Satellite Communication Channel Characteristics Multiplexing and Multiple Access
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Vision-Based Mobile Free-Space Optical Communications Kyle Cavorley, Wayne Chang, Jonathan Giordano, Taichi Hirao Advisor: Prof
Vision-Based Mobile Free-Space Optical Communications Kyle Cavorley, Wayne Chang, Jonathan Giordano, Taichi Hirao Advisor: Prof. Daut Abstract Methodology The implementation of a free-space optical (FSO) communication system capable of interfacing with moving receivers such as unmanned ground or aerial vehicles. Two way communication Inexpensive laser diodes are used to transmit data at rates of up to 1 Mbps. A computer vision and tracking system controls a pan-tilt platform for target Transmit side Receive side acquisition and tracking. Complex package components, suchs as a laser driver and photo receiver, are avoided when possible to study the design of low-level system components. A two way communication system is made possible utilizing a reflective optical chopper (ROC) at the receiver end. Motivations and Objectives Motivations: -High power efficiency with high throughput Fig. 2: Photodiode Amplifier and Comparator Circuit. Fig. 4: Laser Diode Driver Circuit. -Increased security Objectives: -Construct optical communication link capable of 1 Mbps at thirty feet range -Form and maintain two way optical communication channel -Build computer vision tracking system and platform Fig. 6: Boston Micromachines Reflective Optical Chopper (ROC); used in two-way communication Fig. 3: Output Response of photodiode Fig. 5: Schmitt Trigger Circuit. Only one end of the communication link amplifier/comparator. requires a visual tracking/laser targeting system. Results ❑ 2 Mhz signal successfully transmitted 14 feet using 5 mW 670 nm laser. ❑ AD8030 Op-amp used to amplify photodiode response signal from a range [60 mV, 1 V] to 5V before entering comparator that generates a TTL output. Fig. 1: Vision Based FSO Communication Block Diagram. -
Unit 7: Choosing Communication Channels
UNIT 7: CHOOSING COMMUNICATION CHANNELS Unit 7 highlights the importance of selecting an appropriate channel mix for a communication response and describes five categories of communication channels: mass media, mid media, print media, social and digital media and interpersonal communication (IPC). For each of these channels, advantages and disadvantages have been listed, as well as situations in which different channels may be used. Although this Unit has attempted to differentiate the channels and their uses for simplicity, there is recognition that channels frequently overlap and may be effective for achieving similar objectives. This is why the match between channel, audience and communication objective is important. This unit provides some tools to help assess available and functioning channels during an emergency, as well as those that are more appropriate for reaching specific audience segments. Once you have completed this unit, you will have the following tools to support the development of your SBCC response: • Worksheet 7.1: Assessing Available Communication Channels • Worksheet 7.2: Matching Communication Channels to Primary and Influencing Audiences What Is a Communication Channel? A communication channel is a medium or method used to deliver a message to the intended audience. A variety of communication channels exist, and examples include: • Mass media such as television, radio (including community radio) and newspapers • Mid media activities, also known as traditional or folk media such as participatory theater, public talks, announcements through megaphones and community-based surveillance • Print media, such as posters, flyers and leaflets • Social and digital media such as mobile phones, applications and social media • IPC, such as door-to-door visits, phone lines and discussion groups Different channels are appropriate for different audiences, and the choice of channel will depend on the audience being targeted, the messages being delivered and the context of the emergency. -
Modeling and Simulation of an Asynchronous Digital Subscriber Line Transceiver Data Transmission Subsystem
