-------- Weitergeleitete Nachricht -------- Betreff: [TCCC-ANNOUNCE] CFP - IEEE Communications Magazine Special issue on Heterogeneous Ultra Dense Networks [Deadline: May 15] Datum: Sat, 22 Apr 2017 19:34:59 -0700 Von: Chunsheng Zhu cszhu@ECE.UBC.CA Antwort an: Chunsheng Zhu cszhu@ECE.UBC.CA An: tccc-announce@COMSOC.ORG

IEEE Communications Magazine Special issue on Heterogeneous Ultra Dense Networks

------------------- Call for papers

Driven by the development of mobile Internet and smart phones, data traffic grows exponentially in current mobile networks. Initial estimations indicate that, different 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 densi?cation. 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 limited 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 data traffic occurs. This special issue 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. 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 Coexisting 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

------------------- SUBMISSIONS

Articles should be tutorial in nature, with the intended audience being all members of the communications technology communities. They should be written in a style comprehensible to readers outside the specialty of the article. Mathematical equations should not be used (in justified cases up to three simple equations are allowed). Articles should not exceed 4500 words. Figures and tables should be limited to a combined total of six. The number of archival references is not to exceed 15. Complete guidelines for manuscript preparation can be found via the link http://www.comsoc.org/commag/paper-submission-guidelines. Please send a PDF (preferred) or MS-Word formatted paper via Manuscript Central (http://mc.manuscriptcentral.com/commag-ieee). The timetable is as follows:

------------------- IMPORTANT DATES

Manuscript Submission Deadline: May 15, 2017 Decision Notification: August 15, 2017 Final Manuscript Due Date: September 15, 2017 Publication Date: December 2017

------------------- GUEST EDITORS

Haijun Zhang, University of Science and Technology Beijing, China. dr.haijun.zhang@ieee.org Chunxiao Jiang, Tsinghua University, China. jchx@tsinghua.edu.cn Mehdi Bennis, University of Oulu, Finland. bennis@ee.oulu.fi Mérouane Debbah, Mathematical and Algorithmic Sciences Lab, Huawei, France. merouane.debbah@huawei.com Zhu Han, University of Houston, USA. zhan2@central.uh.edu Victor C. M. Leung, The University of British Columbia, Canada. vleung@ece.ubc.ca

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