Skip to main content

Wireless Communication Interview Questions | Page 4


Data Communication

Q. Criteria for cable selection for data transmission
A. Selection depends on Bandwidth requirements, transmission distance (attenuation), electromagnetic interference (EMI) resistance, and cost.

Q. 2.4GHz vs 5GHz WiFi performance
A. 5 GHz offers higher speeds and less congestion but has a shorter range. 2.4 GHz has better wall penetration but is often congested by other household devices (Bluetooth, microwaves).

Q. What is the baud rate of a channel transferring 20 symbols in 5 seconds?
A. Baud rate = Total Symbols / Total Time = 20 / 5 = 4 Baud.

Q. Why are wireless channels more prone to bit errors than wired?
A. Due to multi-path fading, atmospheric interference, shadowing, and the open nature of the medium which introduces more noise.

Frequency Bands

Q. What is the SHF frequency range?
A. Super High Frequency (SHF) ranges from 3 GHz to 30 GHz.

Q. What is the UWB frequency range?
A. Ultra-Wideband (UWB) typically operates in the 3.1 GHz to 10.6 GHz range.

5G & Antennas

Q. How does 5G achieve higher reliability than 4G?
A. Through URLLC (Ultra-Reliable Low Latency Communications) features, advanced channel coding (LDPC/Polar codes), and massive MIMO.

Q. The best antenna spacing for a Broadside Array (BSA) is:
A. Generally $\lambda/2$ (half-wavelength) to avoid grating lobes while maintaining high directivity.

Networking & IoT

Q. The data plane in the network model is responsible for:
A. Forwarding user data packets from an input interface to an output interface based on the control plane's logic.

Q. What is Machine-to-Machine (M2M) communication in IoT?
A. It refers to automated data exchange between devices without human intervention (e.g., a smart meter sending usage data to a utility server).

Signal Processing

Q. What is Aliasing?
A. Aliasing is a distortion that occurs when a signal is sampled at a rate less than the Nyquist rate, causing high-frequency components to "fold" into lower frequencies.

Q. What is a Raised Cosine Filter?
A. It is a pulse-shaping filter used in digital modulation to minimize Inter-Symbol Interference (ISI) by providing a smooth transition in the frequency domain.



Contact Us

Name

Email *

Message *

Popular Posts

CMOS Logic Gates: Inverter, NAND, and NOR

CMOS Logic Gates: Inverter, NAND, and NOR Complementary metal–oxide–semiconductor (CMOS) technology forms the backbone of modern digital IC design. Patented by Frank Wanlass in 1963 ( US patent 3,356,858 ), CMOS enables low-power, high-speed, and noise-immune logic circuits. CMOS gates, including inverters, NAND, and NOR, are widely used in both large-scale and small-scale integrated circuits due to their efficiency and versatility. CMOS Inverter A CMOS inverter consists of a complementary pair of PMOS and NMOS transistors. The PMOS transistor connects to the supply voltage V DD , while the NMOS connects to ground. The input voltage V IN controls both gates, and the output voltage V OUT is taken from the connected drains. CMOS inverters are highly energy-efficient and produce minimal heat due to their comple...

UGC NET Electronic Science Previous Year Question Papers with Solutions

Download Papers and Solutions Exam Pattern Preparation Tips FAQs More Home / Engineering & Other Exams / UGC NET 2026 PYQ ๐Ÿ“Š Exam Highlights: Electronic Science (88) Feature Details Junior Research Fellowship (JRF) ₹37,000 + HRA per month Eligibility M.Sc/M.Tech in Electronics (55%) Validity of Certificate JRF (3 Years) | Lectureship (Lifetime) ๐Ÿ“ฅ Download UGC NET Electronics PDFs Complete collection of previous year question papers, answer keys and explanations for Subject Code 88. Start Downloading ๐Ÿ“‚ View All Question Papers June 2026 - Question Paper Download PDF June 202...

Decision Feedback Equalizer (DFE) in MATLAB

  MATLAB Code M = 4; % QPSK numSymbols = 10000; numTrainingSymbols = 5000; chtaps = [1 0.5*exp(1i*pi/6) 0.1*exp(-1i*pi/8)]; % Generate QPSK symbols data = randi([0 M-1], numSymbols, 1); tx = pskmod(data, M, pi/4); % DFE setup eq = comm.DecisionFeedbackEqualizer; eq.ReferenceTap = 1; eq.NumForwardTaps = 5; eq.NumFeedbackTaps = 3; % SNR sweep snrVec = 0:5:25; % 0,5,10,...25 dB berBefore = zeros(size(snrVec)); berAfter = zeros(size(snrVec)); for k = 1:length(snrVec) % Apply channel and AWGN rx = awgn(filter(chtaps,1,tx), snrVec(k), 'measured' ); % BER before equalization rxDataNoEq = pskdemod(rx, M, pi/4); [~, berBefore(k)] = biterr(data, rxDataNoEq); % Equalize [y,~,~] = eq(rx, tx(1:numTrainingSymbols)); % Phase correction phaseOffset = angle(mean(conj(tx(1:numTrainingSymbols)) .* y(1:numTrainingSymbols))); yCorrected = y * exp(-1i*phaseOffset); % BER after equalization rxDataEq = pskdemod(yCorrected, M, pi/4); [...

