Skip to main content

Wireless Communication Interview Questions | Page 3


Wireless Communication Fundamentals

Q. Examples of non-wireless (guided) media

A. Co-axial cables (used in cable TV), Fiber Optics (high-speed data), and Twisted Pair cables (Ethernet/Telephone lines).

Q. Who pioneered millimeter-wave communication?

A. Sir Jagadish Chandra Bose conducted pioneering research into millimeter-length electromagnetic waves in the 1890s.

Q. Which device provides wireless signals from towers to home routers?

A. Base Stations (eNodeB/gNodeB) use high-gain antennas to transmit data. A typical macro base station transmits at roughly 40 Watts per sector.

Q. Which wireless technology provides Metropolitan Area coverage (WMAN)?

A. WiMAX (802.16) and LTE/5G are designed for Metropolitan Area Networks, whereas WLAN (Wi-Fi) is for short-range local areas.

Antenna, dB, and MIMO Systems

Q. What are dB and dBm?

A. dB (Decibel) is a relative ratio: $dB = 10 \times \log_{10}(P_{out} / P_{in})$.
dBm is absolute power relative to 1 milliwatt: $dBm = 10 \times \log_{10}(Power / 1mW)$.
Note: 30 dBm is equal to 1 Watt.

Q. What is Spatial Division Multiplexing (SDM)?

A. SDM is a MIMO technique that transmits multiple independent data streams simultaneously over the same frequency channel by using the spatial separation of antennas.

Q. How many antennas are used in the Alamouti scheme?

A. It typically uses 2 transmitter antennas and 1 or more receiver antennas (2x1 or 2x2 MIMO) to achieve transmit diversity.

Q. What is an outage in wireless communication?

A. An outage occurs when the required data rate (R) exceeds the instantaneous channel capacity (C). In this state, the Signal-to-Noise Ratio is too low to decode the data reliably.

Q. What are S11 and S21 in MIMO antennas?

A. S11 is the Reflection Coefficient (Return Loss); it measures how much power is reflected back from the antenna. S21 is the Transmission Coefficient; in MIMO, it measures the "mutual coupling" or interference between two adjacent antenna elements. Ideally, S21 should be less than -20 dB.

Q. What is Beamforming?

A. Beamforming is a signal processing technique used in antenna arrays to focus the transmitted power in a specific direction toward a user, increasing gain and reducing interference to other users.

Wireless Channel Models & Small-Scale Fading

Q. What is the primary difference between Rayleigh and Rician fading? A. **Rayleigh fading** occurs when there is no direct Line-of-Sight (LoS) path between the transmitter and receiver; the signal arrives via multiple reflected paths. **Rician fading** is used when a dominant LoS component is present along with the multipath components. Q. What causes "deep fades" in a Rayleigh environment? A. Deep fades are caused by the **destructive interference** of multipath components. Since the In-phase and Quadrature components of the signal are modeled as zero-mean Gaussian random variables, they can occasionally sum to zero, causing the signal amplitude to drop to near-zero. Q. How can deep fades be mitigated without increasing transmit power? A. The most effective way is through **Diversity techniques**. This includes Time Diversity (interleaving and coding), Frequency Diversity (OFDM), or Spatial Diversity (Multiple antennas/MIMO). These ensure that if one version of the signal is in a deep fade, another version likely isn't. Q. How does Doppler Spread affect the coherence time of a channel? A. Doppler Spread ($B_D$) is inversely proportional to the Coherence Time ($T_C$). High mobility (high Doppler) results in a low coherence time, meaning the channel characteristics change very rapidly, leading to "Fast Fading." Formula: $T_C \approx \frac{1}{B_D}$ Q. Why is the BER in a Rayleigh fading channel much higher than in an AWGN-only channel? A. In an AWGN-only channel, the signal power is constant. In Rayleigh fading, the instantaneous SNR fluctuates. The **deep fades** (low SNR events) dominate the average Bit Error Rate, causing the BER curve to decay linearly (1/SNR) rather than exponentially as it does in AWGN.

Adaptive Techniques & Reliability

Q. What is the role of an Adaptive Equalizer in a fading channel? A. An adaptive equalizer tracks the time-varying impulse response of the channel in real-time. It attempts to "invert" the channel's distortion to mitigate Intersymbol Interference (ISI) caused by multipath delay spread. Q. What is "Outage Probability" and why is it used? A. Outage Probability is the probability that the instantaneous SNR falls below a specific threshold required for reliable communication. In fading channels, we cannot guarantee 100% connectivity, so we design systems for a specific "Reliability" (e.g., 99.9%). Q. Why is BPSK more robust than 64-QAM in a fading environment? A. BPSK has the largest **Euclidean distance** between its constellation points. In a deep fade, the signal amplitude shrinks; because 64-QAM points are packed very tightly, even a small amount of noise or a shallow fade can cause the receiver to pick the wrong symbol. Q. How do we demodulate a signal if the instantaneous channel phase is unknown? A. By using Differential Modulation (e.g., DPSK). Instead of absolute phase, information is encoded in the phase *difference* between consecutive symbols. This allows the receiver to decode the data without needing an explicit estimate of the channel's phase. Q. What is Coherence Bandwidth ($B_C$)? A. It is the range of frequencies over which the channel is considered "flat" (all frequencies experience similar fading). If the signal bandwidth is much larger than $B_C$, the signal experiences **Frequency Selective Fading**, which causes ISI.


