Low-complexity processing for mm-Wave massive MIMO
Lead Research Organisation:
University of Edinburgh
Department Name: Sch of Engineering
Abstract
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People |
ORCID iD |
John Thompson (Principal Investigator) |
Publications
Alistarh C
(2022)
Sectorized FMCW MIMO Radar by Modular Design With Non-Uniform Sparse Arrays
in IEEE Journal of Microwaves
Vlachos E
(2019)
Wideband MIMO Channel Estimation for Hybrid Beamforming Millimeter Wave Systems via Random Spatial Sampling
in IEEE Journal of Selected Topics in Signal Processing
Hilario Re P
(2021)
FMCW Radar With Enhanced Resolution and Processing Time by Beam Switching
in IEEE Open Journal of Antennas and Propagation
Vlachos E
(2018)
Massive MIMO Channel Estimation for Millimeter Wave Systems via Matrix Completion
in IEEE Signal Processing Letters
Kaushik A
(2021)
Joint Bit Allocation and Hybrid Beamforming Optimization for Energy Efficient Millimeter Wave MIMO Systems
in IEEE Transactions on Green Communications and Networking
Kaushik A
(2019)
Dynamic RF Chain Selection for Energy Efficient and Low Complexity Hybrid Beamforming in Millimeter Wave MIMO Systems
in IEEE Transactions on Green Communications and Networking
Thompson J
(2022)
Editorial A Decade of Green Radio and the Path to "Net Zero": A United Kingdom Perspective
in IEEE Transactions on Green Communications and Networking
Chen L
(2018)
Capacity and Delay Tradeoff of Secondary Cellular Networks With Spectrum Aggregation
in IEEE Transactions on Wireless Communications
Ge X
(2018)
JOINT OPTIMIZATION OF COMPUTATION AND COMMUNICATION POWER IN MULTI-USER MASSIVE MIMO SYSTEMS.
in IEEE transactions on wireless communications
Vlachos E
(2021)
Energy-Efficiency Maximization of Hybrid Massive MIMO Precoding With Random-Resolution DACs via RF Selection
in IEEE Transactions on Wireless Communications
Description | This research has identified novel approaches to save energy in millimetre wave communications systems. Key points of study include: 1) Developing energy efficient methods for learning the wireless channel, so that it can be used by the transmitter and receiver to achieve maximum data throughput. 2) Novel approaches to operate the transmitter and receiver in order to maximise the energy per bit for communication. 3) New signal processing algorithms that provide robust reception for low complexity Rotman lens antennas developed by our project partner, Queens University of Belfast. |
Exploitation Route | Our research is being published in conferences and journals to disseminate the findings to the scientific community. We also met with our advisory board in October 2018 and their recommendations led directly to a substantial collaboration between Dr Evangelos Vlachos from Edinburgh and Dr Babar Abbasi from Queens University Belfast. This work has led to new research papers that explore the impact of real world antennas on our signal processing algorithms. We met again in June 2019 to discuss our research with the advisory board and this has led to further avenues of research that we are exploring. We have closely collaborated with Dr George Alexandropoulos who was working with Huawei in France and with Prof Chatzinotas' group at the University of Luxembourg. These links have led to substantial co-authored journal papers being published. |
Sectors | Digital/Communication/Information Technologies (including Software) Electronics |
Description | The project RA, Evangelos Vlachos collaborated closely with George Alexandropoulos, who was working with at the Paris Research Centre, Huawei Research Laboratories, France. George Alexandropoulos provided guidance on technical direction for Evangelos' research and also reviewed the papers that he wrote afterwards. George became the co-author of four papers written during the project, two conference and two journal papers. This collaboration will have influenced research and development work carried out at Huawei Research Laboratories in Paris, France. |
First Year Of Impact | 2018 |
Sector | Digital/Communication/Information Technologies (including Software) |
Impact Types | Economic |
Title | Energy-Efficiency Maximization of Hybrid Massive MIMO Precoding with Random-Resolution DACs via RF Selection Matlab Software |
Description | his zip file contains MATLAB scripts and key simulation results for the following paper: Energy-Efficiency Maximization of Hybrid Massive MIMO Precoding with Random-Resolution DACs via RF Selection, by Evangelos Vlachos and John Thompson, To Appear in IEEE Transactions on Wireless Communications. |
