Skip to main content

Best Wireless Communication Based Projects for Final Year Students



Our colleges either give us projects individually or require us to work in groups to complete them. You want to be able to apply theoretical concepts to real-world situations when working on a project. You will gain a greater understanding of a subject by applying your theoretical knowledge to a project, and you will face new challenges at work. And a researcher, engineer, or scientist's primary goal is to solve issues or difficulties in order to provide us with a better tomorrow. Excellence in a project, on the other side, can attract companies or investors. This will help you advance in your career.

We'll talk about various project/thesis ideas based on modern wireless communication. Both professors and students will benefit from it. Wireless communication is now being used in our everyday lives. Without a doubt, no other application in our lives is as dominant as electronics/wireless appliances.

Without further ado, we'll go through several project ideas that can be beneficial to B.E, B.Tech, or M.Tech students.


1. Comparison of ASK, FSK & PSK

(We know all modulation schemes are derived from these three primary modulation schemes i.e., ASK, FSK, & PSK) because in modulation we vary the amplitude, frequency or phase of carrier signal in accordance with amplitude of message signal. For example, QAM modulation scheme a combination of ASK & PSK)

Resources:

[1.1] ASK FSK PSK with simulation in MATLAB

[1.2] M-ary Modulation | QPSK & QAM | Constellation



2. M-ary Modulation (QPSK & QAM)

(M-ary modulation scheme is very important to increase the data rate of a system. Because here we send multiple bits as a symbol at a time unlike ASK, FSK & PSK. If we use 4 QPSK then we are able to send 4 bits at a time or data rate increases by four times rather than transferring one bit at a time)

[2.1] M-ary Modulation Techniques



3. Comparison of m-ary QPSK & QAM (especially when we increasing the number of bits in a symbol)

[3.1] BER vs SNR for QAM, QPSK ...

[3.2] MATLAB code for BER vs SNR for M-QAM & M-PSK



4. Terrestrial microwave communication

[4.1] Microwave Link Communication for Long-distance



5. Multi carrier modulation - OFDM
6. OFDM SC at uplink
7. UWB
8. Device ranging in UWB
9. UWB in WiFi 4 and above
10. Millimeter wave communication
11. 60 GHz Communication (57 - 64 GHz)
12. Short range high speed wireless communication
13. FHSS
15. Blutooth communication
16. Zigbee communication
17. Under-water wireless communication
18. SDM in MIMO
19. Spatial Multiplexing (SM) in MIMO
20. IPv6
21. Internet of things (IoTs)
22. Night Vision
23. Cybersecurity (using cryptography)
24. Technology: 4G vs. 5G
25. Fading in wireless communication channel
26. RFID
27. V2V communication
28. Smart city
29. IEEE 802.11
30. Software defined radio (SDR)
31. Laser based wireless communication




Also Read
[1] More Wireless Communication Based Projects for M.Tech


<<Previous Page
Next Page>>

# digital communication project using ask  #wireless communication based projects  #wireless communication projects for final year  #wireless communication projects using python  #wireless communication mini projects  #project on wireless communication
📊 MATLAB & ONLINE SIMULATIONS (Web-Based)
🎓 GATE & UGC - NET SOLUTIONS
📡 WIRELESS & SIGNAL PROCESSING


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...
Read more

Flat vs Frequency Selective Online Simulator

Flat vs Frequency Selective Online Simulator Channel Type Without Fading Flat Fading Multipaths Nakagami m SNR(dB) Run Simulation Input Signal Signal After Fading Constellation Diagram BER vs SNR Explore Advanced Flat vs Frequency-Selective Fading Simulator Want to see these equations in action? Visualize it. Launch Simulator Tool Interactive Rayleigh Fading Simulator Want to see Rayleigh fading in action? Visualize it. Launch Simulator Tool Return to DSP Simulations Main Page →
Read more

Q-function in BER vs SNR Calculation (with Simulation)

Q-function in BER vs. SNR Calculation In digital communications and signal processing, the Q-function plays a significant role in predicting system reliability. It allows engineers to quantify the probability that Gaussian noise will exceed a specific threshold, causing a bit error. What is the Q-function? The Q-function is a mathematical function representing the tail probability of the standard normal (Gaussian) distribution. It is the complementary cumulative distribution function (CCDF) of a standard Gaussian distribution. Q(x) = (1 / √(2Ī€)) ∫ₓ∞ e^(-t² / 2) dt The Role of the Q-function in BER vs. SNR The Q-function is the standard tool for calculating BER in systems like BPSK or QPSK over AWGN (Additive White Gaussian Noise) channels. For BPSK: In BPSK, we transmit +√E b (bit 1) and -√E b (bit 0). The decision boundary is set at 0 . If -√E b was sent, an error occurs if noise r > √...
Read more

Design of CMOS Flip-Flops (SR, D, JK)

Design of CMOS Flip-Flops (SR, D, JK) A flip-flop or latch is a circuit with two stable states, used to store state information. It is the basic storage element in sequential logic and a fundamental building block in digital electronics systems, including computers and communication devices. Flip-flops and latches act as data storage elements for states, pulse counting, and synchronization of variably-timed input signals to a reference clock. Flip-flops can be transparent/opaque (latches) or clocked (synchronous, edge-triggered). Latches are level-sensitive, while flip-flops are edge-sensitive. In sequential logic, the output depends on current inputs and previous states. Fig.1 shows a sequential circuit combining a combinational block and a memory element. ...
Read more

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...
Read more

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...
Read more

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...
Read more