Home > Articles > Networking > Wireless/High Speed/Optical

This chapter is from the book

This chapter is from the book

System Description

What Is a Wireless System?

In the most general sense, a wireless system is any collection of elements (or subsystems) that operate interdependently and use unguided electromagnetic-wave propagation to perform some specified function(s). Some examples of systems that fit this definition are

  • Systems that convey information between two or more locations, such as personal communication systems (PCS), police and fire department radio systems, commercial broadcast systems, satellite broadcast systems, telemetry and remote monitoring systems
  • Systems that sense the environment and/or objects in the environment, including radar systems that may be used for detecting the presence of objects in some region or volume of the environment and measuring their relative motion and/or position, systems for sensing or measuring atmospheric conditions, and systems for mapping the surface of the Earth or planets
  • Systems that aid in navigation or determine the location of an object on the Earth or in space

Each of these systems contains at least one transmitting antenna and at least one receiving antenna. In the abstract, an antenna may be thought of as any device that converts a guided signal, such as a signal in an electrical circuit or transmission line, into an unguided signal propagating in space, or vice versa. We note in passing that some systems do not need to transmit and receive simultaneously. For example, the WiFi local area network computer interface uses a single antenna that is switched between transmitter and receiver. Specifically, a pulse of energy is transmitted, after which the antenna is switched to a receiver to detect the response from the network access point.

As the examples show, some systems may be used to convey information, whereas others may be used to extract information about the environment based on how the transmitted signal is modified as it traverses the path between transmitting and receiving antennas. In either case, the physical and electromagnetic environment in the neighborhood of the path may significantly modify the signal. We define a channel as the physical and electromagnetic environment surrounding and connecting the endpoints of the transmission path, that is, surrounding and connecting the system's transmitter and receiver. A channel may consist of wires, waveguide and coaxial cable, fiber, the Earth's atmosphere and surface, free space, and so on. When a wireless system is used to convey information between endpoints, the environment often corrupts the signal in an unpredictable1 way and impairs the system's ability to extract the transmitted information accurately at a receiving end. Therein lies a major difference between wired and wireless systems. To provide a little further insight, we compare some of these differences.

The signal environment or channel characteristics of a single-link wired system are rather benign.

  • At any instant of time, the path between endpoints is well known and many of its degrading effects upon a signal can be measured and compensated for.
  • Signal dropout (signal loss), momentary or otherwise, is very rare.
  • Random effects such as "thermal noise" and "interference" are fairly predictable and controllable and therefore less likely to corrupt the signal to the extent of unintelligibility.
  • The signal environment does not change or changes very slowly with time.
  • The endpoints do not move.

In contrast, the signal environment of a wireless system is hostile.

  • The direction of the signal cannot be completely controlled, and the path between endpoints is not unique.
  • The path between endpoints is time-varying.
  • Signal dropouts are frequent.
  • Noise and interference levels are often difficult to predict and time-varying.
  • Objects in the path between and surrounding the endpoints affect the signal level and its content.
  • Variations in the signal environment change with geographic location, seasons, and weather.
  • For mobile systems, as in cellular and PCS systems, at least one of the endpoints may be moving at an unknown and sometimes significant speed.

As an everyday example, the differences between wired and wireless systems may be compared to the difference between carrying on a conversation with someone in the environment of your living room versus conversing in the environment of a busy airport runway. The same principles of communication theory apply to the design of both wired and wireless communication systems. In addition to those specific functions associated with the unguided propagation of signals, however, the most profound differences between the implementations of wired and wireless communication systems relate to overcoming the signal impairments introduced by a changing wireless channel and, for mobile systems, compensating for the possible motion of the endpoints.

