Mobile communication technology is leading towards the deployment of Fifth
generation (5G) networks, wherein Internet of Things (IoT) is likely to
play a central role. It is expected that 5G deployments will be
characterized by increased network density, enhanced capacity, near
ubiquitous connectivity, and ultra-reliable and low latency communications,
in order to deliver flawless quality of service (QoS) that is essential for
IoT to be successful. To deal with these trends and support the growing
appetite of data services, mobile backhaul becomes an indispensable
solution towards realising a 5G network. Moreover, the emergence of dense
heterogeneous networks (HetNets), which are constantly promoted as a prime
candidate for 5G evolution, has further provisioned the need of mobile
backhaul solutions while making it a critical component of RAN. However,
wireless backhauling relies on Small Cell Base Stations (SBSs); wherein the
installation of extra terrestrial infrastructures for SBSs may not be an
acceptable solution due to the high cost of deployment. Thus, a huge
paradigm shift in backhaul network design is highly desirable for 5G
networks in order to dynamically manage the increasing traffic demands of
SBSs and cater new applications with ease. In this direction, the
integration of both terrestrial and aerial network components can be
considered a promising solution. Therefore, drone-mounted infrastructure
are envisioned to supplement the terrestrial infrastructure while improving
flexibility and reliability of backhaul operations. However, in order to
reap the full potential of drones in 5G backhaul, it must cope with the
inherent challenges like lack of fixed backhaul links, multi-drone
coordination, collision and crash avoidance, sparsely and intermittently
connected network topologies, and moreover limited communication,
computation, and endurance capabilities. Therefore, the proposed workshop
aims to bring together researchers and practitioners to share their ideas,
latest findings, and state-of-the-art results on fostering the promising
benefits of drones in 5G backhaul networks.

*Important Dates*

Submission Deadline: January 15, 2020
Notification of Acceptance: February 15, 2020
Camera Ready: March 6, 2020


*General Co-chairs*

Sahil Garg (École de technologie supérieure, Montreal, Canada)

Mohsen Guizani (Qatar University, Qatar)

Hsiao-Hwa Chen (National Cheng Kung University, Taiwan)

Song Guo (The Hong Kong Polytechnic University, Hong Kong)

*Technical Program Chair*

Kuljeet Kaur (École de technologie supérieure, Montreal, Canada)

*Publicity Co-Chairs*

Dushantha Nalin K. Jayakody (National Research Tomsk Polytechnic
University, Russia)

Zhihan Lv (Qingdao University, China)

Alireza Jolfaei (Macquarie University, Sydney, Australia)

Jia Hu (University of Exeter, UK)

*Steering Committee*

Athanasios V. Vasilakos (University of Technology Sydney, Australia and
Lulea University of Technology, Sweden)

Min Chen (Huazhong University of Science and Technology, Wuhan, China)

Victor C.M. Leung (Shenzhen University, China and The University of British
Columbia, Canada)

Fabrizio Granelli (University of Trento, Italy)

Hongwei Li (University of Electronic Science and Technology of China,
Chengdu, China)

Christos Verikoukis (Telecommunications Technological Center of Catalonia,

Jong Hyuk Park (Seoul National University of Science and Technology, Seoul,
South Korea)

Danda B. Rawat (Howard University, USA)

*Technical Program Committee*

Ranga Rao Venkatesha Prasad (Delft University of Technology, The

Syed Hassan Ahmed (JMA Wireless, USA)

Biplab Sikdar (National University of Singapore, Singapore)

Md Zakirul Alam Bhuiyan (Fordham University, New York, USA)

Abbas Bradai (XLIM Institute, University of Poitiers, France)

Shahid Mumtaz (Instituto de Telecomunicações, Portugal)

Ali Kashif Bashir (Manchester Metropolitan University, UK)

Bong Jun Choi (Soongsil University, Seoul, South Korea)

Francesco Piccialli (University of Naples Federico II, Italy)

Mithun Mukherjee (Guangdong University of Petrochemical Technology, China)
Roch H. Glitho (Concordia University, Montreal, Canada)

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