Question 1(a) [3 marks]#
Draw block diagram of digital communication system.
Answer:
graph LR
A[Information Source] --> B[Source Encoder]
B --> C[Channel Encoder]
C --> D[Digital Modulator]
D --> E[Channel]
E --> F[Digital Demodulator]
F --> G[Channel Decoder]
G --> H[Source Decoder]
H --> I[Information Sink]
J[Noise Source] --> E
Key Components:
- Information Source: Generates message signal
- Source Encoder: Converts analog to digital
- Channel Encoder: Adds error correction codes
- Digital Modulator: Converts digital bits to analog signal
Mnemonic: “Source Channel Modulator travels through Channel to Demodulator Channel Sink”
Question 1(b) [4 marks]#
Write the function of transmitter and receiver of digital communication system.
Answer:
Component | Function |
---|---|
Transmitter | Converts information signal into suitable form for transmission |
Source Encoder | Analog to digital conversion, sampling, quantization |
Channel Encoder | Error detection and correction coding |
Digital Modulator | Converts digital bits to analog waveform |
Component | Function |
---|---|
Receiver | Recovers original information from received signal |
Digital Demodulator | Converts received analog signal to digital bits |
Channel Decoder | Error detection and correction |
Source Decoder | Digital to analog conversion |
Key Functions:
- Signal Processing: Encoding, modulation, filtering
- Error Control: Detection and correction of transmission errors
- Signal Recovery: Demodulation and decoding at receiver
Mnemonic: “Transmitter Encodes Modulates, Receiver Demodulates Decodes”
Question 1(c) [7 marks]#
Define and explain with example: Continues time and discrete time signals, Real and complex signals and even and odd signals.
Answer:
Signal Type | Definition | Example |
---|---|---|
Continuous Time | Signal defined for all time values | x(t) = sin(2πt) |
Discrete Time | Signal defined only at specific time instants | x[n] = sin(2πn/8) |
Real Signal | Signal with real values only | x(t) = 5cos(t) |
Complex Signal | Signal with real and imaginary parts | x(t) = 3 + j4sin(t) |
Even and Odd Signals:
graph TD
A["Signal x[n]"] --> B{"Check x[-n]"}
B --> C["x[n] = x[-n]<br/>EVEN SIGNAL"]
B --> D["x[n] = -x[-n]<br/>ODD SIGNAL"]
C --> E["Example: cos[n]"]
D --> F["Example: sin[n]"]
Properties:
- Even Signal: Symmetric about y-axis, x(t) = x(-t)
- Odd Signal: Anti-symmetric about origin, x(t) = -x(-t)
- Complex Signal: z(t) = x(t) + jy(t)
- Discrete Signal: Sampled version of continuous signal
Mnemonic: “Continuous Everywhere, Discrete Specific, Real Simple, Complex Combined”
Question 1(c OR) [7 marks]#
Define and explain with example: Unit step function, Unit impulse function, Unit ramp function
Answer:
Function | Definition | Mathematical Form |
---|---|---|
Unit Step | u(t) = 1 for t≥0, 0 for t<0 | u(t) = 1 for t≥0 |
Unit Impulse | δ(t) = ∞ for t=0, 0 elsewhere | ∫δ(t)dt = 1 |
Unit Ramp | r(t) = t for t≥0, 0 for t<0 | r(t) = t·u(t) |
Applications:
- Unit Step: Switch operations, system response analysis
- Unit Impulse: System impulse response, convolution
- Unit Ramp: System ramp response, integration
Properties:
- Step: Derivative of ramp, integral of impulse
- Impulse: Derivative of step function
- Ramp: Integral of step function
Mnemonic: “Step Sudden, Impulse Instant, Ramp Rising”
Question 2(a) [3 marks]#
Define: bit rate, baud rate and bandwidth.
Answer:
Parameter | Definition | Unit |
---|---|---|
Bit Rate | Number of bits transmitted per second | bps (bits per second) |
Baud Rate | Number of signal changes per second | Baud (symbols per second) |
Bandwidth | Range of frequencies in signal | Hz (Hertz) |
Relationship:
- Bit Rate = Baud Rate × log₂(M)
- M = number of signal levels
- Bandwidth ∝ Baud Rate
Key Points:
- Higher bit rate: More data transmission
- Baud rate: Symbol transmission rate
- Bandwidth: Frequency spectrum occupied
Mnemonic: “Bits Baud Bandwidth - Data Symbol Frequency”
Question 2(b) [4 marks]#
Explain Energy and power signal.