In addition to providing the fundamental basis for the design of wireless communication systems, the principles of communication theory, RF engineering, and propagation in real-world environments also apply to a host of other applications. As examples, these principles apply to a multitude of radar applications, including object or target detection, location and ranging, speed/velocity measurement, terrain mapping, weather monitoring, and navigation. In fact, many of the techniques used to develop modern personal communication systems were originally developed and proved for radar applications. In contrast to wireless communication systems that convey information between endpoints, radar systems analyze the way transmitted signals are reflected and modified by the presence of objects or variations along the signal path to extract information about the objects or the environment that the signal traverses. As a simple example, consider that a narrow pulsed-RF signal is transmitted in a given direction. Objects within the transmission path reflect some fraction of the signal incident upon them. If a receiver colocated with the transmitter detects an approximate replica of the transmitted signal sometime after the transmitted signal is sent, it is reasonable to assume that an object is located in the direction of transmission and the distance to the object is proportional to the time delay between transmitted and received signals. If no signal is detected within a specified period of time, it is assumed that there are no reflecting objects in the path of the signal, over a given range.

Clearly our general definition of a wireless system fits a vast range of seemingly unrelated applications. It is profoundly important, however, to recognize that all of these applications are founded on a common set of enabling principles and technologies encompassing communication theory, RF engineering, and RF propagation. Although the focus of this text is personal communication systems, the principles and techniques to be presented provide a strong foundation for study of other wireless system applications.

General Architecture, Basic Concepts, and Terminology

At a high level, every communication system is described by a common block diagram. In this section we present a basic functional description of each of the blocks to introduce some of the terminology of wireless systems and to help motivate later discussion of each of the functions.

We begin by considering the general block diagram of a wireless system for a generic application as shown in Figure 1.1. Many of the blocks and their functions apply to both wired and wireless communication systems. Note, however, that the blocks contained within the dashed outline are fundamental and necessary to wireless systems. With the exception of the antennas, all of the remaining blocks may also be found in wired system applications.

Figure 1.1

Figure 1.1 A Wireless System

The box labeled "Information Source" includes all functions necessary to produce an electrical signal that adequately represents the actual information to be communicated between end users. The term end user refers to a person or device that is the source or recipient (sink) of the information to be communicated. The term endpoint refers to the location of the transmitters and receivers in the communication path. End users may or may not be colocated with the endpoints. The functions of the Information Source box might include

  • Creation of an analog waveform representing speech derived from a microphone, or creation of a digital bit stream resulting from sampling of an analog waveform
  • Formatting digital information such as data, text, sampled audio, images, video, and so forth

The signals from information sources are typically bandlimited; that is, they contain frequencies from DC (or near DC) to some nominal cutoff frequency. They are termed baseband signals.

The box labeled "Signal Processing" encompasses all operations necessary to convert information signals into waveforms designed to maximize system performance. Signals may be processed to increase capacity, throughput, intelligibility, and accuracy and to provide other auxiliary functions. In modern wireless systems, many of the signal-processing functions are aimed at improving signal reception by mitigating the corrupting effects of the transmission medium or environment. Signal-processing functions on the transmitting end may include

  • Converting analog signals to digital signals of a specific type
  • Shaping signals to minimize the corrupting effects of the environment or transmission medium
  • Compressing and coding signals to remove redundancies and improve throughput
  • Coding signals to aid in the detection and correction of errors caused by the environment
  • Encryption of signals for privacy
  • Multiplexing information from several sources to fully utilize the channel bandwidth
  • Adding information that simplifies or enhances access and control for the endpoints or end users

Signal processing may also include digital modulation, a technique used to spread the signal spectrum by coding one or more bits into a substantially longer bit stream. We will say more about digital spread spectrum and its benefits in a later chapter.

Signal processing, especially digital signal processing (DSP), has dramatically enabled rapid advances in the state of the art of communications in general and wireless personal communications in particular. The majority of topics to be covered in this text, as in any text on modern communications, will focus on some aspect of signal processing.

