTS INTRODUCTION...............................................................................1 CHAPTER 1 PRINCIPLES OF RADIO COMMUNICATIONS .....................................6 CHAPTER 2 THE IONOSPHERE AND HF RADIO PROPAGATION..........................16 CHAPTER 3 ELEMENTS IN AN HF RADIO ..........................................................24 CHAPTER 4 NOISE AND INTERFERENCE............................................................36 CHAPTER 5 HF MODEMS .................................................................................40 CHAPTER 6 AUTOMATIC LINK ESTABLISHMENT (ALE) TECHNOLOGY...............48 CHAPTER 7 DIGITAL VOICE ..............................................................................55 CHAPTER 8 DATA SYSTEMS .............................................................................59 CHAPTER 9 SECURING COMMUNICATIONS.....................................................71 CHAPTER 10 FUTURE DIRECTIONS .....................................................................77 APPENDIX A STANDARDS -
An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems
1 An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems Robert W. Heath Jr., Nuria Gonzalez-Prelcic, Sundeep Rangan, Wonil Roh, and Akbar Sayeed Abstract Communication at millimeter wave (mmWave) frequencies is defining a new era of wireless com- munication. The mmWave band offers higher bandwidth communication channels versus those presently used in commercial wireless systems. The applications of mmWave are immense: wireless local and personal area networks in the unlicensed band, 5G cellular systems, not to mention vehicular area networks, ad hoc networks, and wearables. Signal processing is critical for enabling the next generation of mmWave communication. Due to the use of large antenna arrays at the transmitter and receiver, combined with radio frequency and mixed signal power constraints, new multiple-input multiple-output (MIMO) communication signal processing techniques are needed. Because of the wide bandwidths, low complexity transceiver algorithms become important. There are opportunities to exploit techniques like compressed sensing for channel estimation and beamforming. This article provides an overview of signal processing challenges in mmWave wireless systems, with an emphasis on those faced by using MIMO communication at higher carrier frequencies. I. INTRODUCTION The millimeter wave (mmWave) band is the frontier for commercial – high volume consumer – wireless communication systems [1]. MmWave makes use of spectrum from 30 GHz to 300 GHz whereas most arXiv:1512.03007v1 [cs.IT] 9 Dec 2015 R. W. Heath Jr. is with The University of Texas at Austin, Austin, TX, USA (email: [email protected]). Nuria Gonzalez- Prelcic is with the University of Vigo, Spain, (email: [email protected]).