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A Dynamic reconfigurable RF System for MIMO 5 G applications
Arslan, Tughrul
(Principal Investigator)
Thompson, John
(Co-investigator)
School of Engineering
Overview
Fingerprint
Research output
(1)
Project Details
Status
Finished
Effective start/end date
1/09/18
→
28/02/22
Funding
UK industry, commerce and public corporations:
£24,060.00
View all
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Neural Network
Computer Science
100%
Deep Learning Method
Computer Science
100%
Orthogonal Frequency Division Multiplexing
Computer Science
40%
Memory Requirement
Computer Science
40%
Field Programmable Gate Arrays
Computer Science
40%
Processing Capability
Computer Science
20%
Physical Layer
Computer Science
20%
Time Processing
Computer Science
20%
Research output
Research output per year
2021
2021
2021
1
Article
Research output per year
Research output per year
A real-time deep learning OFDM receiver
Brennsteiner, S.
,
Arslan, T.
,
Thompson, J.
&
McCormick, A.
,
28 Dec 2021
,
In:
ACM Transactions on Reconfigurable Technology and Systems.
15
,
3
,
p. 1-25
26.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Neural Network
100%
Deep Learning Method
100%
Batch Processing
50%
Orthogonal Frequency Division Multiplexing
40%
Memory Requirement
40%