Question 1(a) [3 marks]#
Define: (1) Bit rate, (2) Baud rate, and (3) Bandwidth
Answer:
| Term | Definition |
|---|---|
| Bit Rate | Number of bits transmitted per second (bps) |
| Baud Rate | Number of signal elements or symbols transmitted per second |
| Bandwidth | Range of frequencies required to transmit a signal, measured in Hertz (Hz) |
Mnemonic: “BBB - Bits move By Bands”
Question 1(b) [4 marks]#
A signal has a bit rate of 8000bps and baud rate of 1000 baud. How many data element is carry by each signal? How many signals element do we need?
Answer:
Table: Signal Calculation
| Parameter | Value | Calculation |
|---|---|---|
| Bit rate | 8000 bps | Given |
| Baud rate | 1000 baud | Given |
| Data elements per signal | 8 bits | Bit rate ÷ Baud rate = 8000 ÷ 1000 = 8 |
| Signal elements needed | 2^8 = 256 | 2^(bits per signal) |
Diagram: Signal Element Representation
graph LR
A[1000 Signals per second] -->|Each signal carries| B[8 bits of data]
B -->|Requires| C[256 different signal elements]
Mnemonic: “Divide to Decide” - Divide bit rate by baud rate to decide how many bits per signal.
Question 1(c) [7 marks]#
Describe Elements of digital communication system with its block diagram
Answer:
Diagram: Digital Communication System
graph LR
A[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[Destination]
Key Elements:
| Element | Function |
|---|---|
| Source | Generates message to be transmitted |
| Source Encoder | Converts message to digital format, removes redundancy |
| Channel Encoder | Adds redundancy for error detection/correction |
| Digital Modulator | Converts digital data to signals suitable for channel |
| Channel | Physical medium that carries the signal |
| Digital Demodulator | Extracts digital information from received signals |
| Channel Decoder | Detects/corrects errors using added redundancy |
| Source Decoder | Reconstructs original message from digital data |
| Destination | Receives the final message |
Mnemonic: “Send Messages Carefully; Destination Must Comprehend Signals Deeply”
Question 1(c OR) [7 marks]#
What is fundamental limitation of digital communication system? What are the advantages and disadvantages of digital communication system?
Answer:
Fundamental Limitations:
| Limitation | Description |
|---|---|
| Bandwidth | Digital signals require more bandwidth than analog |
| Noise | Limits maximum achievable data rate |
| Equipment | Digital systems need complex hardware and processing |
Advantages vs Disadvantages:
| Advantages | Disadvantages |
|---|---|
| Noise Immunity | Higher bandwidth requirements |
| Easy Multiplexing | Complex equipment |
| Error Detection & Correction | Quantization errors |
| Enhanced Security | Synchronization problems |
| Signal Regeneration | Higher initial cost |
| Integration with Computers | Sampling rate limitations |
Mnemonic: “NEEDS” - Noise, Equipment, and Environment Determine Success
Question 2(a) [3 marks]#
Describe QPSK Modulator with block diagram
Answer:
Diagram: QPSK Modulator
Key Components:
- Serial-to-Parallel Converter: Splits data into 2-bit groups
- Cosine Carrier: Modulates first bit (I-channel)
- Sine Carrier: Modulates second bit (Q-channel)
Mnemonic: “Split Pair, Carrier Square” - data split into pairs, carried by squared signals
Question 2(b) [4 marks]#
Describe ASK Modulator with block diagram
Answer:
Diagram: ASK Modulator
ASK Modulation Process:
| Component | Function |
|---|---|
| Digital Input | Binary data (0s and 1s) to be transmitted |
| Carrier Oscillator | Generates high-frequency sine wave |
| Product Modulator | Multiplies input with carrier (ON/OFF) |
| Filter | Removes unwanted frequency components |
Mnemonic: “Amplify Signal when Keen” - carrier amplitude changes when signal is high
