Special Interest Groups

SIG on Signal processing techniques in 5G communication systems

Chairs:
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)

Activities:
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

Mission:
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

Activities:
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