The efficient radiation of an electrical signal as an electromagnetic wave requires that the physical size of the antenna be comparable in size to the wavelength of the signal. This is also true for the reception of such an electromagnetic wave. This physical limitation renders the radiation of baseband signals impractical. As an example, consider the size requirement for radiating a 10 kHz signal. Recall from basic physics that the wavelength of a signal is related to its frequency by

Equation 1-1

ch01_eqn_1.gif

where c is the speed of light in free space, 3 x 108 m/s. The wavelength of a 10 kHz signal is about 98,000 feet. If a typical quarter-wavelength (l/4) antenna were used, it would be 24,600 feet or 4.7 miles in length. In contrast, l/4 antennas in the cellular (900 MHz) or PCS (2 GHz) bands are 3.3 inches and 1.5 inches long, respectively. For this reason, practical wireless systems employ high-frequency or radio frequency sinusoidal signals called carriers to transport (or carry) information between endpoints.

The laws and regulations of the countries in which the systems are to be deployed govern and constrain the radiation of electromagnetic waves. Various frequency bands are allocated by law for specific applications; for example, there are AM, FM, and TV broadcast bands; public safety bands; airport communication, radar, traffic control, and maritime applications bands; and others. Furthermore, the laws may regulate transmitted power, transmitted spectrum and spectrum characteristics, modulation method, geographic location, tower height, and so on. Figure 1.2 shows some of the spectrum allocations in the ultra-high-frequency (UHF) band from 300 MHz to 3 GHz. A detailed chart of spectrum allocations in the United States is available from the National Telecommunications and Information Administration (NTIA).2 In the United States, the Federal Communications Commission (FCC) is the agency entrusted with the responsibility for administering the use of the radio spectrum, granting licenses, and working with government and private industry to develop fair and equitable regulatory rules and standards.

Figure 1.2

Figure 1.2 Some Spectrum Allocations in the UHF Band (January 2008)

Information signals are imposed upon a carrier signal by modulating (varying) its amplitude, frequency, and/or phase in direct relation to the variations of the information signal. At the receiving end, an information signal is extracted from the carrier by a process of demodulation. The boxes labeled "Modulation" and "Demodulation" refer to any of a wide range of techniques that may be used to impose/extract an information signal upon/from a carrier. As we will discuss later, the choice of modulation scheme is strongly influenced by a number of factors, including available frequency spectrum, spectrum rules and regulations, required throughput, channel characteristics, and QoS requirements. In the context of a wireless system (or a "broadband" wired system that employs coaxial cable, waveguide, or fiber as a transmission medium), a modulator translates the spectrum of a baseband signal to a bandpass spectrum centered about some high "radio" frequency appropriate for the intended application and consistent with spectrum regulations.

Many wired systems (for example, "plain old telephone service" [POTS]) use transmission media that allow the system to operate effectively at baseband. For such systems, a modulator translates an information signal into waveforms (sometimes called line codes) that are optimized for the given transmission medium and application. For example, a line code may convert a binary bit stream (1s and 0s) into a bipolar or multilevel voltage waveform, or it may convert a bit stream to positive and negative voltage transitions.

For wireless systems, a transmitter is essentially an RF power amplifier and appropriate bandpass filter. A transmitter drives a transmitting antenna (often through a coaxial cable or waveguide) and ensures that the modulated RF signal is radiated at a power level, and within a bandwidth, specific to the application and applicable regulations. Wired systems, on the other hand, often use transmitters termed line drivers that ensure that transmitted signals have sufficient energy to overcome the line losses in the path to the receiving end.

The power intercepted and absorbed by a receiving antenna is usually much lower than the transmitted power. For example, when a cellular base station transmits with a power of one watt, the received signal two miles away may be only a few tenths of a nanowatt. In fact, a receiver may be located so far from the transmitter that the signal level is comparable to system noise. System noise is a random signal that arises from a number of sources such as galactic radiation, engine ignitions, and the very devices used to amplify a received signal. In particular, we will discuss thermal noise, which is a random signal arising from the thermal agitation of electrons in the receiving antenna and its downstream interconnections and circuitry. The difference between transmitted and received power is inversely related to the distance (raised to some power) between the transmitting and receiving antennas and is termed path loss.