Question 2(c) [7 marks]#
Compare ASK, FSK and PSK and Draw the wave form of ASK, FSK and PSK for the input digital signal 100101000101
Answer:
Comparison Table:
| Parameter | ASK | FSK | PSK |
|---|---|---|---|
| Modulation Parameter | Amplitude | Frequency | Phase |
| Noise Immunity | Poor | Moderate | Good |
| Bandwidth | Narrow | Wide | Moderate |
| Power Efficiency | Poor | Moderate | Good |
| Implementation | Simple | Moderate | Complex |
| BER Performance | Poor | Moderate | Good |
Waveforms for input 100101000101:
Mnemonic: “AFP - Alter Frequencies or Phases” to remember modulation types
Question 2(a OR) [3 marks]#
Describe QPSK Demodulator with block diagram
Answer:
Diagram: QPSK Demodulator
Key Components:
- BPF (Bandpass Filter): Removes noise outside signal bandwidth
- Product Detectors: Multiply with carrier signals (cos & sin)
- LPF (Lowpass Filters): Extract original data bits
Mnemonic: “Filtered Pairs Deliver Data” - filters and paired carriers recover data
Question 2(b OR) [4 marks]#
Draw the Constellation diagram of ASK, BPSK and QPSK
Answer:
Constellation Diagrams:
Table: Constellation Characteristics
| Modulation | Points | Phase States | Amplitude States |
|---|---|---|---|
| ASK | 2 | 1 (0°) | 2 (0, A) |
| BPSK | 2 | 2 (0°, 180°) | 1 (A) |
| QPSK | 4 | 4 (45°, 135°, 225°, 315°) | 1 (A) |
Mnemonic: “Points Double When Phases Double” - BPSK has 2 points, QPSK has 4 points
Question 2(c OR) [7 marks]#
Describe FSK Modulator and demodulator with block diagram and output wave form
Answer:
FSK Modulator Diagram:
FSK Demodulator Diagram:
FSK Waveform:
Key Components:
| Component | Function |
|---|---|
| Oscillators | Generate different frequencies for 0 and 1 |
| Bandpass Filters | Separate the two frequencies |
| Envelope Detectors | Extract amplitude variations |
| Threshold Detectors | Convert analog to digital |
Mnemonic: “Frequency Shift Key - Two Tones Tell Truth”
Question 3(a) [3 marks]#
State the significance of probability in communication
Answer:
| Significance | Description |
|---|---|
| Information Measurement | Quantifies uncertainty/surprise in messages |
| Channel Capacity | Determines maximum possible data rate |
| Error Analysis | Predicts and minimizes communication errors |
Mnemonic: “ICE - Information, Capacity, Errors” need probability
Question 3(b) [4 marks]#
State channel capacity in terms of SNR and explain its importance
Answer:
Shannon’s Channel Capacity Formula:
C = B × log₂(1 + SNR)
Where:
- C = Channel capacity (bits/second)
- B = Bandwidth (Hz)
- SNR = Signal-to-Noise Ratio
Importance:
| Aspect | Importance |
|---|---|
| Theoretical Limit | Defines maximum possible error-free data rate |
| System Design | Guides bandwidth and power requirements |
| Performance Evaluation | Benchmark for actual system performance |
| Coding Efficiency | Indicates how close a system is to optimal performance |
Mnemonic: “BEST” - Bandwidth and Error-free Signal Transmission
Question 3(c) [7 marks]#
Discuss classification of line codes with suitable example
Answer:
Diagram: Line Code Classification
graph TD
A[Line Codes] --> B[Unipolar]
A --> C[Polar]
A --> D[Bipolar]
B --> B1[NRZ]
B --> B2[RZ]
C --> C1[NRZ]
C --> C2[RZ]
D --> D1[AMI]
D --> D2[Pseudoternary]
Line Code Examples:
graph TD
subgraph "Digital Data"
D["1 0 1 1 0 1 0 0"]
end
subgraph "Unipolar NRZ"
U["High Low High High Low High Low Low"]
end
subgraph "Polar NRZ"
P["+V -V +V +V -V +V -V -V"]
end
subgraph "Bipolar AMI"
B["+V 0 -V +V 0 -V 0 0"]
end
Waveform Visualization:
Comparison Table:
| Line Code Type | Signal Levels | DC Component | Clock Recovery | Bandwidth |
|---|---|---|---|---|
| Unipolar NRZ | 0, +A | Yes | Poor | Narrow |
| Polar NRZ | -A, +A | Maybe | Poor | Moderate |
| Bipolar AMI | -A, 0, +A | No | Good | Wide |
