Channel Decoder Architectures for Energy-Constrained Wireless Communication Systems: Holistic Approach

Lead Research Organisation: University of Southampton
Department Name: Electronics and Computer Science

Abstract

The Machine-To-Machine (M2M) applications of Wireless Sensor Networks (WSNs) and Wireless Body Area Networks (WBANs) are set to offer many new capabilities in the EPSRC themes of 'Healthcare technologies', 'Living with environmental change' and 'Global uncertainties', granting significant societal and economic benefits. These networks comprise a number of geographically-separated sensor nodes, which collect information from their environment and exchange it using wireless transmissions. However, these networks cannot as yet be employed in demanding applications, because current sensor nodes cannot remain powered for a sufficient length of time without employing batteries that are prohibitively large, heavy or expensive. In this work, we aim to achieve an order-of-magnitude extension to the battery charge-time of WSNs and WBANs by facilitating a significant reduction in the main cause of their energy consumption, namely the energy used to transmit information between the sensor nodes. A reduction in the sensor nodes' transmission energy is normally prevented, because this results in corrupted transmitted information owing to noise or interference. However, we will maintain reliable communication when using a low transmit energy by specifically designing channel code implementations that can be employed in the sensor nodes to correct these transmission errors. Although existing channel code implementations can achieve this objective, they themselves may have a high energy consumption, which can erode the transmission energy reduction they afford. Therefore, in this work we will aim for achieving a beneficial step change in the energy consumption of channel code implementations so that their advantages are maintained when employed in energy-constrained wireless communication systems, such as the M2M applications of WSNs and WBANs. We shall achieve this by facilitating a significant reduction in the supply voltage that is used to power the channel code implementations. A reduction in the supply voltage is normally prevented, because this reduces the speed of the implementation and causes the processed information to become corrupted, when its operations can no longer be performed within the allotted time. However, we will maintain reliable operation when using a low supply voltage, by specifically designing the proposed channel code implementations to use their inherent error correction ability to correct not only transmission errors, but also these timing errors. To the best of our knowledge, this novel approach has never been attempted before, despite its significant benefits. Furthermore, we will develop methodologies to allow the designers of WSNs and WBANs to estimate the energy consumption of the proposed channel code implementations, without having to fabricate them. This will allow other researchers to promptly optimise the design of the proposed channel code implementations to suit their energy-constrained wireless communication systems, such as WSNs and WBANs. Using this approach, we will demonstrate how the channel coding algorithm and implementation can be holistically designed, in order to find the most desirable trade-off between complexity and performance.

Planned Impact

This research will enable economic and societal benefits within a few years, since the benefits of the proposed work will be available to the commercial manufacturers of energy-constrained wireless communication systems, allowing them to develop systems with significantly improved energy-efficiency and battery lifetime. This lifetime extension represents enabling technology, since it allows the Machine-To-Machine (M2M) applications of Wireless Sensor Networks (WSNs) and Wireless Body Area Networks (WBANs) to be applied in new environmental monitoring, ambient assisted living and healthcare applications. More specifically, the employment of a WSN or WBAN for a particular application may have been prevented in the past because it would require energy harvesters or batteries that are unfeasibly bulky or expensive. For example, sensor nodes that are implanted into the human body for obtaining physiological data are required to be small and lightweight. These sensors cannot be readily recharged and are required to have long lifetimes in order to justify their employment. However, the widespread use of these sensors is currently prevented because WBANs having lifetimes beyond a couple of days require bulky batteries. The techniques developed by this proposal will extend the sensor lifetime by an order of magnitude, which would justify their employment and facilitate significant healthcare improvements. Besides EPSRC's 'Healthcare technologies' theme, similarly significant impacts can be expected in the 'Living with environmental change' and 'Global uncertainties' themes.

Throughout his PhD, the named Research Assistant (RA) Liang Li has gained significant expertise in both communication algorithms and hardware design, as shown in the attached CV. This combination is highly sought after in both UK industry and academia, since it facilitates holistic design, which can yield significant benefits like those described in this proposal. The experience that the named RA will gain from his involvement in this proposal will significantly further develop his expertise, which is highly desirable in both UK industry and academia. In addition to developing the expertise of the Principal Investigator (PI), undertaking this role for the first time will significantly develop his project leadership skills. The experience that the PI gains from managing this work will enable him to undertake even more ambitious projects in the future, having greater scope and impact. Furthermore, the liaison with academia and industry that are included in this proposal will provide valuable networking opportunities for the PI. In the future, this will provide him with further opportunities to collaborate and undertake work with broader scope and impact. Furthermore, the PhD student funded by the University of Southampton will follow in the named RA's footsteps, gaining valuable expertise in both communication algorithms and hardware design.

