Skip to main content

Frequently Asked Questions about 5G | 1G to 5G, Side Effects, Modulation ...


5G Technology Questions and Answers

Following questions were raised by anonymous website visitors or readers to the online publishers. We'll check up a few queries among them below.

General 5G Questions

Reason behind change in network upgradation from 1G to 5G?

In a nutshell, the answer to this issue is that bandwidth demands are increasing. The bandwidth allotted to a specific service, for example, is fixed. Now, if the number of devices linked to the internet is growing by the day, what would you do to meet the increasing bandwidth demand?

As a result, every few decades, a whole new G (or generation in cellular wireless communication) appears to meet the required requirements. Read More ...

Does my PDA support 5G?

It is entirely dependent on the mobile or cell phone's operational frequency band. More specifically, the frequency band that your mobile antenna receives or broadcasts is determined by your antenna.

Can a CSE study 5G courses?

Prerequisites to pursuing a 5G course:

You must have some good understanding in previous G's especially in Telecommunication to pursue a 5G course. Here concept of cell, operating frequency, infrastructure all are different as compare to 3G or 4G network.

You must have basic knowledge about wireless channel model, modulation schemes used in 3G and 4G, antennas used in those technologies, etc. Knowledge on 5G MIMO Technology, SVD, UWB or millimeter wave is a big plus.

Any side effects of 5G cables overhead my house?

No

Any side effects of 5G cell tower around my house?

In reality, cell towers emit radiation at a level that is safe for humans. Only when you receive a call or your signal level drops, the cell tower provides more power to your phone. However, that power is also below the standard of safety.

5G Signal Processing & Technical Concepts

1) What waveform is used in 5G NR and why?

5G NR primarily uses CP-OFDM for both uplink and downlink.

  • Handles multipath fading efficiently
  • Supports high data rates
  • Flexible numerology

In uplink, DFT-s-OFDM is used to reduce PAPR.

2) What is Numerology in 5G?

Subcarrier spacing formula:

Δf = 15 × 2^μ kHz

μ = 0,1,2,3,4

3) Massive MIMO

Massive MIMO uses large antenna arrays (e.g., 64, 128 antennas).

  • Beamforming gain
  • Spatial multiplexing
  • Increased capacity

4) Beamforming

Beamforming focuses signal energy in a specific direction using antenna arrays.

y = w^H x

5) Channel Estimation in 5G

  • DMRS
  • SRS
  • CSI-RS
H(k) = Y(k) / X(k)

6) PAPR

PAPR = max|x(t)|² / E[|x(t)|²]

7) LDPC and Polar Codes

  • LDPC – Data channels
  • Polar Codes – Control channels

8) LTE vs 5G Comparison

Feature LTE 5G
Numerology Fixed 15 kHz Scalable
Coding Turbo LDPC + Polar
MIMO Up to 8x8 Massive MIMO

9) What is mmWave?

Millimeter wave band provides huge bandwidth and ultra-low latency. Wavelength spans between 10 millimeter to 1 millimeter.

10) Role of FFT in 5G

  • Demodulation
  • Equalization
  • Channel estimation

Internet of Things (IoT)

How is career in IoT?

IoT professionals have a bright future. It can be used in home appliances, industries, hospitals, fleet management, traffic control, smart cities and more. Read more...

Which workshop is better for CSE students either IoT or robotics?

IOT based solar panel enabled extension box

The compact sensors with IOT is going to make huge impact in patients life



Contact Us

Name

Email *

Message *

Popular Posts

BER vs SNR for M-ary QAM, M-ary PSK, QPSK, BPSK, ...(MATLAB Code + Simulator)

Bit Error Rate (BER) & SNR Guide Analyze communication system performance with our interactive simulators and MATLAB tools. 📘 Theory 🧮 Simulators 💻 MATLAB Code 📚 Resources BER Definition SNR Formula BER Calculator MATLAB Comparison 📂 Explore M-ary QAM, PSK, and QPSK Topics ▼ 🧮 Constellation Simulator: M-ary QAM 🧮 Constellation Simulator: M-ary PSK 🧮 BER calculation for ASK, FSK, and PSK 🧮 Approaches to BER vs SNR Calculation What is Bit Error Rate (BER)? The BER indicates how many corrupted bits are received compared to the total number of bits sent. It is the primary figur...

