DeVry NETW 310 Week 1 iLab Latest

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DeVry NETW 310 Week 1 iLab Latest

iLab 1: Examine the Physical Layer (70 points)

Note!

Submit your assignment to the Dropbox, located at the top of this page.

(See the Syllabus section “Due Dates for Assignments & Exams” for due dates.)

ILAB OVERVIEW

Scenario/Summary

In this first week of the course, we are discussing the signals seen at Layer 1, the physical layer, of the OSI model.For wired media, such as a UTP cable used in a local area network or a fiber-optic cable used to interconnect local area networks inside of a building, the signal is not easily viewed with the tools a network manager would have access to, nor would such viewing aid him or her in diagnosing and correcting problems on the network. However, for the wireless signals that we are seeing used more and more, these are easily viewed by using a low-cost spectrum analyzer. In this iLab, we will look at the different types of spectrum analyzers, look at typical signals seen on them, and then use one of them to examine wireless signals.

This iLab is in two parts. In Part 1, you will learn how to use the tool required to conduct analysis such as this in the real world. In Part 2, you will watch a video that shows common wireless signals. The grade for Part 1 is based on your successful completion of a set of questions demonstrating that you understand what a spectrum analyzer is and what type of information it displays to the network manager. The grade for Part 2 is based on your ability to use what you learned in Part 1 to identify and classify common waveforms seen in typical wireless local area networks.

Deliverables

You are required to submit a lab report to the Week 1 Dropbox.

Required Software

None

ILAB STEPS

STEP 1: Learn What a Spectrum Analyzer

.equella.ecollege.com/file/555c7bbd-5fa2-4995-9d58-9d94ae4f2906/32/NETW310_W1_iLab.html#top”>Back to Top

Part 1—What a Spectrum Analyzer Is and How to Use It

Watch each of these videos in order to learn about spectrum analysis.

Types of Spectrum AnalyzersPlay.equella.ecollege.com/file/555c7bbd-5fa2-4995-9d58-9d94ae4f2906/32/NETW310_W1_iLab.html#”>00:00Mute.equella.ecollege.com/file/555c7bbd-5fa2-4995-9d58-9d94ae4f2906/32/NETW310_W1_iLab.html#”>Fullscreen

.equella.ecollege.com/file/555c7bbd-5fa2-4995-9d58-9d94ae4f2906/32/HardwareSpectrum_transcript.html”>Transcript

Recognizing the Noise FloorPlay.equella.ecollege.com/file/555c7bbd-5fa2-4995-9d58-9d94ae4f2906/32/NETW310_W1_iLab.html#”>00:00Mute.equella.ecollege.com/file/555c7bbd-5fa2-4995-9d58-9d94ae4f2906/32/NETW310_W1_iLab.html#”>Fullscreen

.equella.ecollege.com/file/555c7bbd-5fa2-4995-9d58-9d94ae4f2906/32/NoiseFloor_transcript.html”>Transcript

Recognizing Unlicensed Bands SignalsPlay.equella.ecollege.com/file/555c7bbd-5fa2-4995-9d58-9d94ae4f2906/32/NETW310_W1_iLab.html#”>00:00Mute.equella.ecollege.com/file/555c7bbd-5fa2-4995-9d58-9d94ae4f2906/32/NETW310_W1_iLab.html#”>Fullscreen

.equella.ecollege.com/file/555c7bbd-5fa2-4995-9d58-9d94ae4f2906/32/Unlicensed_bands_transcript.html”>Transcript

Recognizing Co-Channel InterferencePlay.equella.ecollege.com/file/555c7bbd-5fa2-4995-9d58-9d94ae4f2906/32/NETW310_W1_iLab.html#”>00:00Mute.equella.ecollege.com/file/555c7bbd-5fa2-4995-9d58-9d94ae4f2906/32/NETW310_W1_iLab.html#”>Fullscreen

.equella.ecollege.com/file/555c7bbd-5fa2-4995-9d58-9d94ae4f2906/32/CoChannel_transcript.html”>Transcript

Recognizing Adjacent Channel InterferencePlay.equella.ecollege.com/file/555c7bbd-5fa2-4995-9d58-9d94ae4f2906/32/NETW310_W1_iLab.html#”>00:00Mute.equella.ecollege.com/file/555c7bbd-5fa2-4995-9d58-9d94ae4f2906/32/NETW310_W1_iLab.html#”>Fullscreen

.equella.ecollege.com/file/555c7bbd-5fa2-4995-9d58-9d94ae4f2906/32/AdjacentChannel_transcript.html”>Transcript

Recognizing All Channel InterferencePlay.equella.ecollege.com/file/555c7bbd-5fa2-4995-9d58-9d94ae4f2906/32/NETW310_W1_iLab.html#”>00:00Mute.equella.ecollege.com/file/555c7bbd-5fa2-4995-9d58-9d94ae4f2906/32/NETW310_W1_iLab.html#”>Fullscreen

.equella.ecollege.com/file/555c7bbd-5fa2-4995-9d58-9d94ae4f2906/32/All_channel_transcript.html”>Transcript

Part 2—Identify and Classify Common Waveforms

Watch this video and then answer the question on the lab report template based on what you see.

Identify and Classify Common WaveformsPlay.equella.ecollege.com/file/555c7bbd-5fa2-4995-9d58-9d94ae4f2906/32/NETW310_W1_iLab.html#”>00:00Mute.equella.ecollege.com/file/555c7bbd-5fa2-4995-9d58-9d94ae4f2906/32/NETW310_W1_iLab.html#”>Fullscreen

NETW310 Week 1 Lab Report

Answer each of the question listed below on page 2.