Publications

10 25 50
 
Description The Machine-To-Machine (M2M) applications of Wireless Sensor Networks (WSNs) and Wireless Body Area Networks (WBANs) are set to offer many new capabilities, granting significant societal and economic benefits. These networks comprise a number of geographically-separated sensor nodes, which collect information from their environment and exchange it using wireless transmissions. However, these networks were prevented from being employed in demanding applications, because sensor nodes could not remain powered for a sufficient length of time without employing batteries that are prohibitively large, heavy or expensive. In this work, we achieved significant extension to the battery life of WSNs and WBANs by facilitating a significant reduction in the main cause of their energy consumption, namely the energy used to transmit information between the sensor nodes. A reduction in the sensor nodes' transmission energy was previously prevented, because it resulted in corrupted transmitted information owing to noise or interference. However, we maintained reliable communication when using a low transmit energy by specifically designing channel code implementations that can be employed in the sensor nodes to correct these transmission errors. Although previous channel code implementations could achieve this objective, they themselves have a high energy consumption, which can erode the transmission energy reduction they afford. Motived by this, we achieved a beneficial step change in the energy consumption of channel code implementations so that their advantages are maintained when employed in energy-constrained wireless communication systems, such as the M2M applications of WSNs and WBANs. We achieved this by facilitating a significant reduction in the supply voltage that is used to power the channel code implementations. A reduction in the supply voltage was previously prevented, because this reduces the speed of the implementation and causes the processed information to become corrupted, when its operations can no longer be performed within the allotted time. However, we maintained reliable operation when using a low supply voltage, by specifically designing the proposed channel code implementations to use their inherent error correction ability to correct not only transmission errors, but also these timing errors. To the best of our knowledge, this novel approach had never been attempted before, despite its significant benefits. Furthermore, we developed methodologies to allow the designers of WSNs and WBANs to estimate the energy consumption of the proposed channel code implementations, without having to fabricate them. This is now allowing other researchers to promptly optimise the design of the proposed channel code implementations to suit their energy-constrained wireless communication systems, such as WSNs and WBANs. Using this approach, we demonstrated how the channel coding algorithm and implementation can be holistically designed, in order to find the most desirable trade-off between complexity and performance.
Exploitation Route This holistic cross-disciplinary research has developed new knowledge that spans the gap between energy-efficient communication theory and energy-efficient hardware design, opening up new areas of research in both of these fields. In particular, researchers with expertise in hardware design can benefit from the proposed architectures for energy-efficient and error-tolerant channel decoder implementations. More specifically, although we have validated the proposed architectures by implementing the most popular channel codes, the new design methodologies may be employed to consider other system components by the wider community. Furthermore, in the coming decades, the proposed error tolerant architectures will allow channel coding implementations to be fabricated using nanoelectronic devices, which are prone to manufacturing defects and ElectroMagnetic Compatibility (EMC)-induced processing errors, but potentially facilitate orders-of-magnitude lower energy consumptions. Additionally, researchers with expertise in energy-efficient communications theory can benefit from the proposed methodologies for accurately estimating the energy consumption of the proposed channel decoder implementations. These researchers will be able to offset the reduction in transmission energy that is afforded by a channel code, with the energy consumption of its decoder implementation, even if they have no particular expertise in hardware design. For the first time, our proposed methodologies have enabled the holistic design of channel coding algorithms, without requiring the time-consuming fabrication of the corresponding implementations. As a result, the pace and completeness of this research will be significantly improved going forwards. The research is now being commercialised by the spin-out AccelerComm and it has informed contributions to the 3GPP standardisation process for 5G telecommunications.
Sectors Digital/Communication/Information Technologies (including Software)

 
Description The research has led to the formation of the spin-out company AccelerComm and has informed the 3GPP standardisation process for 5G telecommunications.
First Year Of Impact 2016
Sector Digital/Communication/Information Technologies (including Software)
Impact Types Economic