Mnemonic: “UPB - Use Proper Bits” for Unipolar, Polar, Bipolar
Question 3(a OR) [3 marks]#
Discuss conditional probability
Answer:
Conditional Probability Definition:
P(A|B) = P(A∩B) / P(B)
Table: Conditional Probability in Communication
| Application | Description |
|---|---|
| Channel Modeling | Probability of receiving Y given X was sent |
| Error Detection | Probability of error given specific patterns |
| Decision Making | Optimizing receiver decisions based on observations |
Mnemonic: “CEaD” - Calculate Events after Data
Question 3(b OR) [4 marks]#
Define Entropy and Information. Discuss its physical significance
Answer:
Definitions:
| Term | Definition | Formula |
|---|---|---|
| Entropy | Average information content of a source | H(X) = -∑P(x)log₂P(x) |
| Information | Measure of uncertainty reduction | I(x) = log₂(1/P(x)) |
Physical Significance:
| Aspect | Significance |
|---|---|
| Unpredictability | Higher entropy means less predictable source |
| Compression Limit | Minimum bits needed to represent a source |
| Optimal Coding | Guides efficient source coding design |
| Resource Allocation | Determines bandwidth/power requirements |
Mnemonic: “UCOR” - Uncertainty Correlates with Optimal Resources
Question 3(c OR) [7 marks]#
Describe Huffman code with suitable example
Answer:
Huffman Coding: Variable-length prefix code for lossless data compression
Example: Encoding symbols {A, B, C, D, E}
Step 1: Calculate probabilities
| Symbol | Probability |
|---|---|
| A | 0.4 |
| B | 0.2 |
| C | 0.2 |
| D | 0.1 |
| E | 0.1 |
Step 2: Build Huffman Tree
graph LR
A["1.0"] --> B["0.6"]
A --> C["0.4 (A)"]
C --> C1["0"]
B --> D["0.3"]
B --> E["0.3"]
D --> F["0.2 (B)"]
D --> G["0.1 (E)"]
F --> F1["0"]
G --> G1["1"]
E --> H["0.1 (D)"]
E --> I["0.2 (C)"]
H --> H1["1"]
I --> I1["0"]
Step 3: Assign codes
| Symbol | Probability | Huffman Code |
|---|---|---|
| A | 0.4 | 0 |
| B | 0.2 | 10 |
| C | 0.2 | 11 |
| D | 0.1 | 100 |
| E | 0.1 | 101 |
Average code length: (0.4×1) + (0.2×2) + (0.2×2) + (0.1×3) + (0.1×3) = 1.8 bits/symbol
Mnemonic: “HIGH PROB, LOW BITS” - Higher probability symbols get shorter codes
Question 4(a) [3 marks]#
List Data transmission techniques
Answer:
Table: Data Transmission Techniques
| Technique | Description |
|---|---|
| Serial Transmission | Bits sent one after another over single channel |
| Parallel Transmission | Multiple bits sent simultaneously over multiple channels |
| Synchronous Transmission | Data sent in blocks with timing controlled by clock |
| Asynchronous Transmission | Data sent with start/stop bits, no common clock |
| Half-Duplex | Data flows in both directions but not simultaneously |
| Full-Duplex | Data flows in both directions simultaneously |
Mnemonic: “SPASH-F” - Serial, Parallel, Asynchronous, Synchronous, Half/Full
Question 4(b) [4 marks]#
Explain needs of multimedia processing for communication
Answer:
Multimedia Processing Needs:
| Need | Description |
|---|---|
| Compression | Reduces bandwidth requirements for large media files |
| Format Standardization | Ensures compatibility across different systems |
| Quality Control | Maintains acceptable audio/video quality levels |
| Synchronization | Coordinates different media types (audio, video, text) |
| Error Resilience | Protects against data loss during transmission |
Diagram: Multimedia Processing Flow
graph LR
A[Raw Media] --> B[Compression]
B --> C[Format Conversion]
C --> D[Error Protection]
D --> E[Transmission]
E --> F[Error Correction]
F --> G[Decompression]
G --> H[Playback]
Mnemonic: “CQSEF” - Compress Quality, Standardize and Ensure Fidelity
Question 4(c) [7 marks]#
Explain data transmission mode
Answer:
Table: Data Transmission Modes
| Mode | Direction | Operation | Example |
|---|---|---|---|