Type Of Material | Computer model/algorithm |
Year Produced | 2020 |
Provided To Others? | Yes |
Impact | Awaiting impact from the dataset. |
Title | Radio frequency-chain selection for energy and spectral efficiency maximization in hybrid beamforming under hardware imperfection |
Description | This dataset contains MATLAB functions to plot the main results for the following paper: Evangelos Vlachos, John Thompson, Aryan Kaushik and Christos Masouros,"Radio frequency-chain selection for energy and spectral efficiency maximization in hybrid beamforming under hardware imperfections", Accepted for Publication in Royal Society Proceedings Part A, November 2020. |
Type Of Material | Computer model/algorithm |
Year Produced | 2020 |
Provided To Others? | Yes |
Impact | Awaiting impact at the moment. |
Description | Collaboration with University of Luxembourg |
Organisation | University of Luxembourg |
Department | Interdisciplinary Centre for Security, Reliability and Trust (SnT) |
Country | Luxembourg |
Sector | Academic/University |
PI Contribution | The Post-doctoral researcher, Evangelos Vlachos and the PhD student, Aryan Kaushik, collaborated with Prof Symeon Chatzinotas and Dr Christos Tsinos of University of Luxembourg. They wrote two journal papers in collaboration with these colleagues. |
Collaborator Contribution | Dr Christos Tsinos of University of Luxembourg provided detailed advice on algorithms and techniques to be used in the research. Prof Symeon Chatzinotas helped to steer the research and provided feedback on the papers that were written. |
Impact | 1. A. Kaushik, E. Vlachos, C. Tsinos, J. Thompson and S. Chatzinotas, "Joint Bit Allocation and Hybrid Beamforming Optimization for Energy Efficient Millimeter Wave MIMO Systems," in IEEE Transactions on Green Communications and Networking, Online Publication, Sept 2020. 2. A. Kaushik, J. Thompson, E. Vlachos, C. Tsinos and S. Chatzinotas, "Dynamic RF Chain Selection for Energy Efficient and Low Complexity Hybrid Beamforming in Millimeter Wave MIMO Systems," in IEEE Transactions on Green Communications and Networking, vol. 3, no. 4, pp. 886-900, Dec. 2019, |
Start Year | 2017 |
Description | Huawei Collaboration |
Organisation | Huawei Technologies |
Department | Huawei Technologies France |
Country | France |
Sector | Private |
PI Contribution | The project RA, Evangelos Vlachos collaborated closely with George Alexandropoulos, who was working with at the Paris Research Centre, Huawei Research Laboratories, France. |
Collaborator Contribution | George Alexandropoulos provided guidance on technical direction for Evangelos' research and also reviewed the papers that he wrote afterwards. George became the co-author of four papers written during the project, two conference and two journal papers. |
Impact | 1. Massive MIMO Channel Estimation for Millimeter Wave Systems via Matrix Completion, Vlachos, E., Alexandropoulos, G. & Thompson, J., 17 Sep 2018, In: IEEE Signal Processing Letters. 25, 11, p. 1675-1679. 2. E. Vlachos, G. C. Alexandropoulos and J. Thompson, "Wideband MIMO Channel Estimation for Hybrid Beamforming Millimeter Wave Systems via Random Spatial Sampling," in IEEE Journal of Selected Topics in Signal Processing, vol. 13, no. 5, pp. 1136-1150, Sept. 2019 3. E. Vlachos, G. C. Alexandropoulos and J. Thompson, "Hybrid Beamforming with Random Analog Sampling for Wideband Channel Estimation in Millimeter Wave Massive MIMO Systems," 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Cannes, France, 2019, pp. 1-5. 4. G. C. Alexandropoulos, E. Vlachos and J. Thompson, "Wideband Channel Tracking for Millimeter Wave Massive Mimo Systems with Hybrid Beamforming Reception," ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020, pp. 8698-8702. |
Start Year | 2018 |
Description | Low-complexity processing Steering Group Workshop |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | A one project review meeting was held with our industrial advisory board. Prof Erik Larsson from Linkoping University, Sweden, Prof Nallanathan from Queen Mary University of London and Prof Kostas Berberidis from University of Patras Greece, attended the meeting. They heard presentations from the project researchers and also gave talks on their own research to the reseach institute at the University of Edinburgh. |
Year(s) Of Engagement Activity | 2019 |