 
Description 3GPP standardiation
Geographic Reach Multiple continents/international 
Policy Influence Type Participation in a advisory committee
Impact Contributed technical documents and way-forward proposals to the 3GPP standardisation process for 5G telecommunications
 
Description Department of Digital, Culture, Media and Sport consultation
Geographic Reach National 
Policy Influence Type Gave evidence to a government review
 
Description Aid for Startups
Amount £500,000 (GBP)
Funding ID 900037 
Organisation Innovate UK 
Sector Public
Country United Kingdom
Start 05/2016 
End 04/2018
 
Description Connected and Autonomous Vehicles
Amount £250,000 (GBP)
Organisation Innovate UK 
Sector Public
Country United Kingdom
Start 04/2018 
End 10/2019
 
Description Generalised LDPC architectures for high-throughput FPGA realisation (Altera)
Amount € 75,000 (EUR)
Organisation Altera 
Sector Private
Country United States
Start 09/2013 
End 09/2016
 
Description Generalised LDPC architectures for high-throughput FPGA realisation (UoS)
Amount £21,000 (GBP)
Organisation University of Southampton 
Sector Academic/University
Country United Kingdom
Start 09/2013 
End 09/2016
 
Description HARNet
Amount £247,333 (GBP)
Funding ID TS/L009390/1 
Organisation Innovate UK 
Sector Public
Country United Kingdom
Start 10/2013 
End 12/2015
 
Description Highly-parallel algorithms and architectures for high-throughput wireless receivers
Amount £489,433 (GBP)
Funding ID EP/L010550/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 04/2014 
End 03/2017
 
Description Innovation to Commercialisation of University Research
Amount £50,000 (GBP)
Organisation SETsquared Partnership 
Sector Charity/Non Profit
Country United Kingdom
Start 10/2015 
End 03/2016
 
Description Knowledge Transfer Partnership
Amount £190,000 (GBP)
Organisation Innovate UK 
Sector Public
Country United Kingdom
Start 07/2018 
End 12/2020
 
Description PhD funding
Amount £75,000 (GBP)
Organisation Qinetiq 
Sector Private
Country United Kingdom
Start 07/2016 
End 06/2023
 
Title 3GPP New Radio polar code reference model 
Description Models the operation of the 3GPP New Radio polar code, allowing other to confirm the compliance of their solutions with the standard. 
Type Of Material Computer model/algorithm 
Year Produced 2017 
Provided To Others? Yes  
Impact Used by other companies to confirm the compliance of their solutions with the standard. 
URL https://github.com/robmaunder/polar-3gpp-matlab
 
Title FPGA implementations of LDPC decoders 
Description Database of 40 data items of 139 different FPGA implementations of LDPC decoders. 
Type Of Material Database/Collection of data 
Year Produced 2015 
Provided To Others? Yes  
Impact This database has generated a significant amount of interest and downloads from researchers around the world. 
URL http://eprints.soton.ac.uk/384946/
 
Title Survey of ASIC and FPGA implementations of polar decoders 
Description Survey of ASIC and FPGA implementations of polar decoders 
Type Of Material Database/Collection of data 
Year Produced 2016 
Provided To Others? Yes  
Impact 3GPP standardisation process influenced 
URL http://eprints.soton.ac.uk/400401/
 
Title Survey of ASIC implementations of turbo and LDPC decoders 
Description Survey of ASIC implementations of turbo and LDPC decoders 
Type Of Material Database/Collection of data 
Year Produced 2016 
Provided To Others? Yes  
Impact Influenced 3GPP standardisation process 
URL http://eprints.soton.ac.uk/399846/
 
Description 3GPP meetings 
Organisation Ericsson
Country Sweden 
Sector Private 
PI Contribution I have been representing AccelerComm at 3GPP standardisation meetings, where the error correction code for 5G mobile systems is being selected. In these meetings, I have led the consortium of companies that support the turbo code, which includes Ericsson, LG Electronics, NEC, Sony and Orange. In particular, I have presented and defended this consortium's way-forward proposals during these debates, as well as several papers of my own.
Collaborator Contribution Co-signed way-forward proposals and contributed papers.
Impact Contributed to 3GPP standard for 5G telecommunications.
Start Year 2016
 
