| EPSRC Reference: |
EP/M029441/1 |
| Title: |
Multisphere: Consistently Parallelizing High-Dimensional Sphere Decoders |
| Principal Investigator: |
Nikitopoulos, Dr K |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Communications Systems Res CCSR |
| Organisation: |
University of Surrey |
| Scheme: |
First Grant - Revised 2009 |
| Starts: |
01 October 2015 |
Ends: |
15 December 2016 |
Value (£): |
98,465
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| EPSRC Research Topic Classifications: |
| Digital Signal Processing |
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Summary on Grant Application Form |
During the last decades, the evolution of wireless and mobile communication systems has significantly contributed to the economic and social improvement of both developed and developing countries and it has transformed the daily lives of millions of people. Our increasing need to connect to anything (from people to services and physical things) at any time and to access/exchange increasing amounts of information despite the existing limitations in the available frequency spectrum and processing capabilities, as well as our need to experience "zero-latency" wireless access, has imposed the need to revisit the way communication systems are designed.
Targeting pragmatic future wireless systems able to deliver the capacity scaling predicted in theory, the proposed research focuses on two, currently in progress, paradigm shifts that have a strong potential to transform the way we design wireless communications systems: (a) The one from orthogonal to non-orthogonal signal transmissions according to which instead of trying to prevent transmitting signals from interfering, we now intentionally allow mutually interfering information streams, and (b) the one from sequential to parallel (receiver) processing according to which instead of using one processing element to perform the calculations of a functionality, we now split the corresponding processing load onto several processing units. While digital processing systems with tens or even hundreds of processing elements have been predicted, it is still not obvious how we can efficiently exploit this processing power to develop high-throughput and power efficient wireless communication systems, and specifically how we can cope with the exponentially computationally intensive case of optimally recovering a large number of (intentionally) interfering information streams.
This research targets a theoretical and practical framework for efficiently parallelizing sphere decoders used to optimally reconstruct a large number of mutually interfering information streams. Sphere decoding is a well-known technique that dramatically reduces the related complexity. However, while sphere decoding is simpler, compared to other solutions that are able to deliver optimal performance, its complexity still increases exponentially with the number of interfering streams, preventing the practical throughput gains from being scaled by increasing the number of mutually interfering streams as predicted in theory. This research targets practical sphere decoders able to support a large number of interfering streams with processing latency or power consumption requirements which are orders of magnitude smaller than those of single processor systems.
The research addresses the key EPSRC priority "Many-Core-Architecture and Concurrency in Distributed and Embedded Systems" and will contribute to the design and implementation of future wireless communication systems by enhancing our understanding of the theoretical and practical aspects related to the development of parallel processing architectures for wireless communication systems and by introducing a framework for related implementation decisions.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.surrey.ac.uk |