Contact Us

Name

Email *

Message *

Popular Posts

LDPC Encoding and Decoding Techniques

Low Density Parity Check (LDPC) Guide Comprehensive analysis of linear error-correcting block codes, Tanner graphs, and 5G-NR implementations. 📘 Overview 🧮 Encoding 🧩 Decoding 📚 Resources Theory Encoding Tech Tanner Graph 5G Encoding Decoding 'LDPC' is the abbreviation for 'low density parity check'. LDPC code H matrix contains very few amount of 1's and mostly zeroes. LDPC codes are error correcting code. Using LDPC codes, channel capacities that are close to the theoretical Shannon limit can be achieved. Low density parity check (LDPC) codes are linear error-correcting block code suitable for error correction in a large block sizes transmi...

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. 📡 ASK Simulator đŸ“ļ FSK Simulator 🎚️ BPSK Simulator 📚 More Topics ASK Modulator FSK Modulator BPSK Modulator Demodulation More Topics 1. ASK (Ampli...

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 📊 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) đŸ“Ĩ Download UGC NET Electronics PDFs Complete collection of previous year question papers, answer keys and explanations for Subject Code 88. Start Downloading 📂 View All Question Papers June 2025 - Question Paper Download PDF June 2025 - Sol...

Gaussian minimum shift keying (GMSK)

📘 Overview & Theory 🧮 Simulator for GMSK 🧮 MSK and GMSK: Understanding the Relationship 🧮 MATLAB Code for GMSK 📚 Simulation Results for GMSK 📚 Q & A and Summary 📚 Further Reading Dive into the fascinating world of GMSK modulation, where continuous phase modulation and spectral efficiency come together for robust communication systems! Core Process of GMSK Modulation Phase Accumulation (Integration of Filtered Signal) After applying Gaussian filtering to the Non-Return-to-Zero (NRZ) signal, we integrate the smoothed signal to produce a continuous phase signal. For GMSK, the modulation index is $h=0.5$, meaning a bit '1' results in a phase shift of $\pi/2$: θ(t) = 2Ī€h ∫ 0 t m filtered (Ī„) dĪ„ This integration is crucial for avoiding abrupt phase transitions, ensuring smooth and continuous phase changes. Phase Mo...

Constellation Diagrams of ASK, PSK, and FSK (with MATLAB Code + Simulator)

Constellation Diagrams: ASK, FSK, and PSK Comprehensive guide to signal space representation, including interactive simulators and MATLAB implementations. 📘 Overview 🧮 Simulator ⚖️ Theory 📈 Q-function 📚 Resources BASK Modulation Transmits one of two signals: 0 or $\sqrt{E_b}$, representing binary 0 and 1. Simple but sensitive to noise. BFSK Modulation Transmits one of two signals: $\sqrt{E_b}$ on the Y-axis or $\sqrt{E_b}$ on the X-axis. These are orthogonal signals. BPSK Modulation Transmits $+\sqrt{E_b}$ or $-\sqrt{E_b}$ (antipodal signaling). Most efficient binary scheme. ...

1G to 5G Technology - Evolution of Wireless Generations

Cellular wireless evolution Generation Frequency band PHY features Data rate Spectral Eff. (bps/Hz) 1G 850 MHz FDMA, FM N/A N/A 2G 900 MHz, 1.8 GHz TDMA/CDMA, GMSK/QPSK, FEC, PC 10 Kbps < 1 3G 1.8–2.5 GHz CDMA, QAM 1–40 Mbps 1–8 4G 2–8 GHz OFDMA, SC-FDMA, QAM, MIMO-OFDM 100–600 Mbps 15 5G 1–6 GHz mm wave (26–28 GHz) < 1 GHz (massive IoT) visible light? massive MIMO, beamforming D2D, Full duplex, NOMA LDPC and Polar codes OFDM & variants (adapted to extremes?) multi-Gbps several tens Waveform design is the major change between the generations Mobile Wireless Generations Specifications  1G  Voice, Analog traffic, FDMA  2G  Voice, SMS, CS data ...

MATLAB Code for OTFS (Orthogonal Time Frequency Space)

MATLAB Code for OTFS (Orthogonal Time Frequency Space) %% Clear workspace clc; clear; close all ; %% Step 1: OTFS Parameters N_delay = 4; % Number of delay bins (rows) N_doppler = 4; % Number of Doppler bins (columns) N_sym = N_delay * N_doppler; modOrder = 4; % QPSK SNR_dB = 20; % Noise level %% Step 2: Generate random data symbols data = randi([0 modOrder-1], N_sym, 1); txSymbols = pskmod(data, modOrder, pi/4); disp( 'Transmitted Delay-Doppler symbols:' ); disp(reshape(txSymbols, N_delay, N_doppler)); %% Step 3: Map Delay-Doppler → Time-Frequency (ISFFT) % ISFFT: Inverse Symplectic Finite Fourier Transform % 1. Take IDFT along Doppler (columns) % 2. Take DFT along Delay (rows) ddSymbols = reshape(txSymbols, N_delay, N_doppler); % Step 3a: IDFT along columns (Doppler) tfGrid = ifft(ddSymbols, N_doppler, 2); %IFFT (accross columns) along Doppler → spreads in time (Delay → Time) %FFT (accross rows)along Delay → spreads in frequency (Delay → Frequency) % Step 3b: DFT along ...