Answer:
Signal Type | Definition | Mathematical Form |
---|---|---|
Energy Signal | Finite energy, zero average power | E = ∫ |
Power Signal | Finite average power, infinite energy | P = lim(T→∞) 1/T ∫ |
Classification:
graph TD
A[Signal] --> B{Energy Finite?}
B -->|Yes| C[Energy Signal<br/>P = 0]
B -->|No| D{Power Finite?}
D -->|Yes| E[Power Signal<br/>E = ∞]
D -->|No| F[Neither Energy<br/>nor Power]
Examples:
- Energy Signal: Exponentially decaying signal e^(-t)u(t)
- Power Signal: Sinusoidal signal sin(ωt)
- Neither: Ramp signal t·u(t)
Properties:
- Energy and power signals are mutually exclusive
- Periodic signals are generally power signals
- Non-periodic finite duration signals are energy signals
Mnemonic: “Energy Ends, Power Persists”
Question 2(c) [7 marks]#
Give the comparison between ASK, FSK and PSK modulation techniques and draw their waveforms.
Answer:
Parameter | ASK | FSK | PSK |
---|---|---|---|
Full Form | Amplitude Shift Keying | Frequency Shift Keying | Phase Shift Keying |
Varied Parameter | Amplitude | Frequency | Phase |
Bandwidth | Narrow | Wide | Narrow |
Noise Immunity | Poor | Good | Excellent |
Power Efficiency | Poor | Good | Excellent |
Implementation | Simple | Moderate | Complex |
Applications:
- ASK: Optical communication, simple radio systems
- FSK: Telephone modems, radio systems
- PSK: Satellite communication, wireless systems
Advantages:
- ASK: Simple implementation, low cost
- FSK: Good noise performance, constant envelope
- PSK: Best noise performance, bandwidth efficient
Mnemonic: “ASK Amplitude, FSK Frequency, PSK Phase”
Question 2(a OR) [3 marks]#
A bit rate of signal generator from 8-bit generator is 1600 bps. Calculate the baud rate of signal.
Answer:
Given:
- Bit rate = 1600 bps
- Number of bits per symbol = 8 bits
Formula: Baud Rate = Bit Rate / Number of bits per symbol
Calculation: Baud Rate = 1600 bps / 8 bits Baud Rate = 200 Baud
Result: The baud rate of the signal is 200 Baud.
Explanation:
- Each symbol carries 8 bits of information
- 1600 bits per second ÷ 8 bits per symbol = 200 symbols per second
- Therefore, baud rate = 200 Baud
Mnemonic: “Bit Rate divided by Bits per Symbol gives Baud”
Question 2(b OR) [4 marks]#
Find whether the signals are even or odd: 1. x(t) = e^(-5t) 2. x(t) = sin 2t 3. x(t) = cos 5t
Answer:
Signal | Test x(-t) | Result | Type |
---|---|---|---|
x(t) = e^(-5t) | x(-t) = e^(5t) ≠ x(t) ≠ -x(t) | Neither | Neither Even nor Odd |
x(t) = sin 2t | x(-t) = sin(-2t) = -sin 2t = -x(t) | -x(t) | Odd Signal |
x(t) = cos 5t | x(-t) = cos(-5t) = cos 5t = x(t) | x(t) | Even Signal |
Test Procedure:
- Even Signal Test: Check if x(t) = x(-t)
- Odd Signal Test: Check if x(t) = -x(-t)
Properties Used:
- Exponential: e^(-at) is neither even nor odd (a > 0)
- Sine Function: sin(-x) = -sin(x) → Odd function
- Cosine Function: cos(-x) = cos(x) → Even function
Results:
- Signal 1: Neither even nor odd
- Signal 2: Odd signal
- Signal 3: Even signal
Mnemonic: “Cosine Even, Sine Odd, Exponential Neither”
Question 2(c OR) [7 marks]#
Explain the Principle of QPSK signal. Draw its modulator and demodulator diagram. Also draw constellation diagram and waveforms of its.
Answer:
QPSK Principle: QPSK (Quadrature Phase Shift Keying) uses four different phase states to represent 2 bits per symbol.