A receiver is essentially an amplifier designed to optimally reproduce the transmitted signal and remove the carrier. As such, a receiver is matched to the characteristics of the transmitted signal. Receivers usually employ high-gain, low-loss front-end amplifiers that are designed to minimize the level of thermal noise that they will pass to downstream functional blocks.

Signal processing on the receiving end seeks to restore the signal originating at the source. It converts the signal from the receiver into the form required for the endpoint recipient, that is, the Information Sink. In modern digital communication systems, signal processing at the receiving end is aimed at the reliable detection of bits. This may include error detection and correction, depending on the coding used to transmit the original signal, and also may include digital demodulation of a spread-spectrum signal.

InformIT Promotional Mailings & Special Offers

I would like to receive exclusive offers and hear about products from InformIT and its family of brands. I can unsubscribe at any time.

Overview


Pearson Education, Inc., 221 River Street, Hoboken, New Jersey 07030, (Pearson) presents this site to provide information about products and services that can be purchased through this site.

This privacy notice provides an overview of our commitment to privacy and describes how we collect, protect, use and share personal information collected through this site. Please note that other Pearson websites and online products and services have their own separate privacy policies.

Collection and Use of Information


To conduct business and deliver products and services, Pearson collects and uses personal information in several ways in connection with this site, including:

Questions and Inquiries

For inquiries and questions, we collect the inquiry or question, together with name, contact details (email address, phone number and mailing address) and any other additional information voluntarily submitted to us through a Contact Us form or an email. We use this information to address the inquiry and respond to the question.

Online Store

For orders and purchases placed through our online store on this site, we collect order details, name, institution name and address (if applicable), email address, phone number, shipping and billing addresses, credit/debit card information, shipping options and any instructions. We use this information to complete transactions, fulfill orders, communicate with individuals placing orders or visiting the online store, and for related purposes.

Surveys

Pearson may offer opportunities to provide feedback or participate in surveys, including surveys evaluating Pearson products, services or sites. Participation is voluntary. Pearson collects information requested in the survey questions and uses the information to evaluate, support, maintain and improve products, services or sites, develop new products and services, conduct educational research and for other purposes specified in the survey.

Contests and Drawings

Occasionally, we may sponsor a contest or drawing. Participation is optional. Pearson collects name, contact information and other information specified on the entry form for the contest or drawing to conduct the contest or drawing. Pearson may collect additional personal information from the winners of a contest or drawing in order to award the prize and for tax reporting purposes, as required by law.

Newsletters

If you have elected to receive email newsletters or promotional mailings and special offers but want to unsubscribe, simply email information@informit.com.

Service Announcements

On rare occasions it is necessary to send out a strictly service related announcement. For instance, if our service is temporarily suspended for maintenance we might send users an email. Generally, users may not opt-out of these communications, though they can deactivate their account information. However, these communications are not promotional in nature.

Customer Service

We communicate with users on a regular basis to provide requested services and in regard to issues relating to their account we reply via email or phone in accordance with the users' wishes when a user submits their information through our Contact Us form.

Other Collection and Use of Information


Application and System Logs

Pearson automatically collects log data to help ensure the delivery, availability and security of this site. Log data may include technical information about how a user or visitor connected to this site, such as browser type, type of computer/device, operating system, internet service provider and IP address. We use this information for support purposes and to monitor the health of the site, identify problems, improve service, detect unauthorized access and fraudulent activity, prevent and respond to security incidents and appropriately scale computing resources.

Web Analytics

Pearson may use third party web trend analytical services, including Google Analytics, to collect visitor information, such as IP addresses, browser types, referring pages, pages visited and time spent on a particular site. While these analytical services collect and report information on an anonymous basis, they may use cookies to gather web trend information. The information gathered may enable Pearson (but not the third party web trend services) to link information with application and system log data. Pearson uses this information for system administration and to identify problems, improve service, detect unauthorized access and fraudulent activity, prevent and respond to security incidents, appropriately scale computing resources and otherwise support and deliver this site and its services.