| Simplex | One-way only | Sender can’t receive | Radio broadcast |
| Half-Duplex | Two-way, alternating | Only one device transmits at a time | Walkie-talkie |
| Full-Duplex | Two-way, simultaneous | Both devices transmit at same time | Telephone call |
Diagram: Data Transmission Modes
Comparison:
| Parameter | Simplex | Half-Duplex | Full-Duplex |
|---|---|---|---|
| Channel Usage | 100% one way | 100% alternating | 100% both ways |
| Efficiency | Low | Medium | High |
| Implementation | Simple | Moderate | Complex |
| Cost | Low | Medium | High |
Mnemonic: “SHF - Speed and Handling Factors” for Simplex, Half-duplex, Full-duplex
Question 4(a OR) [3 marks]#
List Important characteristics of data communication
Answer:
Key Data Communication Characteristics:
| Characteristic | Description |
|---|---|
| Delivery | System must deliver data to correct destination |
| Accuracy | Data must arrive without alteration |
| Timeliness | Data must arrive within useful timeframe |
| Jitter | Variation in packet arrival times |
| Security | Protection from unauthorized access |
| Reliability | System resilience against failures |
Mnemonic: “DATJSR” - Delivery, Accuracy, Timeliness, Jitter, Security, Reliability
Question 4(b OR) [4 marks]#
Discuss the standards for data communication
Answer:
Table: Key Data Communication Standards
| Standard | Organization | Purpose |
|---|---|---|
| IEEE 802.x | IEEE | LAN/MAN networking protocols |
| X.25, X.400 | ITU-T | Packet switching, messaging |
| TCP/IP | IETF | Internet protocols |
| RS-232/422/485 | EIA/TIA | Physical interfaces |
| USB, HDMI | USB-IF, HDMI Forum | Device connections |
Standards Organizations:
| Organization | Role |
|---|---|
| IEEE | Technical standards for networks |
| ITU-T | Telecommunications standards |
| IETF | Internet protocols |
| ISO | Overall standardization |
Mnemonic: “PITS” - Protocols, Interfaces, Transmission and Standards
Question 4(c OR) [7 marks]#
Explain model of Multimedia communications and elements of Multimedia system
Answer:
Multimedia Communication Model:
graph LR
A[Content Creation] --> B[Compression]
B --> C[Storage]
C --> D[Distribution]
D --> E[Decompression]
E --> F[Presentation]
Multimedia System Elements:
| Element | Function |
|---|---|
| Input Devices | Capture multimedia content (camera, microphone) |
| Processing Hardware | CPU, GPU for handling multimedia data |
| Storage | Hard drives, SSDs, cloud storage |
| Communication Network | Transmits multimedia data between systems |
| Output Devices | Display, speakers for content presentation |
| Software | Codecs, players, editors for content manipulation |
Media Types:
| Media Type | Characteristics | Common Formats |
|---|---|---|
| Audio | Temporal, streaming | MP3, WAV, AAC |
| Video | Temporal, spatial, high bandwidth | MP4, AVI, HEVC |
| Image | Spatial, static | JPEG, PNG, GIF |
| Text | Structured, low bandwidth | TXT, HTML, XML |
Mnemonic: “CNIS-OS” - Capture, Network, Input-output, Storage, Output, Software
Question 5(a) [3 marks]#
Explain important elements of 5G technology
Answer:
Key 5G Elements:
| Element | Description |
|---|---|
| Millimeter Waves | Higher frequency (24-100 GHz) for more bandwidth |
| Massive MIMO | Multiple-input multiple-output antennas for improved capacity |
| Beamforming | Focused signal transmission for better efficiency |
| Network Slicing | Virtual networks on shared infrastructure |
| Edge Computing | Processing closer to data source for lower latency |
Mnemonic: “MMBN-E” - Millimeter, MIMO, Beamforming, Network, Edge
Question 5(b) [4 marks]#
Describe Spread spectrum communication
Answer:
Spread Spectrum Definition: Technique where signal is spread over a wide frequency band, much wider than the minimum bandwidth required.