Bits | Phase | I | Q |
---|---|---|---|
00 | 45° | +1 | +1 |
01 | 135° | -1 | +1 |
10 | -45° | +1 | -1 |
11 | -135° | -1 | -1 |
QPSK Modulator:
graph LR
A[Data Stream] --> B[Serial to Parallel]
B --> C[I Channel]
B --> D[Q Channel]
C --> E[Mixer 1]
D --> F[Mixer 2]
G["Carrier cos(ωt)"] --> E
H["Carrier sin(ωt)"] --> F
E --> I[Adder]
F --> I
I --> J[QPSK Output]
Constellation Diagram:
QPSK Demodulator:
graph LR
A[QPSK Input] --> B[Mixer 1]
A --> C[Mixer 2]
D["cos(ωt)"] --> B
E["sin(ωt)"] --> C
B --> F[LPF]
C --> G[LPF]
F --> H[Decision Device]
G --> I[Decision Device]
H --> J[Parallel to Serial]
I --> J
J --> K[Data Output]
Advantages:
- Bandwidth Efficient: 2 bits per symbol
- Good Noise Performance: Constant envelope
- Widely Used: Standard in digital communication
Applications:
- Satellite communication
- Digital TV broadcasting
- Wireless communication systems
Mnemonic: “QPSK - Quadrature Phase, 2 bits, 4 phases”
Question 3(a) [3 marks]#
Draw the block diagram of FSK modulator
Answer:
graph LR
A[Digital Data] --> B[Switch]
C[Oscillator 1<br/>f1] --> B
D[Oscillator 2<br/>f2] --> B
B --> E[FSK Output]
F[Data = 1] -.-> C
G[Data = 0] -.-> D
Components:
- Digital Data Input: Binary data stream (0s and 1s)
- Two Oscillators: f₁ for bit ‘1’, f₂ for bit ‘0’
- Electronic Switch: Selects frequency based on input bit
- FSK Output: Frequency modulated signal
Operation:
- Bit ‘1’: Switch connects oscillator 1 (higher frequency)
- Bit ‘0’: Switch connects oscillator 2 (lower frequency)
- Output: Continuous frequency shifting based on data
Mnemonic: “FSK - Frequency Switch based on data Keys”
Question 3(b) [4 marks]#
Draw and explain block diagram of PSK modulator.
Answer:
graph LR
A[Digital Data] --> B[Balanced Modulator]
C["Carrier Oscillator<br/>cos(ωt)"] --> B
B --> D[PSK Output]
E[Data = 1] -.-> F[0° phase]
G[Data = 0] -.-> H[180° phase]
Components and Function:
Component | Function |
---|---|
Digital Data | Binary input stream (0s and 1s) |
Carrier Oscillator | Generates reference carrier signal |
Balanced Modulator | Multiplies data with carrier |
PSK Output | Phase modulated signal |
Operation:
- Data ‘1’: Output = +cos(ωt) (0° phase)
- Data ‘0’: Output = -cos(ωt) (180° phase)
- Phase Shift: 180° difference between ‘1’ and ‘0’
Mathematical Expression:
- PSK Signal: s(t) = A·d(t)·cos(ωt)
- Where d(t) = +1 for ‘1’, -1 for ‘0’
Advantages:
- Constant Envelope: Better noise immunity
- Bandwidth Efficient: Occupies same bandwidth as ASK
- Simple Detection: Coherent detection required
Mnemonic: “PSK - Phase Shift using balanced modulator Key”
Question 3(c) [7 marks]#
Explain the block diagram of ASK modulator and de-modulator with waveform.
Answer:
ASK Modulator:
graph LR
A[Digital Data] --> B[Multiplier]
C["Carrier cos(ωt)"] --> B
B --> D[ASK Output]
ASK Demodulator:
graph LR
A[ASK Input] --> B[Multiplier]
C[Local Carrier] --> B
B --> D[Low Pass Filter]
D --> E[Decision Device]
E --> F[Digital Output]
G[Threshold] --> E
Waveforms:
Modulation Process:
Data Bit | Carrier | ASK Output |
---|---|---|
‘1’ | A·cos(ωt) | A·cos(ωt) |
‘0’ | A·cos(ωt) | 0 |
Demodulation Process:
- Multiplication: ASK signal × Local carrier
- Low Pass Filtering: Remove high frequency components
- Decision: Compare with threshold to recover data
Applications:
- Optical Communication: LED/Laser on-off keying
- Simple Radio Systems: AM radio modification
- Short Range Communication: IR remote controls
Advantages/Disadvantages:
Advantages | Disadvantages |
---|---|
Simple implementation | Poor noise performance |
Low cost | Bandwidth inefficient |
Easy detection | Susceptible to fading |
Mnemonic: “ASK - Amplitude Switch, multiply and filter Key”
Question 3(a OR) [3 marks]#
Write Principle and draw the constellation diagram of MSK.
Answer:
MSK Principle: MSK (Minimum Shift Keying) is a form of continuous-phase FSK where the frequency deviation is exactly half the bit rate.
