Cross-Complementary Pairs (CCP) for Optimal Training in Spatial Modulation

2019-12-23   Hits:[]

Title: Cross-Complementary Pairs (CCP) for Optimal Training in Spatial Modulation

Time:9:00-10:00 am on December 25, 2019

Location:X7503

Abstract:Golay complementary pair (GCP) is a celebrated sequence pair whose aperiodic autocorrelations sum to zero for all the non-zero time-shifts. Despite numerous applications of GCPs in engineering, it is noted that the transmission of a GCP requires two separate and non-interfering channels. In this talk, I will introduce a new class of sequence pairs, called “cross-complementary pairs (CCPs)”, which may be transmitted in two non-orthogonal channels and hence proper CCP design should be conducted to minimize the cross-interference of the two constituent sequences. I will present the properties and systematic constructions of perfect CCPs, followed by their applications for optimal training sequence design in spatial modulation (SM) systems under frequency-selective channels.

Reporter Introduction:Zilong Liu is a Lecturer (Assistant Professor) at the School of Computer Science and Electronic Engineering, University of Essex. From January 2018 to November 2019, he was a Senior Research Fellow at the Institute for Communication Systems (ICS), Home of the 5G Innovation Centre (5GIC), University of Surrey. Prior to his career in UK, he spent 9.5 years in the School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore, first as a Research Associate (since July 2008) and then a Research Fellow (since November 2014). He received his PhD in June 2014 with a thesis entitled ``Perfect- and Quasi- Complementary Sequences" advised by Prof. Guan Yong Liang. He received his M.S. degree in the Department of Electronic Engineering from Tsinghua University and B.S. degree in the School of Electronics and Information Engineering from Huazhong University of Science and Technology (HUST), in 2007 and 2004, respectively. He is generally interested in coding and signal processing for various communication systems. Details of his research can be found at: https://sites.google.com/site/zilongliu2357.

 

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