Types of Spread Spectrum:
| Type | Method | Advantages |
|---|---|---|
| DSSS (Direct Sequence) | XOR data with higher-rate pseudorandom code | Good noise immunity |
| FHSS (Frequency Hopping) | Rapidly switches carrier among many frequencies | Resists jamming |
| THSS (Time Hopping) | Transmits in short bursts at different time slots | Low probability of intercept |
Diagram: DSSS Process
Mnemonic: “DFT - Difficult For Trackers” - Direct, Frequency, Time Hopping
Question 5(c) [7 marks]#
Explain block diagram of satellite communication
Answer:
Satellite Communication Block Diagram:
graph LR
A["Satellite Transponder"] --- B["Uplink"]
A --- C["Downlink"]
B --- D["Earth Station Tx"]
C --- E["Earth Station Rx"]
classDef satellite fill:#f9f,stroke:#333,stroke-width:2px;
classDef earth fill:#9cf,stroke:#333,stroke-width:2px;
classDef link stroke-dasharray: 5 5;
class A satellite;
class D,E earth;
class B,C link;
Key Components:
| Component | Function |
|---|---|
| Earth Station (Tx) | Source of signals, performs uplink functions |
| Uplink | Transmission from earth to satellite (higher frequency) |
| Satellite Transponder | Receives, amplifies, and retransmits signals |
| Downlink | Transmission from satellite to earth (lower frequency) |
| Earth Station (Rx) | Receives and processes downlink signals |
Frequency Bands:
| Band | Frequency Range | Applications |
|---|---|---|
| C-band | 4-8 GHz | Television, voice, data |
| Ku-band | 12-18 GHz | Direct broadcast, VSAT |
| Ka-band | 26-40 GHz | High-speed data, internet |
Mnemonic: “STUDER” - Station Transmits Uplink, Downlink to Earth Receiver
Question 5(a OR) [3 marks]#
Explain features and advantages of 5G technology
Answer:
5G Features and Advantages:
| Feature | Advantage |
|---|---|
| High Speed | Up to 10 Gbps data rates for faster downloads |
| Ultra-Low Latency | <1ms response time for real-time applications |
| Massive Connectivity | Up to 1 million devices per sq. km |
| Network Slicing | Customized virtual networks for specific applications |
| Improved Reliability | 99.999% availability for critical services |
| Energy Efficiency | Lower power consumption per bit of data |
Mnemonic: “HUMNER” - High-speed, Ultra-low latency, Massive connectivity, Network slicing, Enhanced reliability
Question 5(b OR) [4 marks]#
Describe Edge Computing
Answer:
Edge Computing Definition: Computing paradigm that brings data processing closer to the source of data generation.
Diagram: Edge Computing Architecture
graph LR
A[IoT Devices] --> B[Edge Devices]
B --> C[Edge Servers]
C --> D[Cloud Data Centers]
Key Characteristics:
| Characteristic | Description |
|---|---|
| Proximity | Processing near data source reduces latency |
| Distributed | Computing resources spread across network edge |
| Real-time Processing | Fast response for time-critical applications |
| Bandwidth Optimization | Reduces data sent to central cloud |
| Data Privacy | Sensitive data processed locally |
Mnemonic: “PDRBD” - Process Data Rapidly By Distributing
Question 5(c OR) [7 marks]#
Explain importance of block chain in Communication Security
Answer:
Blockchain in Communication Security:
graph LR
A[Transaction Request] --> B[Block Creation]
B --> C[Block Verification]
C --> D[Block Addition to Chain]
D --> E[Chain Distribution]
Security Benefits:
| Benefit | Description |
|---|---|
| Immutability | Once recorded, data cannot be altered |
| Decentralization | No single point of failure or control |
| Transparency | All transactions visible to network participants |
| Cryptographic Security | Strong encryption protects data integrity |
| Smart Contracts | Self-executing agreements with built-in security |
| Consensus Mechanisms | Multiple validators ensure transaction legitimacy |
Communication Applications:
| Application | Security Benefit |
|---|---|
| Secure Messaging | End-to-end encryption with tamper-proof records |
| Identity Management | Self-sovereign identity verification |
| IoT Security | Secure device authentication and data integrity |
| Network Infrastructure | Secure routing and DNS systems |
Mnemonic: “DTCSCI” - Decentralized Transparent Cryptographic System Creates Immutability