Description 3GPP meetings 
Organisation LG Electronics
Country Korea, Republic of 
Sector Private 
PI Contribution I have been representing AccelerComm at 3GPP standardisation meetings, where the error correction code for 5G mobile systems is being selected. In these meetings, I have led the consortium of companies that support the turbo code, which includes Ericsson, LG Electronics, NEC, Sony and Orange. In particular, I have presented and defended this consortium's way-forward proposals during these debates, as well as several papers of my own.
Collaborator Contribution Co-signed way-forward proposals and contributed papers.
Impact Contributed to 3GPP standard for 5G telecommunications.
Start Year 2016
 
Description 3GPP meetings 
Organisation NEC Corporation
Department NEC (UK) Ltd
Country United Kingdom 
Sector Private 
PI Contribution I have been representing AccelerComm at 3GPP standardisation meetings, where the error correction code for 5G mobile systems is being selected. In these meetings, I have led the consortium of companies that support the turbo code, which includes Ericsson, LG Electronics, NEC, Sony and Orange. In particular, I have presented and defended this consortium's way-forward proposals during these debates, as well as several papers of my own.
Collaborator Contribution Co-signed way-forward proposals and contributed papers.
Impact Contributed to 3GPP standard for 5G telecommunications.
Start Year 2016
 
Description 3GPP meetings 
Organisation Orange France Telecom
Country France 
Sector Private 
PI Contribution I have been representing AccelerComm at 3GPP standardisation meetings, where the error correction code for 5G mobile systems is being selected. In these meetings, I have led the consortium of companies that support the turbo code, which includes Ericsson, LG Electronics, NEC, Sony and Orange. In particular, I have presented and defended this consortium's way-forward proposals during these debates, as well as several papers of my own.
Collaborator Contribution Co-signed way-forward proposals and contributed papers.
Impact Contributed to 3GPP standard for 5G telecommunications.
Start Year 2016
 
Description 3GPP meetings 
Organisation SONY
Country Japan 
Sector Private 
PI Contribution I have been representing AccelerComm at 3GPP standardisation meetings, where the error correction code for 5G mobile systems is being selected. In these meetings, I have led the consortium of companies that support the turbo code, which includes Ericsson, LG Electronics, NEC, Sony and Orange. In particular, I have presented and defended this consortium's way-forward proposals during these debates, as well as several papers of my own.
Collaborator Contribution Co-signed way-forward proposals and contributed papers.
Impact Contributed to 3GPP standard for 5G telecommunications.
Start Year 2016
 
Description 3GPP meetings 
Organisation Telecom Bretagne
Country France 
Sector Academic/University 
PI Contribution I have been representing AccelerComm at 3GPP standardisation meetings, where the error correction code for 5G mobile systems is being selected. In these meetings, I have led the consortium of companies that support the turbo code, which includes Ericsson, LG Electronics, NEC, Sony and Orange. In particular, I have presented and defended this consortium's way-forward proposals during these debates, as well as several papers of my own.
Collaborator Contribution Co-signed way-forward proposals and contributed papers.
Impact Contributed to 3GPP standard for 5G telecommunications.
Start Year 2016
 
Description ARM 
Organisation ARM Holdings
Country United Kingdom 
Sector Private 
PI Contribution We have setup a continuing dialogue with ARM about our work on the practical implementation of architectures for wireless communication processing, for the purpose of knowledge transfer.
Collaborator Contribution ARM are an industrial partner of our further funding project 'Highly-parallel algorithms and architectures for high-throughput wireless receivers'. ARM provide feedback on our research findings and help to shape our future research directions. ARM are also supporting a PhD student, who is contributing to this project.
Impact A PhD and publications are emerging from this project.
Start Year 2012
 
Description AccelerComm 
Organisation AccelerComm
Country United Kingdom 
Sector Private 
PI Contribution AccelerComm is collaborating with the University of Southampton under directly funded research collaboration agreements, Innovate UK projects and Knowledge Transfer Partnerships. The University is contributing algorithmic expertise on signal processing for 5G mobile communications.
Collaborator Contribution AccelerComm is contributing hardware implementation expertise on signal processing for 5G mobile communications.
Impact Product development. 5G standardisation contributions.
Start Year 2017
 