Create your report using the template starting on page 2 and submit it to the Week 1 Dropbox by the due date.

In order to be eligible to receive full credit, you must write in complete sentences and use the lab report template.Answers that are NOT written in complete sentences will receive point deductions.

Use a red-coloredfont for you answers.

REMOVE THIS PAGE BEFORE YOU TURN IN YOUR DELIVERABLE AS IT IS INSTRUCTIONS ONLY.
Your Name:

NETW310, Professor’s Name

DATE

Lab #1, Examine the Physical Layer

Lab Report

This assignment has 17 questions that are equally weighted. Each answer is worth 4 points. Using the template and completing the header are worth 2 points on your grade for this assignment.

Use a red-coloredfont for you answers. Answers that are NOT written in complete sentences will receive point deductions.

In order to be eligible to receive full credit, you must write in complete sentences and use the lab report template.

Place your answers in the template below the questions.

  1. 1.What is a spectrum analyzier used for in terms of wireless and wired networking?
  2. 2.An oscilloscope has a screen that has a horizontal and vertical axis that shows ampliture (in volts) and time ( in seconds) respectively.It operates in what is called the TIME DOMAIN.
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A spectrum analyzer (example shown above) has a screen whose horizontal and vertical axis show what two things? What are the units of these two? What domain is a spectrum analyzer.

Spectrum Analyzer horizontal axis: ______________________

Spectrum Analyzer vertical axis: ______________________

Spectrum Analyzer units for horizontal axis: ______________________

Spectrum Analyzer units for vertical axis: ______________________

Spectrum Analyzer shows the ______________________ domain

  1. 3.Match the screen of the spectrum analyzer and the oscilloscope with which view of a sine wave shows up for each one.Which one would show a? Which one would show b?

Oscilloscope: ______________________

Spectrum Analyzer: ______________________

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  1. 4.What is the difference between BANDWIDTH that shows up on the screen of a spectrum analyzer and CHANNELS that show up on the screen of a spectrum analyzer?
  2. 5.What does dB stand for? How do you calculate dB?

HINT: What is the formula for dB?

  1. 6.Is dB a linear scale or a logarithmic scale? What does this mean?Are there any advantages to using this?HINT: What does it mean to have a linear scale? What does it mean to have a logarithmic scale? What are the advantages or disadvantages of these?
  2. 7.What is GAIN and LOSS in terms of dB?

HINT: What does this mean in terms of dB? Think of how dB is used for an audio system for example. What does this mean in terms of negative or positive dB?

  1. 8.This question refers to the video tutorial.There are three patterns outlined on the screen which one of these is identifying the noise floor? NOTE: You are to give the PATTERN number ( 1 – 4), not state which panel/range/view it is shown in.

HINT: Look at Video: Recognizing the Noise Floor Video

  1. 9.This question refers to the video tutorial.What is the approximate signal level of the noise floor? HINT: You are looking for the amplitude in (negative) dB.

HINT: Look at Video: Recognizing the Noise Floor Video

  1. 10.This question refers to the video tutorial.Of the 11 channels being displayed which ones have the lowest noise floor?

HINT: Look at Video: Recognizing the Noise Floor Video
HINT: The tapering area on the far right edge is due to the fact that 2.4 GHz signal ends at channel 11. So look at what is under channel 11.

  1. 11.This question refers to the video tutorial.Inside the circle marked as Pattern 2 is this a signal from one of the three unlicensed fequency ranges? What channels are shown?

HINT: Look at Video: Recognizing Unlicensed Bands Signals Video

  1. 12.This question refers to the video tutorial and question 11 above.If it is, what type of signal is this, 900 MHz, 2.4GHz, or 5 GHz?

HINT: Look at Video: Recognizing Unlicensed Bands Signals Video and what channels are shown in Pattern 2.

  1. 13.This question refers to the video tutorial.Inside the circle marked as Pattern 3 is this a signal from one of the three unlicensed signal ranges? HINT: What range is shown here for Pattern 3?

HINT: Look at Video: Recognizing Unlicensed Bands Signals Video and what channels are shown in Pattern 3.

  1. 14.This question refers to the video tutorial and question 13 above.If it is, what type of signal is this, 900 MHz, 2.4GHz, or 5 GHz?

HINT: Look at Video: Recognizing Unlicensed Bands Signals Video and what channels are shown in Pattern 3.

  1. 15.This question refers to the video tutorial.In the area marked as Pattern 4 some interference has appeared. What type of interference is this, such as all-channel, co-channel, adjacent-channel?

HINT: See Videos: Recognizing Adjacent Channel Interference Video (and Recognizing Co-Channel Interference Video, and Recognizing All Channel Interference Video)

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  1. 16.This question refers to the video tutorial.On what channel has this interference appeared on?

HINT: See Videos: Recognizing Adjacent Channel Interference Video (and Recognizing Co-Channel Interference Video, and Recognizing All Channel Interference Video)

  1. 17.This question refers to the video tutorial and questions 15 and 16 above..Is this interference weaker than, the same, or stronger than the signal that was there before it appeared?

HINT: See Videos: Recognizing Adjacent Channel Interference Video (and Recognizing Co-Channel Interference Video, and Recognizing All Channel Interference Video). Loook at the signal strength.

 

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DeVry NETW 310 Week 1 iLab Latest

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DeVry NETW 310 Week 1 iLab Latest