Key Properties:
- Continuous Phase: No phase discontinuities
- Minimum Frequency Separation: Δf = Rb/2
- Constant Envelope: Good for nonlinear amplifiers
Constellation Diagram:
Mathematical Representation:
- Bit ‘1’: f₁ = fc + Rb/4
- Bit ‘0’: f₂ = fc - Rb/4
- Frequency Deviation: Δf = Rb/2
Characteristics:
- Spectral Efficiency: Better than conventional FSK
- Continuous Phase: Reduces out-of-band radiation
- Orthogonal Detection: Can be detected as OQPSK
Mnemonic: “MSK - Minimum Shift, Continuous phase Key”
Question 3(b OR) [4 marks]#
Draw and explain the constellation diagram of 16-QAM
Answer:
16-QAM Constellation:
16-QAM Mapping Table:
Bits | I | Q | Amplitude | Phase |
---|---|---|---|---|
0000 | -3 | -3 | √18 | 225° |
0001 | -3 | -1 | √10 | 198.4° |
0010 | -3 | +1 | √10 | 161.6° |
0011 | -3 | +3 | √18 | 135° |
0100 | -1 | -3 | √10 | 251.6° |
0101 | -1 | -1 | √2 | 225° |
… | … | … | … | … |
Key Features:
- 16 Symbol Points: 4 bits per symbol
- Gray Coding: Adjacent symbols differ by 1 bit
- Variable Amplitude: Different power levels
- High Data Rate: 4 times QPSK data rate
Signal Representation: s(t) = I(t)·cos(ωt) - Q(t)·sin(ωt)
Applications:
- Digital Cable TV: High data rate transmission
- Microwave Links: Point-to-point communication
- WiFi Systems: 802.11 standards
Advantages:
- High Spectral Efficiency: 4 bits per symbol
- Good BER Performance: With proper coding
- Flexible Implementation: Software defined radio
Trade-offs:
- Higher Complexity: More complex than QPSK
- Power Variation: Requires linear amplifiers
- Noise Sensitivity: Higher than constant envelope schemes
Mnemonic: “16-QAM - 16 points, 4 bits, Quadrature Amplitude Modulation”
Question 3(c OR) [7 marks]#
Compare Bits PER Symbol for digital modulation techniques-ASK, FSK, PSK, QPSK,8-PSK, MSK and 16-QAM
Answer:
Bits per Symbol Comparison:
Modulation | Bits per Symbol | Symbol Rate | Data Rate Relationship |
---|---|---|---|
ASK | 1 | Rs = Rb | Rb = Rs × 1 |
FSK | 1 | Rs = Rb | Rb = Rs × 1 |
PSK (BPSK) | 1 | Rs = Rb | Rb = Rs × 1 |
QPSK | 2 | Rs = Rb/2 | Rb = Rs × 2 |
8-PSK | 3 | Rs = Rb/3 | Rb = Rs × 3 |
MSK | 1 | Rs = Rb | Rb = Rs × 1 |
16-QAM | 4 | Rs = Rb/4 | Rb = Rs × 4 |
Detailed Analysis:
graph LR
A[Digital Modulation] --> B[M-ary Modulation]
B --> C["Bits per Symbol = log₂(M)"]
C --> D[Higher M = More bits per symbol]
D --> E[Higher Data Rate]
E --> F[But Higher Complexity]
Bandwidth Efficiency:
Modulation | M | Bits/Symbol | Bandwidth Efficiency |
---|---|---|---|
ASK, FSK, PSK | 2 | 1 | 1 bit/s/Hz |
QPSK | 4 | 2 | 2 bits/s/Hz |
8-PSK | 8 | 3 | 3 bits/s/Hz |
16-QAM | 16 | 4 | 4 bits/s/Hz |
Power Requirements:
Modulation | Relative Power | BER Performance |
---|---|---|
PSK | Reference | Best |
ASK | +3dB penalty | Poor |
FSK | Same as PSK | Good |
QPSK | Same as PSK | Same as PSK |
8-PSK | +2.5dB penalty | Moderate |
16-QAM | +4dB penalty | Good with coding |
Trade-offs:
- Higher M: More bits per symbol but higher complexity
- Bandwidth vs Power: Trade-off between spectral and power efficiency
- Implementation: Higher order modulation needs better hardware
Applications:
- Low Rate: ASK, FSK, PSK for simple systems
- Medium Rate: QPSK for balanced performance
- High Rate: 8-PSK, 16-QAM for high-speed systems
Formula: Bits per Symbol = log₂(M), where M = number of symbols
Mnemonic: “More symbols, More bits, More complexity”
Question 4(a) [3 marks]#
Define probability and write it Significance of in communication
Answer:
Definition of Probability: Probability is the measure of likelihood that an event will occur, expressed as a number between 0 and 1.
P(Event) = Number of favorable outcomes / Total number of possible outcomes
Significance in Communication:
Application | Significance |
---|---|
Error Analysis | Calculate bit error rate (BER) |
Channel Modeling | Noise and fading statistics |
Coding Theory | Error correction probability |
Signal Detection | Detection and false alarm rates |
Key Applications:
- BER Calculation: P(error) = Q(√(2Eb/N0))
- Channel Capacity: Shannon’s theorem uses probability
- Information Theory: Entropy based on probability
- System Design: Performance prediction
Mathematical Tools:
- Gaussian Distribution: For noise analysis
- Rayleigh Distribution: For fading channels
- Poisson Distribution: For arrival processes
Mnemonic: “Probability Predicts Performance in communication systems”
Question 4(b) [4 marks]#
Explain Huffman code with suitable example
Answer:
Huffman Coding Principle: Variable length coding where frequently occurring symbols get shorter codes.