Modeling and Simulation of an Asynchronous Digital Subscriber Line Transceiver Data Transmission Subsystem Elmustafa Erwa ABSTRACT Recently, there has been an increase in demand for digital services provided over the public telephone line network. Asymmetric digital subscriber line (ADSL) transmit high bit rate data in the forward direction to the subscriber, and lower bit rate data in the reverse direction to the central office, both on a single copper telephone loop. I implemented a Synchronous Dataflow (SDF) model for an ADSL transceiver’s data transmission subsystem in LabVIEW. My implementation enables designers to simulate and optimize different ADSL transceiver designs. The overall implementation is compliant with the European Telecommunications Standards Institute’s ADSL specification. 1. INTRODUCTION With the emergence of the Internet as the cornerstone of communications in this age, the demand for high speed Internet access has only been increasing. Asymmetric digital subscriber lines (ADSL) is one of the technologies that provide high-speed Internet access in residences and offices [1]. It facilitates the use of normal telephone services, Integrated Services Digital Network (ISDN), and high-speed data transmission simultaneously. Hence, bandwidth-demanding technologies, such as video-conferencing and video-on-demand, are enabled over ordinary telephone lines. ADSL standards use discrete multi-tone (DMT) modulation [2]. DMT divides the effectively bandlimited communication channel into a larger number of orthogonal narrowband subchannels. This allows for maximizing the transmitted bit rate and adapting to changing line conditions. Designing ADSL systems is inherently complex. However, advances in the digital signal processor (DSP) technology allowed programmable DSP based solutions to replace application-specific integrated circuit based implementations. -
Spread Spectrum and Wi-Fi Basics Syed Masud Mahmud, Ph.D
Spread Spectrum and Wi-Fi Basics Syed Masud Mahmud, Ph.D. Electrical and Computer Engineering Dept. Wayne State University Detroit MI 48202 Spread Spectrum and Wi-Fi Basics by Syed M. Mahmud 1 Spread Spectrum Spread Spectrum techniques are used to deliberately spread the frequency domain of a signal from its narrow band domain. These techniques are used for a variety of reasons such as: establishment of secure communications, increasing resistance to natural interference and jamming Spread Spectrum and Wi-Fi Basics by Syed M. Mahmud 2 Spread Spectrum Techniques Frequency Hopping Spread Spectrum (FHSS) Direct -Sequence Spread Spectrum (DSSS) Orthogonal Frequency-Division Multiplexing (OFDM) Spread Spectrum and Wi-Fi Basics by Syed M. Mahmud 3 The FHSS Technology FHSS is a method of transmitting signals by rapidly switching channels, using a pseudorandom sequence known to both the transmitter and receiver. FHSS offers three main advantages over a fixed- frequency transmission: Resistant to narrowband interference. Difficult to intercept. An eavesdropper would only be able to intercept the transmission if they knew the pseudorandom sequence. Can share a frequency band with many types of conventional transmissions with minimal interference. Spread Spectrum and Wi-Fi Basics by Syed M. Mahmud 4 The FHSS Technology If the hop sequence of two transmitters are different and never transmit the same frequency at the same time, then there will be no interference among them. A hopping code determines the frequencies the radio will transmit and in which order. A set of hopping codes that never use the same frequencies at the same time are considered orthogonal . -
2 the Wireless Channel
CHAPTER 2 The wireless channel A good understanding of the wireless channel, its key physical parameters and the modeling issues, lays the foundation for the rest of the book. This is the goal of this chapter. A defining characteristic of the mobile wireless channel is the variations of the channel strength over time and over frequency. The variations can be roughly divided into two types (Figure 2.1): • Large-scale fading, due to path loss of signal as a function of distance and shadowing by large objects such as buildings and hills. This occurs as the mobile moves through a distance of the order of the cell size, and is typically frequency independent. • Small-scale fading, due to the constructive and destructive interference of the multiple signal paths between the transmitter and receiver. This occurs at the spatialscaleoftheorderofthecarrierwavelength,andisfrequencydependent. We will talk about both types of fading in this chapter, but with more emphasis on the latter. Large-scale fading is more relevant to issues such as cell-site planning. Small-scale multipath fading is more relevant to the design of reliable and efficient communication systems – the focus of this book. We start with the physical modeling of the wireless channel in terms of elec- tromagnetic waves. We then derive an input/output linear time-varying model for the channel, and define some important physical parameters. Finally, we introduce a few statistical models of the channel variation over time and over frequency. 2.1 Physical modeling for wireless channels Wireless channels operate through electromagnetic radiation from the trans- mitter to the receiver. -
