RTU Kota B.Tech IT 4th Semester Principles of Communication Question Paper 2019

RTU Information Technology Principles of Communication 2019 Paper Review

Preparing for the Rajasthan Technical University B.Tech Principles of Communication exam requires a strict understanding of signal processing and transmission techniques. For Information Technology students, this subject explains the physical and mathematical methods used to send data over networks. You must understand how analog voice signals convert into digital bitstreams and how high-frequency carriers transmit data through physical channels. The 2019 paper tests your mathematical derivations for modulation index, circuit diagrams for signal generation, and numerical calculations for bandwidth and channel capacity. Reviewing this specific branch paper shows you exactly how examiners structure the questions and allocate marks across the syllabus modules. This systematic preparation helps you approach your fourth-semester exam confidently.

Understanding the IT Branch Exam Pattern

The RTU theory examination is a three-hour paper worth 70 marks. The paper features three distinct sections designed to evaluate both basic definitions and comprehensive signal derivations.

• Part A: This section contains ten compulsory questions worth two marks each. You must state the Shannon channel capacity theorem, define modulation index, or calculate the Nyquist rate for a given frequency under 30 words.
• Part B: You will find seven questions here. You must answer five of them. Each question is worth four marks. Your answers require drawing block diagrams for specific receivers, explaining Carson's rule for frequency modulation bandwidth, or solving basic numerical problems on pulse code modulation.
• Part C: This section offers five major questions. You need to answer three. Each question carries ten marks. These require long mathematical derivations for power relations in amplitude modulation, complete block diagram explanations of superheterodyne receivers, or detailed steps for calculating Huffman coding efficiency.

Core Topics Evaluated in the IT Paper

The 2019 question paper covers several critical modules that establish the mathematical baseline for data transmission. Focus your study time on these specific areas to maximize your score.

Amplitude Modulation

This is the baseline for analog communication. You must master the mathematical expression for an amplitude-modulated wave, calculate the modulation index, and understand the power distribution between the carrier and sidebands. Practice drawing the circuit diagrams for envelope detectors and square-law modulators. The 2019 paper tests the mathematical derivations for Double Sideband Suppressed Carrier and Single Sideband generation methods, specifically the phase shift method.

Angle Modulation

You must understand the structural difference between Frequency Modulation and Phase Modulation. Focus closely on deriving the frequency spectrum of a frequency-modulated wave using Bessel functions. Practice calculating bandwidth using Carson's rule. You must know how to generate frequency modulation signals using the Armstrong method and how to demodulate them using Phase-Locked Loops or ratio detectors.

Digital Communication and Pulse Modulation

This connects analog signals to digital computing systems. Master the Sampling Theorem and understand aliasing. You must explain the block diagrams for Pulse Amplitude Modulation, Pulse Width Modulation, and Pulse Position Modulation. The core of this module is Pulse Code Modulation. Practice calculating the signal-to-quantization noise ratio and understanding the companding process.

Digital Modulation Techniques

You must know how to transmit digital bits over analog carrier waves. Study the waveforms, transmitter block diagrams, and receiver structures for Amplitude Shift Keying, Frequency Shift Keying, and Phase Shift Keying. Expect questions asking you to compare the bandwidth requirements and error probabilities of Binary Phase Shift Keying and Quadrature Phase Shift Keying.

Information Theory and Coding

This section is heavily numerical. You must calculate the entropy of a given discrete memoryless source. Master the Shannon-Hartley theorem to calculate channel capacity in the presence of white Gaussian noise. Practice constructing Huffman codes and Shannon-Fano codes for a given set of message probabilities. You must be prepared to calculate the coding efficiency and redundancy for a ten-mark question.

Answer Writing Strategy for High Marks

RTU evaluators look for accurate mathematical derivations, labeled waveforms, and clear block diagrams. Use a blue pen for your general text and mathematical steps, and use a black pen and ruler for drawing waveforms, circuit diagrams, and block structures.

In Part A, answer directly. If a question asks for the formula for amplitude modulation power, write the exact mathematical equation Pt

​=Pc

​(1+2

m2

​) and define the variables explicitly.

In Part B, structure your answers with diagrams. When explaining a pulse code modulation transmitter, draw the blocks for the sampler, quantizer, and encoder in sequence before writing the functional description.

In Part C, methodical execution is critical. When solving a ten-mark Huffman coding problem, build the probability tree systematically, list the final codewords in a clear table, and show the exact multiplication steps to calculate average word length and efficiency. Draw a clean box around your final numerical answers and derived formulas.

Time Management During the Exam

Allocate 20 minutes to Part A. Spend 40 minutes on Part B. Reserve the remaining 120 minutes for the three long-answer questions in Part C. Deriving complex modulation equations, drawing accurate multi-stage block diagrams, and executing source coding algorithms requires steady focus and significant time. This plan guarantees you 40 minutes per major question, giving you time to double-check your arithmetic and verify your block connections. Use the final 10 minutes to verify your question numbering, ensure all axes on your waveforms are labeled correctly, and check that you have not skipped any intermediate steps in your mathematical proofs.