Algorithm:
- List symbols with probabilities
- Combine two lowest probability symbols
- Repeat until single symbol remains
- Assign codes: left = 0, right = 1
Example:
Symbol | Probability | Huffman Code |
---|---|---|
A | 0.4 | 0 |
B | 0.3 | 10 |
C | 0.2 | 110 |
D | 0.1 | 111 |
Huffman Tree Construction:
graph TD
A1[1.0] --> B1[A: 0.4]
A1 --> C1[0.6]
C1 --> D1[B: 0.3]
C1 --> E1[0.3]
E1 --> F1[C: 0.2]
E1 --> G1[D: 0.1]
Code Assignment:
- A: 0 (1 bit)
- B: 10 (2 bits)
- C: 110 (3 bits)
- D: 111 (3 bits)
Average Code Length: L = 0.4×1 + 0.3×2 + 0.2×3 + 0.1×3 = 1.9 bits/symbol
Advantages:
- Optimal: Minimum average code length
- Prefix Property: No code is prefix of another
- Efficient: Reduces transmission bandwidth
Mnemonic: “Huffman - Frequent symbols get Shorter codes”
Question 4(c) [7 marks]#
Explain concept and key features of Internet of Things (IoT).
Answer:
IoT Concept: Internet of Things is the network of physical devices embedded with sensors, software, and connectivity to collect and exchange data.
IoT Architecture:
graph TD
A[Physical Devices] --> B[Connectivity Layer]
B --> C[Data Processing]
C --> D[Application Layer]
D --> E[Business Layer]
F[Sensors] --> A
G[Actuators] --> A
H[WiFi/Bluetooth] --> B
I[Cellular/LoRa] --> B
J[Cloud Computing] --> C
K[Edge Computing] --> C
Key Features:
Feature | Description | Example |
---|---|---|
Connectivity | Devices connected to internet | WiFi, 4G, 5G |
Intelligence | Smart decision making | AI algorithms |
Sensing | Data collection from environment | Temperature, humidity |
Actuation | Control physical processes | Motors, valves |
Interoperability | Devices work together | Standard protocols |
IoT Protocol Stack:
Layer | Protocols | Function |
---|---|---|
Application | HTTP, CoAP, MQTT | Data exchange |
Transport | TCP, UDP | Reliable transmission |
Network | IPv6, 6LoWPAN | Routing |
Physical | WiFi, ZigBee, LoRa | Connectivity |
Applications:
- Smart Home: Automated lighting, security
- Industrial IoT: Manufacturing automation
- Healthcare: Remote patient monitoring
- Smart Cities: Traffic management, utilities
Challenges:
- Security: Device vulnerabilities, data privacy
- Scalability: Billions of devices
- Interoperability: Different standards
- Power Consumption: Battery-operated devices
Benefits:
- Automation: Reduced human intervention
- Efficiency: Optimized resource usage
- Real-time Monitoring: Instant data access
- Cost Reduction: Predictive maintenance
Technologies:
- Communication: WiFi, Bluetooth, Cellular, LoRa
- Processing: Edge computing, cloud computing
- Analytics: Big data, machine learning
- Security: Encryption, authentication
Mnemonic: “IoT - Internet of Things, Smart Connected Devices everywhere”
Question 4(a OR) [3 marks]#
Define error correction code and list common error correcting code.
Answer:
Error Correction Code Definition: Error correction codes are techniques that add redundant bits to data to detect and correct transmission errors automatically.
Common Error Correcting Codes:
Code Type | Description | Capability |
---|---|---|
Hamming Code | Single error correction | Correct 1-bit error |
Reed-Solomon | Block code for burst errors | Correct multiple errors |
BCH Code | Binary cyclic code | Correct t errors |
Convolutional Code | Continuous encoding | Good for noisy channels |
Turbo Code | Iterative decoding | Near Shannon limit |
LDPC Code | Low density parity check | Excellent performance |
Applications:
- Memory Systems: ECC RAM
- Storage Devices: Hard drives, CDs
- Communication: Satellite, cellular
- Broadcasting: Digital TV, radio
Mnemonic: “Error Correction Codes - Hamming Reed BCH Convolutional Turbo LDPC”
Question 4(b OR) [4 marks]#
Explain Shanon Fano code with suitable example
Answer:
Shannon-Fano Coding Algorithm: Top-down approach that divides symbols into two groups with approximately equal probabilities.