Cookies and Related Technologies

This site uses cookies and similar technologies to personalize content, measure traffic patterns, control security, track use and access of information on this site, and provide interest-based messages and advertising. Users can manage and block the use of cookies through their browser. Disabling or blocking certain cookies may limit the functionality of this site.

Do Not Track

This site currently does not respond to Do Not Track signals.

Security


Pearson uses appropriate physical, administrative and technical security measures to protect personal information from unauthorized access, use and disclosure.

Children


This site is not directed to children under the age of 13.

Marketing


Pearson may send or direct marketing communications to users, provided that

  • Pearson will not use personal information collected or processed as a K-12 school service provider for the purpose of directed or targeted advertising.
  • Such marketing is consistent with applicable law and Pearson's legal obligations.
  • Pearson will not knowingly direct or send marketing communications to an individual who has expressed a preference not to receive marketing.
  • Where required by applicable law, express or implied consent to marketing exists and has not been withdrawn.

Pearson may provide personal information to a third party service provider on a restricted basis to provide marketing solely on behalf of Pearson or an affiliate or customer for whom Pearson is a service provider. Marketing preferences may be changed at any time.

Correcting/Updating Personal Information


If a user's personally identifiable information changes (such as your postal address or email address), we provide a way to correct or update that user's personal data provided to us. This can be done on the Account page. If a user no longer desires our service and desires to delete his or her account, please contact us at customer-service@informit.com and we will process the deletion of a user's account.

Choice/Opt-out


Users can always make an informed choice as to whether they should proceed with certain services offered by InformIT. If you choose to remove yourself from our mailing list(s) simply visit the following page and uncheck any communication you no longer want to receive: www.informit.com/u.aspx.

Sale of Personal Information


Pearson does not rent or sell personal information in exchange for any payment of money.

While Pearson does not sell personal information, as defined in Nevada law, Nevada residents may email a request for no sale of their personal information to NevadaDesignatedRequest@pearson.com.

Supplemental Privacy Statement for California Residents


California residents should read our Supplemental privacy statement for California residents in conjunction with this Privacy Notice. The Supplemental privacy statement for California residents explains Pearson's commitment to comply with California law and applies to personal information of California residents collected in connection with this site and the Services.

Sharing and Disclosure


Pearson may disclose personal information, as follows:

  • As required by law.
  • With the consent of the individual (or their parent, if the individual is a minor)
  • In response to a subpoena, court order or legal process, to the extent permitted or required by law
  • To protect the security and safety of individuals, data, assets and systems, consistent with applicable law
  • In connection the sale, joint venture or other transfer of some or all of its company or assets, subject to the provisions of this Privacy Notice
  • To investigate or address actual or suspected fraud or other illegal activities
  • To exercise its legal rights, including enforcement of the Terms of Use for this site or another contract
  • To affiliated Pearson companies and other companies and organizations who perform work for Pearson and are obligated to protect the privacy of personal information consistent with this Privacy Notice
  • To a school, organization, company or government agency, where Pearson collects or processes the personal information in a school setting or on behalf of such organization, company or government agency.

Links


This web site contains links to other sites. Please be aware that we are not responsible for the privacy practices of such other sites. We encourage our users to be aware when they leave our site and to read the privacy statements of each and every web site that collects Personal Information. This privacy statement applies solely to information collected by this web site.

Requests and Contact


Please contact us about this Privacy Notice or if you have any requests or questions relating to the privacy of your personal information.

Changes to this Privacy Notice


We may revise this Privacy Notice through an updated posting. We will identify the effective date of the revision in the posting. Often, updates are made to provide greater clarity or to comply with changes in regulatory requirements. If the updates involve material changes to the collection, protection, use or disclosure of Personal Information, Pearson will provide notice of the change through a conspicuous notice on this site or other appropriate way. Continued use of the site after the effective date of a posted revision evidences acceptance. Please contact us if you have questions or concerns about the Privacy Notice or any objection to any revisions.

Last Update: November 17, 2020