Research portfolio / Projects

Projects

Interactive Simulators & Code

Open-source simulations, analytical models, and interactive tools for wireless communications and sensing.

Portrait of Harsh Raj

Currently a PhD Student at IIT Guwahati

Maintainer
Harsh Raj
Languages
MATLAB, Python, HTML5 Canvas / JS
Repositories
Main Projects
IRS-ISAC-NOMA System Outage, Space Shift Keying Performance, Web-based Real-time Fading Simulator

📁 GitHub Repositories

Academic code repositories containing simulation environments, analytical mathematical graphs, and comparative models.


📈 Rician Fading Simulator

Interactive analytical tool visualizing the statistics of Rician fading envelopes. Adjust sliders to modify parameters in real time.

Real Component Mean (\(m_1\)) 1.0
Imaginary Component Mean (\(m_2\)) 5.0
Standard Deviation (\(\sigma\)) 4.0

Derived Parameters

LOS Component Strength (\(s\)): 5.10
K-factor (linear): 0.81
K-factor (dB): -0.91 dB
Mean Envelope Amplitude: 5.82
Envelope Variance: 16.32
MATLAB Script

Theoretical Probabilities

Amplitude Probability Density Function (PDF)
\[f_A(x) = \frac{x}{\sigma^2} \exp\left(-\frac{x^2+s^2}{2\sigma^2}\right) I_0\left(\frac{x s}{\sigma^2}\right), \quad x \ge 0\]
Phase Probability Density Function (PDF)
\[f_{\Phi}(\phi) = \frac{1}{2\pi} e^{-\frac{s^2}{2\sigma^2}} + \frac{m_{\text{til}}}{\sqrt{2\pi}\sigma} e^{\frac{m_{\text{til}}^2 - s^2}{2\sigma^2}} Q\left(-\frac{m_{\text{til}}}{\sigma}\right)\]
where \(m_{\text{til}} = m_1\cos\phi + m_2\sin\phi\) and \(s = \sqrt{m_1^2 + m_2^2}\).

📝 Publication Linked Code

Reproducible files and folders linked to specific peer-reviewed papers.

Cascaded Channel Statistics — IRS-ISAC-NOMA

MATLAB code for reconfigurable array phase optimization, direct/cascaded fading computation, and NOMA outage curves.

IEEE NCC 2025 IRS ISAC

IRS-SSK & RPM Performance Analysis

Simulation scripts evaluating average bit error rate (ABER) for SSK systems using reconfigurable antennas.

IEEE VTC-Spring 2024 SSK Rician Channels

NOMA-ISAC DL/UL Performance

Simulations comparing NOMA vs OMA spectral efficiency and target sensing detection probabilities in uplink/downlink.

IEEE TCCN 2025 NOMA-ISAC Uplink/Downlink

🔗 Resources