IEEE GLOBECOM Workshop on 5G Ultra Dense Networks

In Conjunction with IEEE GLOBECOM'17 , December 8, 2017, Singapore

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Description of workshop

Driven by the development of mobile Internet and smart phones, data traffic grows exponentially in the current mobile communication systems. Initial estimations indicate that, different from the evolutionary path of previous cellular generations that was based on spectral efficiency improvements, the most substantial amount of future system performance gains will be obtained by means of network infrastructure densificationcation. The opportunities and challenges of fifth-generation (5G) rapidly gain great attention from academics, industries, and governments. Ultra dense network (UDN) is a promising technique to meet the requirements of explosive data traffic in 5G mobile communications. Moreover, when overlaid on top of the macrocells, low power small cells (such as femtocell and picocell) can improve the coverage and capacity of cellular networks by exploiting spatial reuse of the spectrum. Dense small cells can also offload the wireless data traffic of user equipments (UEs) from macrocells, especially for an indoor environment where more than 80% of the data traffic occurs. This workshop is supported by the IEEE Signal Processing and Communications Electronics Technical Committee and IEEE Technical Committee on Cognitive Networks.

Call for Papers

Mobile data traffic grows exponentially in the current mobile communication systems driven by the development of mobile Internet and smart phones. Initial estimations indicate that, different from the evolutionary path of previous cellular generations that was based on spectral efficiency improvements; the most substantial amount of future system performance gains will be obtained by means of network infrastructure densification. The opportunities and challenges of fifth-generation (5G) rapidly gain great attention from academics, industries, and governments. Ultra dense network (UDN) is a promising technique to meet the requirements of explosive data traffic in 5G mobile communications. Moreover, when overlaid on top of the macrocells, low power small cells (such as femtocell and picocell) can improve the coverage and capacity of cellular networks by exploiting spatial reuse of the spectrum. Dense small cells can also offload the wireless data traffic of user equipments (UEs) from macrocells, especially for an indoor environment where more than 80% of the data traffic occurs. and temporal reuse, thus reducing the power consumption. Despite the ever growing interests, the research on the use of cognitive and cooperative approaches to achieve sustainable and green networking and computing is still in its infancy, especially given the complexity and application constraints of the emerging communication and computing infrastructures. Some fundamental problems are still open.

This workshop will bring together academic and industrial researchers to identify and discuss technical challenges and recent results related to the future mobile networks using 5G Ultra Dense Networks.Topics of interest include but are not limited to the following:

  • Non-orthogonal multiple access techniques in 5G Ultra Dense Networks

  • Cognitive radio in 5G Ultra Dense Networks

  • Channel modeling in 5G Ultra Dense Networks

  • D2D in 5G Ultra Dense Networks

  • Performance analysis in 5G Ultra Dense Networks

  • Cloud/CRAN-based 5G Ultra Dense Networks

  • Small Cells in 5G Ultra Dense Networks

  • Game theory in 5G Ultra Dense Networks

  • Software defined networks in 5G Ultra Dense Networks

  • Heterogeneous Networks in 5G Ultra Dense Networks

  • Self organizing Networks in 5G Ultra Dense Networks

  • Network Function Virtualization in 5G Ultra Dense Networks

  • Backhaul/fronthaul in 5G Ultra Dense Networks

  • Resource allocation in 5G Ultra Dense Networks

  • Big data in 5G Ultra Dense Networks

  • Vehicular networks in 5G Ultra Dense Networks

  • Massive MIMO in 5G Ultra Dense Networks

  • IoT in 5G Ultra Dense Networks

  • Energy Harvesting in 5G Ultra Dense Networks

  • Radio Resource Management in 5G Ultra Dense Networks

  • Caching in 5G Ultra Dense Networks

  • Unlicensed Spectrum (LTE-U) in 5G Ultra Dense Networks

  • Network slicing in 5G Ultra Dense Networks

  • Full duplex techniques in 5G Ultra Dense Networks

  • MmWave techniques in 5G Ultra Dense Networks

  • Other topics (PHY layer, MAC layer, Network layer) in 5G Ultra Dense Networks

All accepted papers will be EI indexed.

Important Dates
Paper Submission:         23 July 2017 (final deadline)
Notification Date:            1 September 2017
Final Paper:                    1 October 2017

Submission Instructions

Submitted manuscripts must be formatted in standard IEEE camera ready format (double-column,10pt font) and must be submitted via EDAS as PDF files (submission site: https://edas.info/newPaper.php?c=23469&track=85953). The manuscripts must be no longer than 6 pages. The Program Committee reserves the right to not review papers that violate these formatting rules. Submitted papers must not have been previously published, or be under consideration for publication elsewhere. All submitted papers will be reviewed and judged on originality, technical correctness, relevance, and quality of presentation. All accepted papers must be presented at the workshop by one of the authors.

Length of the workshop

Full-day

Organizers

General Chairs

  • Xiaoli Chu, The University of Sheffield, UK

  • Haijun Zhang, University of Science and Technology Beijing, Beijing

  • Zhu Han, University of Houston, USA

Keynote Speakers

  • Shanzhi Chen, CATT

  • TBA

Technical Program Committee

  • Ekram Hossain, University of Manitoba, Canada

  • Lin Cai, Illinois Institute of Technology, USA

  • Walid Saad, Virginia Tech, USA

  • Alain Mourad, InterDigital Europe, UK

  • Chao Xu, Xidian University, China

  • Edward Au, Huawei Technologies, Canada

  • Lei Lei, University of Luxembourg, Luxembourg

  • Yue Wang, Samsung R&D Institute, UK

  • Peyman TalebiFard, the University of British Columbia, Canada

  • Zhaoming Lu, Beijing University of Posts and Telecommunications, China

  • Ming Ding, NICTA, Australia

  • Derrick Wing Kwan Ng, University of New South Wales, Australia

  • Chunshen Zhu, the University of British Columbia, Canada

  • Xiaodong Xu, BUPT, China

  • Chunxiao Jiang, Tsinghua, China

  • Fredrik Gunnarsson, Ericsson Research, Sweden

  • David Lopez-Perez, Nokia Bell Labs, Ireland

  • Weisi Guo, University of Warwick, UK

  • Andres Alayon Glazunov, Chalmers University of Technology, Sweden

  • Zhengguo Sheng, University of Sussex, UK

  • Afef Feki, Huawei Technologies, France

  • Jose Monserrat, Politechnic University of Valencia, Spain

  • Hamed Ahmadi, University College Dublin, Ireland

  • Xianfu Chen, VTT Technical Research Centre, Finland

  • Deli Qiao, East China Normal University, China

  • Mikko Vehkapera, University of Sheffield, UK

  • Zhiyong Chen, Shanghai Jiaotong University, China

  • Mehdi Bennis, University of Oulu, Finland