Description Altera 
Organisation Altera
Department Altera Europe
Country United Kingdom 
Sector Private 
PI Contribution We have setup a continuing dialogue with Altera about our work on the practical implementation of architectures for wireless communication processing, for the purposes of knowledge transfer. We are developing soft-IP on LDPC decoders for Altera.
Collaborator Contribution Altera are an industrial partner of our further funding project 'Highly-parallel algorithms and architectures for high-throughput wireless receivers'. Altera have partly funded a studentship, which will be used to develop the above-mentioned soft-IP. Altera provide feedback on our research findings and help to shape our future research directions. Altera are an industrial partner of our EPSRC fellowship application 'Holistic design of signal processing algorithms, waveforms and hardware implementations for ultra-low- latency wireless communication'
Impact A PhD, publications and soft-IP are emerging from this collaboration.
Start Year 2013
 
Description Cascoda 
Organisation Cascoda
Country United Kingdom 
Sector Private 
PI Contribution We have setup a continuing dialogue with Cascoda about our work on the practical implementation of architectures for wireless communication processing, for the purpose of knowledge transfer.
Collaborator Contribution Cascoda are an industrial partner of our EPSRC fellowship application 'Holistic design of signal processing algorithms, waveforms and hardware implementations for ultra-low- latency wireless communication'. Cascoda provide feedback on our research findings and help to shape our future research directions.
Impact Knowledge transfer has resulted from this collaboration.
Start Year 2015
 
Description Cobham 
Organisation Cobham
Country United Kingdom 
Sector Private 
PI Contribution We have setup a continuing dialogue with Cobham about our work on the practical implementation of architectures for wireless communication processing, for the purpose of knowledge transfer. We are developing algorithms which Cobham will use in their products.
Collaborator Contribution Cobham are an industrial partner of our further funding project 'HARNet'. Cobham provide feedback on our research findings and help to shape our future research directions.
Impact Publications and algorithms for Cobham's products are emerging from this collaboration.
Start Year 2014
 
Description DSTL 
Organisation Defence Science & Technology Laboratory (DSTL)
Country United Kingdom 
Sector Public 
PI Contribution DSTL are sponsoring a part-time PhD student.
Collaborator Contribution DSTL are providing co-supervision and are informing the direction of the research.
Impact PhD training has resulted from this collaboration.
Start Year 2017
 
Description Harnessing Quantum-Computing & Signal Processing in Wireless Communications 
Organisation Indian Institute of Technology Madras
Country India 
Sector Academic/University 
PI Contribution We published several joint 4* papers, which contribute to the REF;
Collaborator Contribution Deriving closed-form equations for characterizing device-to-device communications and IoT
Impact mathematics, information theory, signal processing, computer science, telecommunications engineering
Start Year 2017
 
Description McKay Brothers Microwave 
Organisation McKay Brothers Microwave
Country United States 
Sector Private 
PI Contribution We have setup a continuing dialogue with McKay Brothers Microwave about our work on the practical implementation of architectures for wireless communication processing, for the purpose of knowledge transfer.
Collaborator Contribution McKay Brothers Microwave are an industrial partner of our EPSRC fellowship application 'Holistic design of signal processing algorithms, waveforms and hardware implementations for ultra-low- latency wireless communication'. McKay Brothers Microwave provide feedback on our research findings and help to shape our future research directions.
Impact Knowledge transfer has resulted from this collaboration.
Start Year 2015
 
Description National Instruments 
Organisation National Instruments Corp (UK) Ltd
Country United Kingdom 
Sector Private 
PI Contribution We have setup a continuing dialogue with National Instruments about our work on the practical implementation of architectures for wireless communication processing, for the purpose of knowledge transfer.
Collaborator Contribution National Instruments have provided support for their software and hardware, which we use in our research. National Instruments provide feedback on our research findings and help to shape our future research directions. National Instruments are an industrial partner of our EPSRC fellowship application 'Holistic design of signal processing algorithms, waveforms and hardware implementations for ultra-low- latency wireless communication'
Impact Knowledge transfer has resulted from this collaboration.
Start Year 2012
 
Description Technische Universität Dresden 
Organisation Technical University of Dresden
Country Germany 
Sector Academic/University 
PI Contribution We have setup a continuing dialogue with TU Dresden about our work on the practical implementation of architectures for wireless communication processing, for the purpose of knowledge transfer.
Collaborator Contribution TU Dresden are an acadmic partner of our EPSRC fellowship application 'Holistic design of signal processing algorithms, waveforms and hardware implementations for ultra-low- latency wireless communication'. TD Dresden provide feedback on our research findings and help to shape our future research directions.
Impact Knowledge transfer has resulted from this collaboration.
Start Year 2015
 
