Non-orthogonal multiple access (NOMA) technology for modelling 5G mobile networks
Lead Research Organisation:
Heriot-Watt University
Department Name: Sch of Engineering and Physical Science
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
People |
ORCID iD |
| Mathini Sellathurai (Primary Supervisor) | |
| Ankit Gupta (Student) |
Publications
Ankit Gupta
(2020)
Contextual-Bandit based MIMO Relay Selection Policy with Channel Uncertainty
Balasubramanya N
(2018)
Combining Code-Domain and Power-Domain NOMA for Supporting Higher Number of Users
Gupta A
(2022)
Machine Learning-Based Urban Canyon Path Loss Prediction Using 28 GHz Manhattan Measurements
in IEEE Transactions on Antennas and Propagation
Gupta A
(2021)
End-to-End Learning-Based Framework for Amplify-and-Forward Relay Networks
in IEEE Access
Gupta A
(2019)
Time-Switching EH-Based Joint Relay Selection and Resource Allocation Algorithms for Multi-User Multi-Carrier AF Relay Networks
in IEEE Transactions on Green Communications and Networking
René-Jean Essiambre
(2020)
Increased Reach of Long-Haul Transmission using a Constant-Power 4D Format Designed Using Neural Networks
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| EP/N509474/1 | 30/09/2016 | 29/09/2021 | |||
| 1963633 | Studentship | EP/N509474/1 | 01/11/2017 | 29/04/2021 | Ankit Gupta |
| EP/R513040/1 | 30/09/2018 | 29/09/2023 | |||
| 1963633 | Studentship | EP/R513040/1 | 01/11/2017 | 29/04/2021 | Ankit Gupta |
| Description | Me and Prof. Mathini are working on artificial intelligence (AI) based solutions for the problems that still doesn't have an optimal solution for the wireless problem. In particular, we are designing AI based solution for serving multiple users with higher data rate from a single base station. We are also working on real-testbed and utilizing the data procured from the testbed to analyze the problem in the practical scenario. Now, we have developed an algorithm for which we are trying to make a patent of it, before publishing the same. |
| Exploitation Route | We are looking into designing new ways for our model, we started with NOMA, and have successfully applied it to relay networks and optical communication networks. Our work is highly generalizable and thus, we believe multiple research projects will be able to take this forward. |
| Sectors | Digital/Communication/Information Technologies (including Software) |
| Description | Internship |
| Organisation | Nokia |
| Department | Nokia Bell Labs |
| Country | United States |
| Sector | Private |
| PI Contribution | We developed state-of-the-art path loss prediction algorithm for the mm-wave in upcoming 6G networks. |
| Collaborator Contribution | The partners at Nokia Bell Labs provided the expertise and dataset for the path loss measurements in the Manhattan area in New York. Also, they provided guidance and expertise for solving an extremely challenging problem of path loss prediction. |
| Impact | A journal paper is published in the reputed IEEE Transactions on Antenna and Propagation. URL - https://ieeexplore.ieee.org/document/9722715 |
| Start Year | 2020 |