F. Circuit Switching
CSE 3461: Introduction to Computer Networking and Internet Technologies Circuit Switching Presentation F Study: 10.1, 10.2, 8 .1, 8.2 (without SONET/SDH), 8.4 10-02-2012 A Closer Look At Network Structure: • network edge: applications and hosts • network core: —routers —network of networks • access networks, physical media: communication links d. xuan 2 1 The Network Core • mesh of interconnected routers • the fundamental question: how is data transferred through net? —circuit switching: dedicated circuit per call: telephone net —packet-switching: data sent thru net in discrete “chunks” d. xuan 3 Network Layer Functions • transport packet from sending to receiving hosts application transport • network layer protocols in network data link network physical every host, router network data link network data link physical data link three important functions: physical physical network data link • path determination: route physical network data link taken by packets from source physical to dest. Routing algorithms network network data link • switching: move packets from data link physical physical router’s input to appropriate network data link application router output physical transport network data link • call setup: some network physical architectures require router call setup along path before data flows d. xuan 4 2 Network Core: Circuit Switching End-end resources reserved for “call” • link bandwidth, switch capacity • dedicated resources: no sharing • circuit-like (guaranteed) performance • call setup required d. xuan 5 Circuit Switching • Dedicated communication path between two stations • Three phases — Establish (set up connection) — Data Transfer — Disconnect • Must have switching capacity and channel capacity to establish connection • Must have intelligence to work out routing • Inefficient — Channel capacity dedicated for duration of connection — If no data, capacity wasted • Set up (connection) takes time • Once connected, transfer is transparent • Developed for voice traffic (phone) g. -
Designing Asymmetric Digital Subscriber Line with Discrete Multitone Modulator
ISSN (Online) 2321-2004 IJIREEICE ISSN (Print) 2321-5526 International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering Vol. 7, Issue 11, November 2019 Designing Asymmetric Digital Subscriber Line with Discrete Multitone Modulator Attiq Ul Rehman1, Maninder Singh2 M. Tech., Student, ECE Department, Haryana Engineering College, Jagadhri, Haryana, India1 Assistant Professor, ECE Department, Haryana Engineering College, Jagadhri, Haryana, India2 Abstract: The objective of Digital Subscriber Line (DSL) is to propagate signal from the transmitter to the receiver over telephone lines. In communication industry Asymmetric Digital Subscriber Line (ADSL) is widely used because it can handle both phone services and internet access services at same time. As the communication industry develops, its main concern is to maximize the user handling capacity of communication systems. For this purpose, ADSL uses Discrete Multitone (DMT) modulator with QAM bank. But as the number of users increases the system complexity and interference also increases. The communication channel is not free from the effects of channel impairments such as noise, interference and fading. These channel impairments caused signal distortion and Signal to Ratio (SNR) degradation. One method that can be implemented to overcome this problem is by introducing channel coding. Channel encoding is applied by adding redundant bits to the transmitted data. The redundant bits increase raw data used in the link and therefore, increase the bandwidth requirement. So, if noise or fading occurred in the channel, some data may still be recovered at the receiver. While at the receiver, channel decoding is used to detect or correct errors that are introduced to the channel. -
The Wireless Communication Channel Objectives