Algorithm Steps:
- Arrange symbols in decreasing probability order
- Divide into two groups with nearly equal total probability
- Assign ‘0’ to first group, ‘1’ to second group
- Repeat for each subgroup
Example:
Symbol | Probability | Shannon-Fano Code |
---|---|---|
A | 0.4 | 00 |
B | 0.3 | 01 |
C | 0.2 | 10 |
D | 0.1 | 11 |
Construction Tree:
graph TD
A1[A,B,C,D: 1.0] --> B1[A,B: 0.7]
A1 --> C1[C,D: 0.3]
B1 --> D1[A: 0.4]
B1 --> E1[B: 0.3]
C1 --> F1[C: 0.2]
C1 --> G1[D: 0.1]
Code Assignment:
- Group 1 (A,B): Code starts with ‘0’
- Group 2 (C,D): Code starts with ‘1’
- A: 00, B: 01, C: 10, D: 11
Comparison with Huffman:
- Shannon-Fano: Top-down approach
- Huffman: Bottom-up approach
- Huffman: Always optimal
- Shannon-Fano: May not be optimal
Average Code Length: L = 0.4×2 + 0.3×2 + 0.2×2 + 0.1×2 = 2.0 bits/symbol
Mnemonic: “Shannon-Fano - Split groups, assign codes Top-down”
Question 4(c OR) [7 marks]#
Explain different standard formats of audio signal.
Answer:
Audio Signal Formats:
Format | Full Form | Compression | Quality | File Size |
---|---|---|---|---|
WAV | Waveform Audio File | Uncompressed | Highest | Largest |
MP3 | MPEG Layer 3 | Lossy | Good | Small |
AAC | Advanced Audio Coding | Lossy | Better than MP3 | Small |
FLAC | Free Lossless Audio Codec | Lossless | Original | Medium |
OGG | Ogg Vorbis | Lossy | Good | Small |
Audio Parameters:
graph TD
A[Audio Signal] --> B[Sampling Rate]
A --> C[Bit Depth]
A --> D[Channels]
A --> E[Compression]
B --> F[44.1 kHz CD Quality]
C --> G[16-bit Standard]
D --> H[Mono/Stereo]
E --> I[Lossy/Lossless]
Sampling Standards:
Standard | Sampling Rate | Bit Depth | Application |
---|---|---|---|
CD Quality | 44.1 kHz | 16-bit | Consumer audio |
Studio Quality | 48 kHz | 24-bit | Professional recording |
High Resolution | 96 kHz | 24-bit | Audiophile |
Telephone | 8 kHz | 8-bit | Voice communication |
Compression Types:
- Lossless: Original quality preserved (FLAC, ALAC)
- Lossy: Some quality lost for smaller size (MP3, AAC)
- Uncompressed: No compression (WAV, AIFF)
Applications:
- Broadcasting: AAC for digital radio
- Streaming: MP3, AAC for internet
- Professional: WAV, FLAC for studios
- Mobile: AAC for smartphones
File Size Comparison (3-minute song):
- WAV: 30 MB
- FLAC: 20 MB
- MP3: 3 MB
- AAC: 2.5 MB
Quality vs Size Trade-off:
- Highest Quality: WAV (uncompressed)
- Best Balance: AAC (lossy compressed)
- Smallest Size: Low bitrate MP3
- Lossless Compressed: FLAC
Mnemonic: “WAV MP3 AAC FLAC - Wave, Layer3, Advanced, Free Lossless”
Question 5(a) [3 marks]#
Explain E1 carrier multiplexing hierarchy.
Answer:
E1 Carrier System: European digital transmission standard for multiplexing voice channels.
E1 Hierarchy:
Level | Name | Bit Rate | Voice Channels | Multiplexing |
---|---|---|---|---|
E0 | Basic Channel | 64 kbps | 1 | - |
E1 | Primary Rate | 2.048 Mbps | 30 | 30 × E0 + 2 |
E2 | Secondary Rate | 8.448 Mbps | 120 | 4 × E1 |
E3 | Tertiary Rate | 34.368 Mbps | 480 | 4 × E2 |
E4 | Quaternary Rate | 139.264 Mbps | 1920 | 4 × E3 |
E1 Frame Structure:
Multiplexing Process:
- Level 1: 30 voice channels + 2 control → E1
- Level 2: 4 E1 streams → E2
- Level 3: 4 E2 streams → E3
- Level 4: 4 E3 streams → E4
Applications:
- ISDN: Primary rate interface
- Cellular: Base station connectivity
- Enterprise: Private branch exchange (PBX)
- Internet: Digital subscriber line (DSL)
Mnemonic: “E1 - 30 voices, 2.048 Mbps, European standard”
Question 5(b) [4 marks]#
Compare FDMA with TDMA.
