Research Seminar ‘Real-Complex Hybrid Modulates Multiuser MIMO for Future Wireless Communications’ – 16th June at 11 am in SLT1

The next Research Seminar in EDA entitled ‘Real-Complex Hybrid Modulated Multiuser MIMO for Future Wireless Communications’ will take place on Friday 16th June at 11 am in Stacey Lecture Theatre 1 and will be delivered by Dr Yi Ma from the University of Surrey.

Inter-cell interference is challenging the development of future wireless networks with specific to the ambition of capacity delivery. One of potential technologies to handle this challenge is MU-MIMO, which utilizes spatial degrees of freedom to cancel the inter-cell interference. However, practical implementation of MU-MIMO faces additional challenges of signal processing scalability. (Near-) optimal multi-antenna processing techniques are computationally too expensive, and low-complexity linear techniques are often too sub-optimal in performances. In the Seminar, Dr Ma will introduce a couple of physical layer approaches recently developed within the 5GIC (University of Surrey), which promise to deliver the scalability as per 5G need. More specifically, a hybrid modulation scheme, named AQAM, will be introduced to scale up conventional MU-MIMO communications for both the uplink and downlink. Moreover, he will also talk about a low-complexity nonlinear multi-antenna precoding technique, named DxVP, which is able to provide near-optimal downlink performances at the cost of comparable computational complexity with the linear MIMO precoding.

Dr Yi Ma received his PhD degree in advanced signal processing for wireless communications from the University of Liverpool, in 2005. He is currently a Reader in the University of Surrey, and leading the multi-cell MIMO processing group within the Institute for Communication Systems (the home of 5G Innovation Centre).

All members of staff are welcome to the seminar. RAs, postgraduate students, and interested undergraduate students are particularly encouraged to attend the event. The Seminar will be chaired by Professor Jiangzhou Wang.