9/9/2008 The Wireless Communication Channel muse Objectives • Understand fundamentals associated with free‐space propagation. • Define key sources of propagation effects both at the large‐ and small‐scales • Understand the key differences between a channel for a mobile communications application and one for a wireless sensor network muse 1 9/9/2008 Objectives (cont.) • Define basic diversity schemes to mitigate small‐scale effec ts • Synthesize these concepts to develop a link budget for a wireless sensor application which includes appropriate margins for large‐ and small‐scale pppgropagation effects muse Outline • Free‐space propagation • Large‐scale effects and models • Small‐scale effects and models • Mobile communication channels vs. wireless sensor network channels • Diversity schemes • Link budgets • Example Application: WSSW 2 9/9/2008 Free‐space propagation • Scenario Free-space propagation: 1 of 4 Relevant Equations • Friis Equation • EIRP Free-space propagation: 2 of 4 3 9/9/2008 Alternative Representations • PFD • Friis Equation in dBm Free-space propagation: 3 of 4 Issues • How useful is the free‐space scenario for most wilireless syst?tems? Free-space propagation: 4 of 4 4 9/9/2008 Outline • Free‐space propagation • Large‐scale effects and models • Small‐scale effects and models • Mobile communication channels vs. wireless sensor network channels • Diversity schemes • Link budgets • Example Application: WSSW Large‐scale effects • Reflection • Diffraction • Scattering Large-scale effects: 1 of 7 5 9/9/2008 Modeling Impact of Reflection • Plane‐Earth model Fig. Rappaport Large-scale effects: 2 of 7 Modeling Impact of Diffraction • Knife‐edge model Fig. Rappaport Large-scale effects: 3 of 7 6 9/9/2008 Modeling Impact of Scattering • Radar cross‐section model Large-scale effects: 4 of 7 Modeling Overall Impact • Log‐normal model • Log‐normal shadowing model Large-scale effects: 5 of 7 7 9/9/2008 Log‐log plot Large-scale effects: 6 of 7 Issues • How useful are large‐scale models when WSN lin ks are 10‐100m at bt?best? Fig. -
Telecommunication Through Broadband Services of Bsnl: a Bird’S Eye View
International Journal of Technical Research and Applications e-ISSN: 2320-8163, www.ijtra.com Volume 1, Issue 2 (may-june 2013), PP. 37-41 TELECOMMUNICATION THROUGH BROADBAND SERVICES OF BSNL: A BIRD’S EYE VIEW Dr Shilpi Verma Assistant Professor Deptt. of Library & information Science (School for Information Science & Technology) Babasaheb Bhimrao Ambedkar University (A Central University) Vidya Vihar, Rai-bareli Road Lucknow-226025 (UP) Abstract: In the cut throat competition every country telecommunication technologies are playing very vital want to be information equipped, the role. The consumers or users are demanding for faster and telecommunication is helping a lot in achieving the reliable bandwidth for purpose of e-commerce, same. Integrated communication is emerged as a boom videoconferencing, information retrieval and such other in communication world. The growth of data, applications. Broadband seems as a answer to these communication market and the networking questions. Broadband provides means of accessing technology trend has amplified the importance of technologies to bridge the customer & the service telecommunication in the field of information provider throughout the world. It basically provides high communication. Telecommunication has become one speed internet access, whereas the dial up connections of the very important part that is very essential to the was having their limitations and low speed. These socio-economic well being of any nation. The paper broadband services allow the user to send or receive video deals with concept of Broad band services of BSNL, or audio digital content and having real time features also. technology options for broadband services. Bharat It is able to provide interactive services. -
MIMO Technology in Wifi Systems
MIMO in WiFi Systems Rohit U. Nabar Smart Antenna Workshop Aug. 1, 2014 WiFi • Local area wireless technology that allows communication with the internet using 2.4 GHz or 5 GHz radio waves per IEEE 802.11 • Proliferation in the number of devices that use WiFi today: smartphones, tablets, digital cameras, video-game consoles, TVs, etc • Devices connect to the internet via wireless network access point (AP) Advantages • Allows convenient setup of local area networks without cabling – rapid network connection and expansion • Deployed in unlicensed spectrum – no regulatory approval required for individual deployment • Significant competition between vendors has driven costs lower • WiFi governed by a set of global standards (IEEE 802.11) – hardware compatible across geographical regions WiFi IC Shipment Growth 1.25x 15x Cumulative WiFi Devices in Use Data by Local Access The IEEE 802.11 Standards Family Standard Year Ratified Frequency Modulation Channel Max. Data Band Bandwidth Rate 802.11b 