Answer:
FDMA vs TDMA Comparison:
Parameter | FDMA | TDMA |
---|---|---|
Full Form | Frequency Division Multiple Access | Time Division Multiple Access |
Domain | Frequency | Time |
Channel Allocation | Each user gets different frequency | Each user gets different time slot |
Bandwidth per User | Narrow bandwidth continuously | Full bandwidth for short duration |
Guard Bands | Required between frequencies | Not required |
Synchronization | Not critical | Critical |
Flexibility | Less flexible | More flexible |
Handoff | Simple | Complex |
Near-Far Effect | Less problematic | More problematic |
FDMA System:
graph TD
A[Total Bandwidth] --> B[User 1: f1]
A --> C[User 2: f2]
A --> D[User 3: f3]
A --> E[User N: fn]
F[Guard Band] --> B
F --> C
F --> D
TDMA System:
gantt
title TDMA Time Slots
dateFormat X
axisFormat %s
section Frame
User 1 :done, u1, 0, 1
User 2 :done, u2, 1, 2
User 3 :done, u3, 2, 3
User 4 :done, u4, 3, 4
Advantages/Disadvantages:
FDMA Advantages | FDMA Disadvantages |
---|---|
Simple implementation | Waste of bandwidth due to guard bands |
No synchronization needed | Less flexible |
Continuous transmission | Difficult to accommodate varying rates |
TDMA Advantages | TDMA Disadvantages |
---|---|
Efficient bandwidth usage | Complex synchronization |
Flexible data rates | Battery life issues (burst transmission) |
Easy to add/remove users | Near-far problem |
Applications:
- FDMA: AMPS (1G), satellite communication
- TDMA: GSM (2G), satellite communication
Mnemonic: “FDMA Frequency, TDMA Time - different domains for multiple access”
Question 5(c) [7 marks]#
Explain CDMA technique in detail.
Answer:
CDMA Principle: Code Division Multiple Access allows multiple users to share the same frequency and time by using unique spreading codes.
CDMA System Architecture:
graph LR
A[User Data] --> B[Spreading Code]
B --> C[Modulator]
C --> D[Channel]
D --> E[Correlator]
E --> F[Despreading]
F --> G[Data Recovery]
H[Pseudo-random Code] --> B
I[Same PN Code] --> F
Spreading Process:
Parameter | Before Spreading | After Spreading |
---|---|---|
Data Rate | Rb | Rb |
Chip Rate | - | Rc (= N × Rb) |
Bandwidth | Rb | Rc |
Processing Gain | 1 | N = Rc/Rb |
CDMA Properties:
Key Features:
Feature | Description | Benefit |
---|---|---|
Spreading | Data XOR with PN code | Bandwidth expansion |
Processing Gain | Rc/Rb ratio | Interference rejection |
Soft Handoff | Simultaneous connections | Better quality |
Power Control | Dynamic power adjustment | Near-far solution |
CDMA Advantages:
- Capacity: Higher user capacity than FDMA/TDMA
- Security: Encrypted by spreading code
- Soft Handoff: No call dropping during handoff
- Anti-jamming: Spread spectrum immunity
- No Frequency Planning: Same frequency reuse
CDMA Disadvantages:
- Near-Far Problem: Requires power control
- Complexity: More complex than FDMA/TDMA
- Self Interference: Users interfere with each other
- Breathing Effect: Coverage varies with loading
Mathematical Analysis:
- Processing Gain: G = Rc/Rb = 10log₁₀(Rc/Rb) dB
- Capacity: M ≈ 1 + G/(Eb/I₀)
- BER: Depends on number of active users
Power Control:
- Open Loop: Based on received signal strength
- Closed Loop: Base station commands mobile
- Requirement: ±1 dB accuracy needed
Applications:
- IS-95 (cdmaOne): 2G CDMA standard
- WCDMA: 3G UMTS system
- GPS: Satellite navigation
- WiFi: Spread spectrum option
PN Code Properties:
- Autocorrelation: High for synchronized, low for unsynchronized
- Cross-correlation: Low between different codes
- Balance: Equal number of 1s and 0s
- Run Length: Distribution of consecutive bits
Mnemonic: “CDMA - Code Division, same frequency/time, unique codes for Multiple Access”
Question 5(a OR) [3 marks]#
Draw block diagram of Time Division Multiplexing technique (TDM).
Answer:
TDM Block Diagram:
graph LR
A[Input 1] --> E[Multiplexer]
B[Input 2] --> E
C[Input 3] --> E
D[Input N] --> E
E --> F[TDM Signal]
F --> G[Channel]
G --> H[Demultiplexer]
H --> I[Output 1]
H --> J[Output 2]
H --> K[Output 3]
H --> L[Output N]
M[Clock/Sync] --> E
N[Clock/Sync] --> H
TDM Frame Structure:
Components:
- Multiplexer: Samples inputs sequentially
- Clock/Synchronization: Controls switching timing
- Channel: Transmission medium
- Demultiplexer: Separates multiplexed signal
Operation:
- Each input channel gets dedicated time slot
- Sampling rate must satisfy Nyquist criterion
- Frame synchronization required at receiver
Mnemonic: “TDM - Time Division, sequential sampling, Multiplexing”
Question 5(b OR) [4 marks]#
Write a short not on classification of multiplexing techniques.
