Applications are invited for the post of Research Fellow or Research Assistant for an EPSRC-funded project (EP/E022308/1), available for 36 months. The project title is High-performance MIMO transceiver design for single and multiuser wireless communications. The post is funded for a fixed term of 36 months beginning 1st September 2007 or as soon as possible.
The salary scale for the Research Fellow is Grade 7 of the UCL salary scales, currently GBP 25,889 - 31,840 per annum, or for the Research Assistant Grade 6, currently 21,682 - 23,692. The supervisor is Dr Kai-Kit Wong, UCL Adastral Park Postgraduate Research Campus. E-mail: k.wongatadastral.ucl.ac.uk
About the Candidates
Applicants should have a minimum 2.1 BEng/MEng and hold, or be about to obtain, a PhD in Electronic Engineering, Mathematics or Telecommunications. The ideal candidate should also have a strong background in mathematics (preferably optimisation theory, linear algebra and statistical theory and analysis). Experience in nonlinear optimisation and convex programming would be advantageous.
Application
Applications should include a UCL application form, which can be obtained from: www.ucl.ac.uk/hr/docs/download_forms/job_app.doc, a full CV, including full publication details, and should state the names and contact details of two referees.
Applications should be sent to: Chris Churcher, UCL Adastral Park, Ross Building PP3, Adastral Park, Martlesham Heath, Ipswich, Suffolk IP5 3RE, UK. Applications may also be emailed to c.churcher@adastral.ucl.ac.uk
UCL Taking Action for Equality: Our equal opportunities policy includes the provision that in recruitment, the only consideration must be that the individual meets or is likely to meet the genuine requirements of the job. No one will be discriminated against on the basis of sex, age, race, colour, ethnic origin, disability, marital status, sexual orientation, caring or parental responsibilities, or belief in any matters including religion and politics.
Informal enquiries about the project can be made to Dr Kai-Kit Wong (k.wong@adastral.ucl.ac.uk).
Project Description
The vision of future generation of wireless systems will be the provision of broadband access, seamless global roaming, Internet/data/voice and highly interactive multimedia services such as multiparty videoconference and virtual telepresence anywhere anytime. Providing such ubiquitous high-capacity high-quality transmission will require several Mbps to be achieved over air. To rectify this, various advanced techniques have been proposed, among which multi-element transmitter and receiver antenna configurations known as multiple-input multiple-output (MIMO) antenna systems have recently emerged as a significant breakthrough for enhancing the capacity far beyond systems in use today.
The technical challenge, however, is that the optimum MIMO performance requires maximum-likelihood (ML) decoding, which is unfortunately non-deterministic polynomial-time hard (NP-hard). Neither a compact mobile device nor a powerful base station is feasible even if the number of multiplexed signals is moderate (e.g., 5). Worse of all, in real environments, the presence of co-channel interference (other signals that share with the same radio channel) as a result of frequency reuse for cellular systems, will further cause ML decoding even more difficult to implement. The objective of this project is to design low-complexity MIMO receivers for high-performance decoding and study the use of such receivers in multiuser environments in both up (from many mobile stations to a base station) and downlinks (from a base station to many mobile stations) with appropriate transmitter designs.
Suboptimal decoding leading to reduced complexity has long been investigated for MIMO detection. It is, however, not clear how they would work in a cellular network where the same frequency channel is more aggressively reused and the antenna array is largely overloaded. In this respect, we aim to develop a non-linear signal processing scheme for single, or multiuser, uplink or downlink channels. The developed detectors should be scalable for a system with a large number of users/antennas, and as a consequence, MIMO technologies such as BLAST and space-time coding (in 3G/4G+ systems) can be practically deployed to yield promising performance in interference-limited cellular environments.
The salary scale for the Research Fellow is Grade 7 of the UCL salary scales, currently GBP 25,889 - 31,840 per annum, or for the Research Assistant Grade 6, currently 21,682 - 23,692. The supervisor is Dr Kai-Kit Wong, UCL Adastral Park Postgraduate Research Campus. E-mail: k.wongatadastral.ucl.ac.uk
About the Candidates
Applicants should have a minimum 2.1 BEng/MEng and hold, or be about to obtain, a PhD in Electronic Engineering, Mathematics or Telecommunications. The ideal candidate should also have a strong background in mathematics (preferably optimisation theory, linear algebra and statistical theory and analysis). Experience in nonlinear optimisation and convex programming would be advantageous.
Application
Applications should include a UCL application form, which can be obtained from: www.ucl.ac.uk/hr/docs/download_forms/job_app.doc, a full CV, including full publication details, and should state the names and contact details of two referees.
Applications should be sent to: Chris Churcher, UCL Adastral Park, Ross Building PP3, Adastral Park, Martlesham Heath, Ipswich, Suffolk IP5 3RE, UK. Applications may also be emailed to c.churcher@adastral.ucl.ac.uk
UCL Taking Action for Equality: Our equal opportunities policy includes the provision that in recruitment, the only consideration must be that the individual meets or is likely to meet the genuine requirements of the job. No one will be discriminated against on the basis of sex, age, race, colour, ethnic origin, disability, marital status, sexual orientation, caring or parental responsibilities, or belief in any matters including religion and politics.
Informal enquiries about the project can be made to Dr Kai-Kit Wong (k.wong@adastral.ucl.ac.uk).
Project Description
The vision of future generation of wireless systems will be the provision of broadband access, seamless global roaming, Internet/data/voice and highly interactive multimedia services such as multiparty videoconference and virtual telepresence anywhere anytime. Providing such ubiquitous high-capacity high-quality transmission will require several Mbps to be achieved over air. To rectify this, various advanced techniques have been proposed, among which multi-element transmitter and receiver antenna configurations known as multiple-input multiple-output (MIMO) antenna systems have recently emerged as a significant breakthrough for enhancing the capacity far beyond systems in use today.
The technical challenge, however, is that the optimum MIMO performance requires maximum-likelihood (ML) decoding, which is unfortunately non-deterministic polynomial-time hard (NP-hard). Neither a compact mobile device nor a powerful base station is feasible even if the number of multiplexed signals is moderate (e.g., 5). Worse of all, in real environments, the presence of co-channel interference (other signals that share with the same radio channel) as a result of frequency reuse for cellular systems, will further cause ML decoding even more difficult to implement. The objective of this project is to design low-complexity MIMO receivers for high-performance decoding and study the use of such receivers in multiuser environments in both up (from many mobile stations to a base station) and downlinks (from a base station to many mobile stations) with appropriate transmitter designs.
Suboptimal decoding leading to reduced complexity has long been investigated for MIMO detection. It is, however, not clear how they would work in a cellular network where the same frequency channel is more aggressively reused and the antenna array is largely overloaded. In this respect, we aim to develop a non-linear signal processing scheme for single, or multiuser, uplink or downlink channels. The developed detectors should be scalable for a system with a large number of users/antennas, and as a consequence, MIMO technologies such as BLAST and space-time coding (in 3G/4G+ systems) can be practically deployed to yield promising performance in interference-limited cellular environments.
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