IEEE 2015 Workshop On: Self-Organizing Heterogeneous Networks

Organizing Committee:

    Mugen Peng, Beijing Univer. of Posts & Telecommun., China (pmg@bupt.edu.cn)


    Jingxian Wu, University of Arkansas, USA  (wuj@uark.edu)

    Zhiguo Ding, Newcastle University, Newcstle, UK (z.ding@newcastle.ac.uk)

    Gayan Amarasuriya, Princeton University, USA (amarasur@ualberta.ca)

    Lei Yang, Arizona State University (lyang55@asu.edu)


Track

    Ultra-Dense Heterogeneous Networks(HetNets)/Small Cell Network(SCNs)
    
    Machine Learning and Big Data for 5G

    Self-Organization Network (SoN)

    Heterogeneous Cloud Radio Access Networks (H-CRANs)


Technical Program Committee (Partial): 

    Prof. Aissa Ikhlef, Newcastle University

    Prof. Arumugam Nallanathan, King's College London

    Dr. Chee Wei Tan, City University of Hong Kong

    Dr. Christos Masouros, University College London

    Mr. Dajun Qian, Arizona Sate University

    Dr. Daniel K. C. So, University of Manchester

    Dr. Derrick Wing Kwan Ng, Friedrich-Alexander-University Erlangen-Nürnberg

    Dr. Dimitris Toumpakaris, University of Patras

    Dr. Dong-Hoon Shin, Arizona State University

    Mr. Dong Liang, Beijing University of Posts and Telecommunications

    Dr. Gan Zheng, University of Essex

    Dr. Gongpu Wang, Beijing Jiaotong University

    Prof. Harpreet Dhillon, Virginia Tech

    Dr. Hesham ElSawy, King Abdullah University of Science and Technology

    Dr. Ioannis Krikidis, University of Cyprus

    Dr. Kanapathippillai Cumanan, Newcastle University

    Mr. Karaputugala Gamacharige Madushan Thilina, University of Manitoba

    Dr. Liang Xiao, Xiamen University

    Ms. Ling Tang, Nanjing University of Science and Technology

    Dr. Marco Di Renzo, French National Center for Scientific Research

    Dr. Shengli Zhang, Shenzhen University

    Mr. Xiaowen Gong, Arizona State University

    Dr. Xu Chen, University of Goettingen

    Dr. Yue Chen, Queen Mary University of London

    Dr. Yue Zhao, Stanford University

    Prof. Zhaoyang Zhang, Zhejiang University

    Dr. Zhongyuan Zhao, Beijing University of Posts and Telecommunications

Workshop Description:


The fifth generation (5G) system deployed initially in 2020 is expected to provide about 1000 times higher wireless area capacity and save up to 90% of energy consumption per service as compared with the current 4G system. Furthermore, more than 1000 Gbit/s/km2 area spectral capacity in dense urban environments, 10 times higher battery life time of connected devices, and 5 times reduced end-to-end (E2E) latency are expected in 5G systems. Heterogeneous networks (HetNets) are proposed and investigated by both the academia and industry as standardized for 5G systems to overlay low power nodes within a macro scenario to improve the capacity and extend the coverage.

Actually, deploying and operating the HetNet based 5G system is an extremely complicated task and needs to consider many factors, such as planning, dimensioning, installation, testing, pre-launch optimization, post-launch optimization, performance monitoring, failure mitigation, and failure correction. All those activities are labor-intensive, costly and prone to errors, and any slight oversight may result in customers’ dissatisfaction and a significant loss of revenue. To minimize human intervention and maximize efficiency in planning, deployment, and maintenance activities, self-organizing HetNets (So-HetNets) have been defined in the third generation partnership project (3GPP). The principal objective of introducing So-HetNets is to substantially reduce operational capital expenditure (O/CAPEX) by diminishing human involvement in network operational tasks and optimizing network capacity, coverage and service quality. So-HetNets allow the operators to streamline their operations, not only reducing the complexity of managing co-channel interference in HetNet, but also saving operational costs to all macro and heterogeneous communication entities, to harmonize the whole network management approach and improve the overall operational efficiency.

Inspired by the aforementioned attractive features and potential advantages of So-HetNets, their development and deployment have been gaining momentum in the wireless industry and academia during the past few years. It has also attracted tremendous attention from the 3GPP standardizations. However, So-HetNets also comes with their own challenges, and there are innovative technical issues that still need to be addressed for successful rollout and operation on these networks.

  This workshop will bring together academic and industrial researchers to identify and discuss technical challenges and recent results for 5G So-HetNets.

Topics of Interest (include but are not limited to):
  • System architecture for 5G HetNets/SCNs/H-CRANs

  • Recent standards for HetNets/SCNs/ H-CRANs

  • Self-configuration techniques

  • Self-optimization techniques

  • Self-healing techniques

  • Self-clustering techniques

  • Recent advances in SONs

  • Machine learning in 5G

  • Big data analysis and applications in 5G

  • Field trials or demonstrators

  • Advanced physical layer processing techniques

  • Radio resource allocation optimization

  • Energy harvesting

  • Game theory in 5G HetNets/SCNs /H-CRANs

  • HetNets/SCNs /H-CRANs over SDN


Important dates:

   Paper submission:                          Nov. 1, 2014.

   Acceptance notification:                  Dec. 15, 2014.

   Camera-ready paper submission:    Jan. 10, 2015 (hard deadline)