Signal models
Study how communication symbols, target reflections, clutter, channels, arrays, and noise enter one mathematical system.
Active learning track · Literature study and mathematical foundations
Integrated Sensing and Communication
I am building a structured understanding of ISAC through research papers, specialist texts, standards, and recorded technical lectures. My focus is to extend my foundation in analytical wireless modeling, BER evaluation, SIC, and Monte Carlo simulation toward systems that communicate and sense jointly.
Transferable foundationAnalytical wireless models, BER and throughput metrics, SIC, receiver processing, and Monte Carlo validation
Building nowRadar signal models, parameter estimation, sensing metrics, joint waveforms, array processing, and multiobjective design
Why this matters for 6G
Communication links that also understand their environment
ISAC treats sensing as a native network function rather than an isolated radar task. Its study connects waveform design, shared hardware, estimation accuracy, communication reliability, interference, and resource allocation.
Performance measures
Connect BER and achievable rate with detection probability, estimation error, Fisher information, and Cramér–Rao bounds.
Joint design
Examine waveform, precoder, beam, power, and time-frequency allocation under competing communication and sensing objectives.
Reproducible evaluation
Compare analytical predictions and numerical optimization with Monte Carlo experiments under realistic impairments.
Technical foundation
Mathematics and systems under study
Mathematical foundations
- Complex vector and matrix signal models, covariance matrices, eigendecomposition, SVD, and quadratic forms
- Random processes, likelihood models, noise, interference, clutter, and statistical hypothesis testing
- Neyman–Pearson detection, GLRT, ML and MAP estimation, Fisher information, and Cramér–Rao bounds
- Steering vectors, matched filtering, MIMO beamforming, and subspace methods
- Mutual information, achievable rate, sensing-information metrics, and Pareto boundaries
- Convex and non-convex optimization, QCQP, SDR, alternating methods, and numerical validation
Technical scope
- Dual-functional OFDM, OTFS, chirp, and resource-separated waveform strategies
- Joint precoding, beamforming, power control, and time-frequency allocation
- Target detection and range, Doppler, or angle estimation alongside communication decoding
- Clutter, mutual interference, synchronization error, and RF or hardware impairments
- Networked, distributed, and cell-free ISAC with sensing-assisted communication
- Mobility, UAV and V2X use cases, privacy, security, and evaluation methodology
Structured roadmap
From estimation theory to networked ISAC
Detection, estimation, and array processing
Consolidate statistical signal processing for target detection and range, velocity, and angle estimation.
Dual-functional signal and receiver design
Study OFDM, OTFS, and other joint or separated designs, including ambiguity, resolution, and decoding behavior.
Communication–sensing optimization
Formulate rate, BER, detection, and estimation objectives with power, bandwidth, hardware, and interference constraints.
Distributed, mobile, and multi-user ISAC
Extend link-level models toward cell-free, UAV, V2X, and sensing-assisted network operation.
Selected study resources
Open papers, specialist text, and public technical material
These sources guide the study roadmap; their inclusion is not a claim that every item has been completed.
The resource set combines open institutional repositories, public preprints, a specialist reference book, and openly accessible standards material.
Integrated Sensing and Communications: Towards Dual-functional Wireless Networks for 6G and Beyond
Fan Liu and coauthors. A system-level tutorial covering models, performance boundaries, waveform design, and network directions.
UCL DiscoveryIntegrated Sensing and Communications: Recent Advances and Ten Open Challenges
A research-oriented survey organized around recent technical progress and open problems.
arXivIntegrated Sensing and Communications
Edited by Fan Liu, Christos Masouros, and Yonina C. Eldar. A focused reference spanning theory, signal design, and applications.
SpringerThe Integrated Sensing and Communication Revolution for 6G
An open overview of sensing, communication, learning, channel information, and system-level evaluation for future wireless networks.
Read on arXivJoint Radar and Communication Design
A tutorial on spectrum sharing, dual-functional transceivers, waveform design, beamforming, channel estimation, and open design problems.
Read on arXivETSI Integrated Sensing and Communications
Open reports and updates covering 6G use cases, channel models, system and RAN architecture, security, privacy, and evaluation methodology.
Explore ETSI ISACBridge from completed work
Why ISAC is a credible next step
My existing work supplies analytical and simulation habits that can be extended to joint sensing and communication without presenting that extension as already complete.
NOMA and SIC Multi-user ordering, power allocation, and error propagation provide a conceptual bridge to joint communication–sensing design.
Detection and estimation foundation My M.Tech coursework provides the statistical framework needed for range, Doppler, angle, and target-detection models.
UAV simulation experience ROS 2 and MAVLink work offers a practical route toward reproducible mobile-ISAC scenarios, once the sensing and channel models are added.
Standards lens
Connecting research models to emerging specifications
ITU-R M.2160
The IMT-2030 framework includes integrated sensing and communication among its envisaged usage scenarios.
Read the ITU framework3GPP TR 22.837
A 3GPP study of integrated sensing and communication services, use cases, and requirements.
Open the 3GPP specification recordETSI ISAC
ETSI work on ISAC use cases, channel and sensing models, deployment, security, and architecture.
Visit the ETSI ISAC group