MIMO Channel Matrix | Rank and Condition Number

MIMO / Massive MIMO MIMO Channel Matrix | Rank and Condition...   The channel matrix in wireless communication is a matrix that describes the impact of the channel on the transmitted signal. The channel matrix can be used to model the effects of the atmospheric or underwater environment on the signal, such as the absorption, reflection or scattering of the signal by surrounding objects. When addressing multi-antenna communication, the term "channel matrix" is used. Let's assume that only one TX and one RX are in communication and there's no surrounding object. Here, in our case, we can apply the proper threshold condition to a received signal and get the original transmitted signal at the RX side. However, in real-world situations, we see signal path blockage, reflections, etc.,  (NLOS paths [↗]) more frequently. The obstruction is typically caused by building walls, etc. Multi-antenna communication was introduced to address this issue. It makes diversity app...

UGC NET Electronic Science Previous Year Question Papers with Solutions

Home / Engineering & Other Exams / UGC NET 2026 PYQ ⬇️ Download Papers and Solutions 📋 Exam Pattern 💡 Preparation Tips ❓ FAQs 📊 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) 📥 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 - Solved Paper + Explanation ...

How to Mount Google Drive in Google Colab

How to Mount Google Drive in Google Colab Google Colab provides temporary storage during a session. Any files stored in the /content directory will be deleted when the runtime disconnects. To store datasets, trained models, and results permanently, it is recommended to mount your Google Drive in Colab. Mounting Google Drive allows your notebook to access files directly from your Drive and save outputs there so they remain available even after the Colab session ends. Step 1: Import the Drive Module First import the Google Colab drive module. from google.colab import drive Step 2: Mount Google Drive Run the following command to mount your Google Drive. from google.colab import drive drive.mount('/content/drive') After running the command: A link will appear in the output. Click the link and log in to your Google account. Copy the authentication code provided. Paste the code back into the notebook. Or, a Google authentication page will a...

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. ...

Wiener Filter in MATLAB

  MATLAB Code  % Wiener Filter Based on Wiener-Hopf Equation % This script demonstrates how to apply the Wiener filter to recover % a reference signal from a noisy signal using the Wiener-Hopf equation. % The filter minimizes the mean squared error between the noisy signal and the reference signal. clear; close all; clc; % Signal Parameters fs = 4000; % Sampling frequency (Hz) T = 1; % Total recording time (seconds) L = T * fs; % Signal length (samples) tt = (0:L-1) / fs; % Time vector ff = (0:L-1) * fs / L; % Frequency vector % Generate Reference Signal (a sinusoid) y = sin(2 * pi * 120 * tt); % Reference sinusoidal signal y = y(:); % Ensure column vector % Create Noisy Signal by Adding Gaussian Noise x = 0.50 * randn(L, 1) + y; % Noisy signal x = x(:); % Ensure column vector % Define Filter Order (Number of Coefficients) N = 200; % Apply Wiener Filter using custom function [xest, b, MSE] = wienerFilt(x, y, N); % Plot Results figure; subplot(411); plot(tt, x, 'k'), hold on, p...

Overmodulation & Distortion in AM

Overmodulation in AM and How It Causes Distortion 1. AM Signal Equation s(t) = A c [1 + μ m(t)] cos(2Ï€ f c t) A c = carrier amplitude m(t) = normalized modulating signal (|m(t)| ≤ 1) μ = modulation index 2. Modulation Index μ = A m / A c - Normal AM: 0 < μ ≤ 1 → no distortion - Overmodulation: μ > 1 → distortion occurs 3. Envelope and Overmodulation A(t) = A c [1 + μ m(t)] - For undistorted AM: 1 + μ m(t) ≥ 0 at all times - If μ > 1: 1 + μ m(t) < 0 at negative peaks → carrier flips Example: Let m(t) = cos(2Ï€ f m t), A c = 1 V, μ = 1.2 Minimum envelope: A min = A c [1 - 1.2] = -0.2 V Negative amplitude → envelope crosses zero → 180° phase flip 4. Mathematical Consequence -A c cos(θ) = A c cos(θ + Ï€) This phase reversal is what causes distortion in the demodulated signal. 5. Instantaneous AM Signal s...

OFDM Symbols and Subcarriers Explained

This article explains how OFDM (Orthogonal Frequency Division Multiplexing) symbols and subcarriers work. It covers modulation, mapping symbols to subcarriers, subcarrier frequency spacing, IFFT synthesis, cyclic prefix, and transmission. Step 1: Modulation First, modulate the input bitstream. For example, with 16-QAM , each group of 4 bits maps to one QAM symbol. Suppose we generate a sequence of QAM symbols: s0, s1, s2, s3, s4, s5, …, s63 Step 2: Mapping Symbols to Subcarriers Assume N sub = 8 subcarriers. Each OFDM symbol in the frequency domain contains 8 QAM symbols (one per subcarrier): Mapping (example) OFDM symbol 1 → s0, s1, s2, s3, s4, s5, s6, s7 OFDM symbol 2 → s8, s9, s10, s11, s12, s13, s14, s15 … OFDM sym...