Skip to main content

Why do we require modulation in wireless communication?



Modulation : Why do we require modulation in wireless communication?



Wireless communication relies heavily on modulation techniques. Coaxial cable, twisted pair, and other types of wired communication are commonly used. Wired communication, on the other hand, is best for short-distance communication. An antenna is required for wireless communication to transfer signals. Now, if we want to send a baseband signal, we'll need a very large antenna with a range of many kilometers. Baseband signals are ones that typically contain a low or medium frequency message signal. It's also known as a message signal without modulation. Modulation is a technique for increasing the frequency of a message signal by the carrier frequency to a significantly higher frequency.
So, now I'll explain why modulation is necessary. The main two goals of modulation techniques are to reduce antenna height and to multiplex data (Multiplexing).


 Long-Distance Communication

Low-frequency base-band signals are not suitable for long-distance communication because they cannot generate a strong far field. The far field is the region where electromagnetic waves become plane waves and true wireless transmission occurs.

At low frequencies, the signal primarily creates a strong near field, which stores energy close to the antenna instead of radiating it efficiently into space. As a result, most of the energy remains near the source and does not propagate over long distances.

 

Reducing the height of antenna:

For short-range baseband communication, wired communication is sufficient. However, for long-distance communication, wireless is the best option. We know that the transmitter antenna emits a specific radiation pattern. The signal then travels through the earth's atmosphere until it reaches the receiver. We should be aware that antenna height is important for reliable transmission. The wavelength of the working frequency determines the antenna height. The antenna height should be

Ht = λ/4 and λ = c/f

Where, Ht = height of antenna

λ = wavelength of operating frequency

c = speed of light

f = operating frequency

We can also derive the following equations from the above equation:

As Ht = λ/4,

Therefore, Ht =c/4f; or Ht α 1/f

So, we can say that antenna’s height is inversely proportional to the operating frequency. If frequency is more, height of antenna should be smaller and vice-versa for reliable communication.

Example:

Let assume, operating frequency of a communication band is 20 KHz. Then the height of antenna, Ht, should be

Ht = c/4f = (3*10^8) / (4*20*10^3) = 3.75 kilometers

We can observe that the antenna height for reliable 20 KHz band communication should be 3.75 kilometers. As a result, we choose modulation, in which the lower frequency is shifted to the higher frequency. It is a method of enhancing transmission frequency while lowering antenna height.

On the other hand, if you use 100 MHz carrier signal then you only need a 0.75 meter antenna, which is perfectly practical for wireless communication (like FM radios, smartphones, etc.).


Multiplexing:

Multiplexing is another significant advantage of modulation techniques. The parallel data streams are multiplexed into a serial data stream. Simply put, modulation techniques allow us to deliver many simultaneous data streams from the transmitter to the receiver across a single channel. To your knowledge, we use the modulation technology to enable multiplexing in wired connection as well.

Noise Immunity and Signal Strength

Modulation schemes can be designed to make signals more resistant to noise, distortion, and interference.
For example, digital modulation techniques like QAM, PSK, or FSK improve bit error rate performance under noisy conditions.

Bandwidth Utilization

Modulation allows better utilization of available bandwidth, especially with advanced techniques like OFDM. It enables the transmission of high data rates in limited spectral resources.

Adaptability

Adaptive modulation helps wireless systems dynamically change their modulation scheme depending on channel conditions (e.g., switching from QPSK to 64-QAM in 4G/5G).

 

Further Reading

  1. Analog Modulation Techniques
  2. Digital Modulation Techniques  
  3. Importance of Modem in Telecommunication




Contact Us

Name

Email *

Message *

Popular Posts

MATLAB Code for BER performance of QPSK with BPSK, 4-QAM, 16-QAM, 64-QAM, 256-QAM, etc

📘 Overview 🧮 MATLAB Codes 🧮 Online Simulator for Calculating BER of M-ary PSK and QAM 🧮 QPSK vs BPSK and QAM: A Comparison of Modulation Schemes in Wireless Communication 🧮 Are QPSK and 4-PSK same? 📚 Further Reading   QPSK offers double the data rate of BPSK while maintaining a similar bit error rate at low SNR when Gray coding is used. It shares spectral efficiency with 4-QAM and can outperform 4-QAM or 16-QAM in very noisy channels. QPSK is widely used in practical wireless systems, often alongside QAM in adaptive modulation schemes [Read more...] What is the Gray Code? Gray Code: Gray code is a binary numeral system where two successive values differ in only one bit. This property is called the single-bit difference or unit distance code. It is also known as reflected binary code. Let's convert binary 111 to Gray code: Binary bits: B = 1 1 1 Apply the rule: G[0] = B[0] = 1...

FFT Butterfly Method Explained (with Simulations)

4-Point FFT Using Butterfly Method Given: x[n] = {0, 1, 2, 3} Step 1: Split into Even & Odd Even indices: x e = {x[0], x[2]} = {0, 2} Odd indices: x o = {x[1], x[3]} = {1, 3} Step 2: 2-point DFT For any {a, b}: DFT = {a + b, a - b} Even Part (E): {0+2, 0-2} = {2, -2} Odd Part (O): {1+3, 1-3} = {4, -2} Step 3: Combine Using Butterfly X[k] = E[k] + W 4 k O[k] X[k + 2] = E[k] - W 4 k O[k] Twiddle Factors (N=4): W 4 0 = 1, W 4 1 = -j Final Calculations: X[0] = E[0] + W 4 0 O[0] = 2 + (1)(4) = 6 X[2] = E[0] - W 4 0 O[0] = 2 - (1)(4) = -2 X[1] = E[1] + W 4 1 O[1] = -2 + (-j)(-2) = -2 + 2j X[3] = E[1] - W 4 1 O[1] = -2 - (-j)(-2) = -2 - 2j Final Answer: X[k] = {6, -2 + 2j, -2, -2 - 2j} 8-Point FFT Using Butterfly Method Given: x[n] = {0,1,2,3,4,5,6,7} Step 1: Split into Bit-Reversed Order To perform DIT-FFT, split the 8 points into pairs of two: Group A: {x[0], x[4]} = {0, 4}...

MATLAB Code for QPSK Modulation and Demodulation

📘 Overview 🧮 MATLAB Codes 🧮 Theory 🧮 BER performance of QPSK with BPSK, 4-QAM, 16-QAM, 64-QAM, 256-QAM, etc 📚 Further Reading QPSK Passband Signal Generation Spectral Efficiency in QPSK   Quadrature Phase Shift Keying (QPSK) is a digital modulation scheme that conveys two bits per symbol by changing the phase of the carrier signal. Each pair of bits is mapped to one of four possible phase shifts: 0°, 90°, 180°, or 270° 00  ===> 0 degree phase shift of carrier signal 01  ===> 90 degree 11  ===> 180 degree 10  ===> 270 degree   MATLAB Script clc; clear all; close all; clc; M = 4; data = randi([0 (M-1)], 1000, 1); Phase = 0; modData=pskmod(data,M,Phase); figure(1); scatterplot(modData); channelAWGN = 15; rxData2 = awgn(modData, channelAWGN); figure(2); scatterplot(rxData2); demodData = pskdemod(rxData2,M,Phase);   Result data 1 0 2 2 0 2 1 . . . modData -1.0...

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 ...

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...

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 📶 FSK Simulator 🎚️ BPSK Simulator 📚 More Topics ASK Modulator FSK Modulator BPSK Modulator More Topics 1. ASK (Amplitude Shift Keying) Simulat...

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...

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 ...