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Heterogeneous Ultra Dense Networks

Feature Topic


Driven by the development of mobile Internet and smart phones, data traffic grows exponentially in current mobile networks. Initial estimations indicate that, differently from the evolutionary path of previous cellular generations that were 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 the fifth-generation (5G) technologies 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 limited spectrum. Dense small cells can also offload the wireless data traffic of user equipment (UE) from macrocells, especially for an indoor environment where more than 80% of data traffic takes place.
This Feature Topic (FT) will bring together academic and industrial researchers to identify and discuss technical challenges and recent results related to the future mobile networks using Heterogeneous Ultra Dense Networks.approach. Topics of interest include but are not limited to the following:

  • Advanced radio access network architectures (e.g., Cloud-RAN, Fog-RAN, Backhaul/Fronthaul techniques) to support heterogeneous ultra dense devices and users
  • Coexistence of WiFi, Small Cells, HetNets and LTE/LTE-A sharing unlicensed spectrum
  • Self organizing and heterogeneous ultra dense small cell networks
  • Advanced radio resource management (resource allocation, mobility management, interference management,  SON, etc.) for heterogeneous ultra dense 5G networks
  • Software-defined networking (SDN), network function virtualization, network slicing for supporting heterogeneous UDNs
  • Novel applications and service scenarios of ultra dense 5G networks in vehicular Internet, and IoT
  • Energy harvesting, caching , and cognitive radio for supporting heterogeneous UDNs
  • Energy efficiency, spectral efficiency, and big data techniques in heterogeneous ultra dense scenarios
  • Novel multiple access techniques in heterogeneous UDNs, such as SCMA, NOMA, PDMA, MUSA, etc.
  • Supporting network applications, such as video applications for heterogeneous ultra dense networks.
  • Other topics (PHY layer, MAC layer, Network layer) in heterogeneous UDNs


Haijun Zhang
University of Science and Technology Beijing, China

Chunxiao Jiang
Tsinghua University, China

Mehdi Bennis 
University of Oulu, Finland

Mérouane Debbah
Mathematical and Algorithmic Sciences Lab, Huawei, France

Zhu Han
University of Houston, USA

Victor C. M. Leung
The University of British Columbia, Canada