Special Interest Groups

SIG on Signal processing techniques in 5G communication systems

Chau Yuen, SUTD, Singapore
Woon Hau Chin, Toshiba Research Lab, UK
Yan Zhang, Simula Research Lab, Norway
Linglong Dai, Tsinghua University, China
Shiwen Mao, Auburn University, USA

Areas of Interest :
Signal processing techniques for massive MIMO/large scale MIMO systems
Signal processing techniques for C-RAN/DAS
Interference management through advanced signal processing methods;
Signal processing techniques for heterogeneous networks
Signal processing techniques for sensing and inference in 5G sensor networks (e.g., M2M/IoT);
Signal processing techniques for high higher frequency bands (e.g., mm-wave/60GHz);
Signal processing techniques for Energy efficient large scale systems
Signal processing techniques for Full duplex wireless communication;
Signal processing techniques for data storage and management in large-scale 5G networks;
Sparse signal processing for 5G
Application in 5G systems with advanced signal processing approaches.
Signal processing for 5G non-orthogonal multiple access
Signal processing for D2D communications
Signal processing for M2M communications
Signal processing for large-engineering cyber physical systems (e.g., smart grid, transport, healthcare)

Workshop “mmWave Massive MIMO Communication for 5G” @ IEEE VTC-Spring 2016
Workshop “Novel Waveform and MAC Design for 5G” @ IEEE WCNC 2016
Symposium “Next Generation Networking and Internet” @ ICC 2016
Symposium “Signal Processing in Mobile Multimedia Communication Systems” @ GlobalSIP 2015
Workshop on “Content-Centric Networking” in conjunction with MASS 2015
Track on “Cognitive, Cellular and Mobile Networks” @ IEEE ICCCN 2015
5 technical proposals submitted to IMT-2020 Promotion Group in China.

SIG on Signal processing techniques for Big Data in Wireless Networks

Chair: Jingxian Wu, University of Arkansas
Vice Chair: Huaiyu Dai, North Carolina State University

Provide a platform for researchers to exchange ideas and promote research activities that are related to signal processing for big data in wireless networks

Areas of Interest:

Low-dimensional and sparse signal representations
Signal processing based on graphic models
Resource management (energy, storage, bandwidth, complexity, etc.)
Multi-relational data
High-dimensional statistical learning
Scalable and decentralized optimizations
Randomized algorithms
Novel architecture for large scale data sensing, processing, and transmission
Fundamental limits: convergence, consistency, robustness, and performance guarantees

Workshop proposals
IEEE GlobalSIP 2016, Dec. 7 – 9, Washington DC
IEEE GLOBECOM 2016, Dec. 4 – 9, Washington DC
Journal Special Issue proposals
IEEE Access Special Issue on Signal Processing for Big Data
IEEE JSAC Special Issue on Big Data in Wireless Networks