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

People are good at skipping over material they already know!

View Related Topics to







Contact Us

Name

Email *

Message *

Popular Posts

Online Simulator for ASK, FSK, and PSK

Try our new Digital Signal Processing Simulator!   Start Simulator for binary ASK Modulation Message Bits (e.g. 1,0,1,0) Carrier Frequency (Hz) Sampling Frequency (Hz) Run Simulation Simulator for binary FSK Modulation Input Bits (e.g. 1,0,1,0) Freq for '1' (Hz) Freq for '0' (Hz) Sampling Rate (Hz) Visualize FSK Signal Simulator for BPSK Modulation ...

BER vs SNR for M-ary QAM, M-ary PSK, QPSK, BPSK, ...

📘 Overview of BER and SNR 🧮 Online Simulator for BER calculation of m-ary QAM and m-ary PSK 🧮 MATLAB Code for BER calculation of M-ary QAM, M-ary PSK, QPSK, BPSK, ... 📚 Further Reading 📂 View Other Topics on M-ary QAM, M-ary PSK, QPSK ... 🧮 Online Simulator for Constellation Diagram of m-ary QAM 🧮 Online Simulator for Constellation Diagram of m-ary PSK 🧮 MATLAB Code for BER calculation of ASK, FSK, and PSK 🧮 MATLAB Code for BER calculation of Alamouti Scheme 🧮 Different approaches to calculate BER vs SNR What is Bit Error Rate (BER)? The abbreviation BER stands for Bit Error Rate, which indicates how many corrupted bits are received (after the demodulation process) compared to the total number of bits sent in a communication process. BER = (number of bits received in error) / (total number of tran...

Q-function in BER vs SNR Calculation

Q-function in BER vs. SNR Calculation In the context of Bit Error Rate (BER) and Signal-to-Noise Ratio (SNR) calculations, the Q-function plays a significant role, especially in digital communications and signal processing . What is the Q-function? The Q-function is a mathematical function that represents the tail probability of the standard normal distribution. Specifically, it is defined as: Q(x) = (1 / sqrt(2Ï€)) ∫â‚“∞ e^(-t² / 2) dt In simpler terms, the Q-function gives the probability that a standard normal random variable exceeds a value x . This is closely related to the complementary cumulative distribution function of the normal distribution. The Role of the Q-function in BER vs. SNR The Q-function is widely used in the calculation of the Bit Error Rate (BER) in communication systems, particularly in systems like Binary Phase Shift Ke...

Channel Impulse Response (CIR)

📘 Overview & Theory 📘 How CIR Affects the Signal 🧮 Online Channel Impulse Response Simulator 🧮 MATLAB Codes 📚 Further Reading What is the Channel Impulse Response (CIR)? The Channel Impulse Response (CIR) is a concept primarily used in the field of telecommunications and signal processing. It provides information about how a communication channel responds to an impulse signal. It describes the behavior of a communication channel in response to an impulse signal. In signal processing, an impulse signal has zero amplitude at all other times and amplitude ∞ at time 0 for the signal. Using a Dirac Delta function, we can approximate this. Fig: Dirac Delta Function The result of this calculation is that all frequencies are responded to equally by δ(t) . This is crucial since we never know which frequenci...

Wireless Communication Interview Questions | Page 2

Wireless Communication Interview Questions Page 1 | Page 2| Page 3| Page 4| Page 5   Digital Communication (Modulation Techniques, etc.) Importance of digital communication in competitive exams and core industries Q. What is coherence bandwidth? A. See the answer Q. What is flat fading and slow fading? A. See the answer . Q. What is a constellation diagram? Q. One application of QAM A. 802.11 (Wi-Fi) Q. Can you draw a constellation diagram of 4QPSK, BPSK, 16 QAM, etc. A.  Click here Q. Which modulation technique will you choose when the channel is extremely noisy, BPSK or 16 QAM? A. BPSK. PSK is less sensitive to noise as compared to Amplitude Modulation. We know QAM is a combination of Amplitude Modulation and PSK. Go through the chapter on  "Modulation Techniques" . Q.  Real-life application of QPSK modulation and demodulation Q. What is  OFDM?  Why do we use it? Q. What is the Cyclic prefix in OFDM?   Q. In a c...

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

📘 Overview 📚 QPSK vs BPSK and QAM: A Comparison of Modulation Schemes in Wireless Communication 📚 Real-World Example 🧮 MATLAB Code 📚 Further Reading   QPSK provides twice the data rate compared to BPSK. However, the bit error rate (BER) is approximately the same as BPSK at low SNR values when gray coding is used. On the other hand, QPSK exhibits similar spectral efficiency to 4-QAM and 16-QAM under low SNR conditions. In very noisy channels, QPSK can sometimes achieve better spectral efficiency than 4-QAM or 16-QAM. In practical wireless communication scenarios, QPSK is commonly used along with QAM techniques, especially where adaptive modulation is applied. Modulation Bits/Symbol Points in Constellation Usage Notes BPSK 1 2 Very robust, used in weak signals QPSK 2 4 Balanced speed & reliability 4-QAM ...

Difference between AWGN and Rayleigh Fading

📘 Introduction, AWGN, and Rayleigh Fading 🧮 Simulator for the effect of AWGN and Rayleigh Fading on a BPSK Signal 🧮 MATLAB Codes 📚 Further Reading Wireless Signal Processing Gaussian and Rayleigh Distribution Difference between AWGN and Rayleigh Fading 1. Introduction Rayleigh fading coefficients and AWGN, or Additive White Gaussian Noise (AWGN) in Wireless Channels , are two distinct factors that affect a wireless communication channel. In mathematics, we can express it in that way. Fig: Rayleigh Fading due to multi-paths Let's explore wireless communication under two common noise scenarios: AWGN (Additive White Gaussian Noise) and Rayleigh fading. y = h*x + n ... (i) Symbol '*' represents convolution. The transmitted signal x is multiplied by the channel coeffic...

Antenna Gain-Combining Methods - EGC, MRC, SC, and RMSGC

📘 Overview 🧮 Equal gain combining (EGC) 🧮 Maximum ratio combining (MRC) 🧮 Selective combining (SC) 🧮 Root mean square gain combining (RMSGC) 🧮 Zero-Forcing (ZF) Combining 🧮 MATLAB Code 📚 Further Reading  There are different antenna gain-combining methods. They are as follows. 1. Equal gain combining (EGC) 2. Maximum ratio combining (MRC) 3. Selective combining (SC) 4. Root mean square gain combining (RMSGC) 5. Zero-Forcing (ZF) Combining  1. Equal gain combining method Equal Gain Combining (EGC) is a diversity combining technique in which the receiver aligns the phase of the received signals from multiple antennas (or channels) but gives them equal amplitude weight before summing. This means each received signal is phase-corrected to be coherent with others, but no scaling is applied based on signal strength or channel quality (unlike MRC). Mathematically, for received signa...