Online Simulator for Frequency Modulatiuon and Demodulation

FM Modulation Simulator Frequency Modulation (FM) In Frequency Modulation, the frequency of the carrier signal varies in accordance with the message signal's amplitude. s FM (t) = A c cos(ฯ‰ c t + k f ∫m(t)dt) where ฯ‰ = 2ฯ€f & k f = Frequency Sensitivity Modulation index, ฮฒ = (k f * A m ) / f m Change the parameter values to see the effect. Message Freq (Hz) 1 Carrier Freq (Hz) Message Amplitude (Am) Kf (sensitivity): 50 Perform FM Demodulation ๐Ÿงช Experiment for Students: ...

Filter & Q-Factor Online Simulation

Unified Filter & Q-Factor Analyzer Exploring Gain, Selectivity, ripples, and Side-Lobes Design Relationship Q = f c / BW BW = -- Hz Transfer Function Characteristic |H(f)| ≈ 1 / √(1 + ฮต 2 C n 2 ) Control Panel Filter Type: Butterworth (Flat / No Lobes) Chebyshev (Equiripple / Side-Lobes) Center Frequency: 1000 Hz Quality Factor (Q): 5.0 Ripple/Lobe Intensity: 0.5 Recommended Design Multiple Feedba...

Superheterodyne Receiver Online Simulator

Superheterodyne Receiver Simulator Simulation Controls Message Frequency (Hz): Carrier Frequency (Hz): Intermediate Frequency (Hz): Sampling Frequency (Hz): Simulation Duration (s): Run Simulation Signal Plots Numerical Values (first 10 samples) Superheterodyne Receiver Workflow The superheterodyne receiver converts a received RF signal to an intermediate frequency (IF) to simplify filtering and amplification, and finally recovers the original message signal. Steps: Input Message Signal: A low-frequency signal m(t) (e.g., sine wave). RF Modulation (AM): The message modulates the carrier with amplitude modulation: RF(t) = [1 + K_a * m(t)] * cos(2ฯ€ f_c t) Mixing with Local Oscillator (LO): The RF signal is multiplied by a local oscillator LO(t) = cos(2ฯ€ f_LO t) to produce: IF(t) = RF(t) * LO(t) Intermediate Frequency Filtering: A low-pass filter extracts t...

Online Simulator for ASK, FSK, and PSK Signal Generation

Interactive Digital Signal Processing (DSP) Tutorial and Simulator for ASK, FSK, and BPSK modulation techniques. Try our new Digital Signal Processing Simulator!   •   Interactive ASK, FSK, and BPSK tools updated for 2025. Start Now Digital Modulation Visualizer: ASK, FSK, & BPSK Simulator Learn and visualize binary modulation techniques (ASK, FSK, BPSK) in real-time with adjustable carrier and sampling parameters. Perfect for DSP students and engineers. ๐Ÿ“ก ASK Simulator ๐Ÿ“ถ FSK Simulator ๐ŸŽš️ BPSK Simulator ๐Ÿ“š More Topics ASK Modulator FSK Modulator BPSK Modulator Demodulation More Topics 1. ASK (Ampli...

Consider a discrete memoryless source with an alphabet of four source symbols. s(t) is a multi-level (-1, 0, +1, +2) ...

  Q. Consider a discrete memoryless source with an alphabet of four source symbols. The signal s(t) has four levels (-1, 0, +1, +2) and generates 10 4 symbols per second. Find the equivalent Nyquist bandwidth. (A) 10 kHz (B) 64 kHz (C) 5 kHz (D) 20 kHz  Given Number of signal levels: M = 4 Symbol rate: R s = 10 4 symbols/s Signal levels: -1, 0, +1, +2 Calculate Nyquist bandwidth For ideal Nyquist signaling, the minimum bandwidth can be expressed in terms of the symbol rate: B = R s / 2 B = 10,000 / 2 = 5,000 Hz Correct answer Option (C) — 5 kHz Using the symbol-rate definition of Nyquist bandwidth, B = R s /2 gives 5 kHz. Don't confuse symbol rate with ...