Description University of Bristol 
Organisation University of Bristol
Department Department of Electrical and Electronic Engineering
Country United Kingdom 
Sector Academic/University 
PI Contribution We have setup a continuing dialogue with the University of Bristol about our work on the practical implementation of architectures for wireless communication processing, for the purpose of knowledge transfer.
Collaborator Contribution The University of Bristol is an academic partner of our EPSRC fellowship application 'Holistic design of signal processing algorithms, waveforms and hardware implementations for ultra-low- latency wireless communication'. The University of Bristol provide feedback on our research findings and help to shape our future research directions.
Impact Knowledge transfer has resulted from this collaboration.
Start Year 2015
 
Title Detection Circuit, Receiver, Communications Device and Method of Detecting 
Description This patent covers the fully-parallel turbo decoding algorithm and architecture. 
IP Reference GB2529209 
Protection Patent application published
Year Protection Granted 2016
Licensed Yes
Impact Assigned to AccelerComm
 
Title FULLY PARALLEL TURBO DECODING 
Description A detection circuit performs a turbo detection process to recover a frame of data symbols from a received signal, the data symbols of the frame having been effected, during transmission, by a Markov process with the effect that the data symbols of the frame in the received signal are dependent one or more preceding data symbols which can be represented as a trellis having a plurality of trellis stages. The detection circuit comprises a plurality of processing elements, each of the processing elements is associated with one of the trellis stages representing the dependency of the data symbols of the frame according to the Markov process and each of the processing elements is configured to receive one or more soft decision values corresponding to one or more data symbols associated with the trellis stage, and each of one or more of the processing elements is configured, in one clock cycle to receive fixed point data representing a priori forward state metrics a priori backward state metrics, and fixed point data representing a priori soft decision values for the one or more data symbols being detected for the trellis stage. For each of a plurality of clock cycles of the turbo detection process, the detection circuit is configured to process, for each of the processing elements representing the trellis stages, the a priori information for the one or more data symbols being detected for the trellis stage associated with the processing element, and to provide the extrinsic soft decision values corresponding to the one or more data symbols for a next clock cycle of the turbo detection process. 
IP Reference WO2016023762 
Protection Patent application published
Year Protection Granted 2016
Licensed Yes
Impact Assigned to AccelerComm
 
Title Arbitrarily Parallel Turbo Decoder 
Description Soft IP for Arbitrarily Parallel Turbo Decoder 
Type Of Technology New/Improved Technique/Technology 
Year Produced 2017 
Impact Licensing discussions with several potential customers underway 
 
Company Name AccelerComm 
Description Soft-IP semiconductor company for hardware acceleration of wireless communication signal processing 
Year Established 2016 
Impact Raised external investment, created jobs, in licensing discussions with several potential customers
Website http://www.accelercomm.com
 
Description 3GPP standardisation 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Industry/Business
Results and Impact Contributed technical documents and way-forward proposals to the 3GPP standardisation process for 5G telecommunications
Year(s) Of Engagement Activity 2016,2017
 
Description Academic presentation (University of York) 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Postgraduate students
Results and Impact This talk sparked questions and discussions afterwards.

A closer relationship has been built with the University of York.
Year(s) Of Engagement Activity 2014
 
Description GC-WOC keynote 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact Keynote address at Global Conference on Wireless and Optical Communications
Year(s) Of Engagement Activity 2016
 
Description NIWeek Keynote 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact Academic keynode address at NIWeek 2016
Year(s) Of Engagement Activity 2016
URL https://youtu.be/8qqCWPj-di8
 
Description SETsquared Innovation to Commercialisation of University Research 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Industry/Business
Results and Impact Engaged with over 100 individuals from companies all over the world, including EE, TMobile, China Mobile, AT&T, Rohde & Schwarz, Nokia Networks, Alcatel-Lucent, Ericsson, Samsung, Thales, Huawei, Altera, Qualcomm, National Instruments, nVidia, ARM, Imagination Technologies, Analog Devices, BAe Systems and Cobham. The aim of these engagements was to create awareness for our research outputs, to understand the problems faced by industry, to see how well our research addresses these problems and to inform our future research.
Year(s) Of Engagement Activity 2015
 
Description TU Dortmund Summer School 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact Summer school talk on joint design of algorithms and architectures for signal processing in wireless communications.
Year(s) Of Engagement Activity 2017