Answer:
Classification of Multiplexing Techniques:
graph TD
A[Multiplexing] --> B[Analog Multiplexing]
A --> C[Digital Multiplexing]
B --> D[FDM - Frequency Division]
B --> E[WDM - Wavelength Division]
C --> F[TDM - Time Division]
C --> G[CDM - Code Division]
C --> H[SDM - Space Division]
F --> I[Synchronous TDM]
F --> J[Asynchronous TDM]
Detailed Classification:
Type | Method | Domain | Application |
---|---|---|---|
FDM | Frequency separation | Frequency | Radio, TV broadcasting |
TDM | Time slot allocation | Time | Digital telephony |
CDM | Code separation | Code | CDMA cellular |
WDM | Wavelength separation | Wavelength | Optical fiber |
SDM | Space separation | Space | MIMO systems |
Synchronous vs Asynchronous TDM:
Parameter | Synchronous TDM | Asynchronous TDM |
---|---|---|
Time Slots | Fixed allocation | Dynamic allocation |
Efficiency | Lower | Higher |
Complexity | Simple | Complex |
Bandwidth Waste | May occur | Minimal |
Selection Criteria:
- Nature of Signal: Analog → FDM, Digital → TDM
- Bandwidth: Limited → TDM, Abundant → FDM
- Synchronization: Critical → Synchronous, Flexible → Asynchronous
- Application: Voice → TDM, Data → Statistical TDM
Modern Techniques:
- OFDM: Orthogonal Frequency Division Multiplexing
- MIMO: Multiple Input Multiple Output
- Carrier Aggregation: Multiple frequency bands
Mnemonic: “FDM TDM CDM WDM SDM - Frequency Time Code Wave Space Division Multiplexing”
Question 5(c OR) [7 marks]#
Describe the procedure to troubleshoot the code division multiplexing circuit
Answer:
CDMA Troubleshooting Procedure:
1. System Overview Check:
graph TD
A[CDMA System] --> B[Transmitter Section]
A --> C[Channel Section]
A --> D[Receiver Section]
B --> E[Data Input OK?]
B --> F[PN Code Generation OK?]
B --> G[Spreading Function OK?]
C --> H[Path Loss Measurement]
C --> I[Interference Check]
D --> J[Correlation OK?]
D --> K[Despreading OK?]
D --> L[Data Recovery OK?]
2. Step-by-Step Troubleshooting:
Step | Parameter | Test Method | Expected Result |
---|---|---|---|
1 | Input Data | Verify data stream | Clean digital signal |
2 | PN Code | Check code generation | Proper sequence |
3 | Spreading | Monitor XOR output | Spread spectrum signal |
4 | Transmission** | Measure power level | Adequate signal strength |
5 | Reception | Check received signal | Above noise floor |
6 | Correlation | Verify correlator output | Peak at correct timing |
7 | Despreading | Check XOR with local PN | Despread signal |
8 | Data Recovery** | Verify output data | Original data recovered |
3. Common Problems and Solutions:
Problem | Symptoms | Possible Causes | Solutions |
---|---|---|---|
No Signal | Zero output | Power supply failure | Check power connections |
High BER | Many bit errors | Poor correlation | Adjust timing/power |
Interference | Degraded performance | Other users/noise | Power control adjustment |
Sync Loss | Intermittent signal | PN code mismatch | Verify code sequences |
4. Test Equipment Required:
Equipment | Purpose | Measurement |
---|---|---|
Spectrum Analyzer | Signal analysis | Power spectral density |
BER Tester | Error measurement | Bit error rate |
Power Meter | Power measurement | Transmitted/received power |
Oscilloscope | Waveform analysis | Time domain signals |
Vector Analyzer | Modulation quality | EVM, constellation |
5. Measurement Procedures:
Processing Gain Verification:
Gp = 10 log₁₀(Rc/Rb) dB
Where: Rc = chip rate, Rb = bit rate
BER vs Eb/N0 Measurement:
BER = Q(√(2Eb/N0))
Measure at various power levels
Near-Far Effect Check:
- Measure power levels of different users
- Verify power control operation
- Check dynamic range requirements
6. Performance Optimization:
Parameter | Optimization Method | Target Value |
---|---|---|
Power Control | Adjust loop gain | ±1 dB accuracy |
Code Selection | Choose orthogonal codes | Low cross-correlation |
Timing | Synchronize PN generators | <0.5 chip accuracy |
Filtering | Bandlimit signals | Minimize ISI |
7. Documentation:
- Record all measurements
- Document problem symptoms
- Note solutions applied
- Create troubleshooting log
Systematic Approach:
- Isolate: Identify faulty section
- Measure: Use appropriate test equipment
- Analyze: Compare with specifications
- Correct: Apply appropriate solution
- Verify: Confirm problem resolution
Safety Considerations:
- Power levels within safe limits
- Proper grounding procedures
- RF exposure guidelines
- Equipment calibration status
Mnemonic: “CDMA Troubleshoot - Check Data, PN code, Spreading, Channel, Correlation, Recovery”