1999 2.4 GHz DSSS 22MHz 11 Mbps 802.11a 1999 5 GHz OFDM 20 MHz 54 Mbps 802.11g 2003 2.4 GHz OFDM 20 MHz 54 Mbps 802.11n 2009 2.4/5 GHz MIMO- 20,40 MHz 600 Mbps OFDM 802.11ac 2013 5 GHz MIMO- 20, 40, 80, 6.93 Gbps OFDM 160 MHz 802.11a/ac PHY Comparison 802.11a 802.11ac Modulation OFDM MIMO-OFDM Subcarrier spacing 312.5 KHz 312.5 KHz Symbol Duration 4 us (800 ns guard interval) 3.6 us (400 ns guard interval) FFT size 64 64(20 MHz)/512 (160 MHz) FEC BCC BCC or LDPC Coding rates 1/2, 2/3, 3/4 1/2, 2/3, 3/4, 5/6 QAM BPSK, QPSK, 16-,64-QAM BPSK, QPSK, 16-,64-,256- QAM Factors Driving the Data Rate Increase 6.93 Gbps QAM 802.11ac (1.3x) FEC rate (1.1x) MIMO (8x) 802.11a Bandwidth (8x) 54 Mbps 802.11 Medium Access Control (MAC) Contention MEDIUM BUSY DIFS PACKET Window • Carrier Sense Multiple Access/Collision Avoidance (CSMA/CA) • A wireless node that wants to transmit performs the following sequence 1. -
Multiple Access Techniques for 4G Mobile Wireless Networks Dr Rupesh Singh, Associate Professor & HOD ECE, HMRITM, New Delhi
International Journal of Engineering Research and Development e-ISSN: 2278-067X, p-ISSN: 2278-800X, www.ijerd.com Volume 5, Issue 11 (February 2013), PP. 86-94 Multiple Access Techniques For 4G Mobile Wireless Networks Dr Rupesh Singh, Associate Professor & HOD ECE, HMRITM, New Delhi Abstract:- A number of new technologies are being integrated by the telecommunications industry as it prepares for the next generation mobile services. One of the key changes incorporated in the multiple channel access techniques is the choice of Orthogonal Frequency Division Multiple Access (OFDMA) for the air interface. This paper presents a survey of various multiple channel access schemes for 4G networks and explains the importance of these schemes for the improvement of spectral efficiencies of digital radio links. The paper also discusses about the use of Multiple Input/Multiple Output (MIMO) techniques to improve signal reception and to combat the effects of multipath fading. A comparative performance analysis of different multiple access schemes such as Time Division Multiple Access (TDMA), FDMA, Code Division Multiple Access (CDMA) & Orthogonal Frequency Division Multiple Access (OFDMA) is made vis-à-vis design parameters to highlight the advantages and limitations of these schemes. Finally simulation results of implementing some access schemes in MATLAB are provided. I. INTRODUCTION 4G (also known as Beyond 3G), an abbreviation of Fourth-Generation, is used for describing the next complete evolution in wireless communications. A 4G system will be a complete replacement for current networks and will be able to provide a comprehensive and secure IP solution. Here, voice, data, and streamed multimedia can be given to users on an "Anytime, Anywhere" basis, and at much higher data rates than the previous generations [1], [2], [3]. -
Multiplexing and Sampling Theory
Multiplexing and Sampling Theory THE ECONOMY OF MULTIPLEXING contact type determine its current carrying capacity. For instance, laboratory instrument relays typically switch Sampled-Data Systems up to 3A, while industrial applications use larger relays An ideal data acquisition system uses a single ADC for to switch higher currents, often 5 to 10A. each measurement channel. In this way, all data are captured in parallel and events in each channel can be Solid-state switches, on the other hand, are much faster compared in real time. But using a multiplexer, Figure than relays and can reach sampling rates of several MHz. 3.01, that switches among the inputs of multiple chan- However, these devices can’t handle inputs higher than nels and drives a single ADC can substantially reduce 25V, and they are not well suited for isolated applica- the cost of a system. This approach is used in so-called tions. Moreover, solid-state devices are typically limited sampled-data systems. The higher the sample rate, the to handling currents of only one mA or less. closer the system mimics the ideal data acquisition system. But only a few specialized data acquisition Another characteristic that varies between mechani- systems require sample rates of extraordinary speed. cal relays and solid-state switches is called ON resis- Most applications can cope with the more modest tance. An ideal mechanical switch or relay contact sample rates typically offered by mainstream data pair has zero ON resistance. But real devices such acquisition systems. as common reed-relay contacts are 0.010 W or less, a quality analog switch can be 10 to 100 W, and an Solid State Switches vs.