Demo Abstract: Mobile Augmented Reality Leveraging Cloud Radio Access Networks

Cloud Radio Access Network (C-RAN) is emerging as a transformative paradigmatic architecture for the next generation of wireless cellular networks. In this demo, a programmable C-RAN testbed is implemented where the Base Band Unit (BBU) is virtualized using the OpenAirInterface (OAI) software platform, and the eNodeB and User Equipment (UEs) are implemented using Software-Defined Radio (SDR) USRP boards. Based on our testbed architecture, we further develop a novel hierarchical computation mechanism to improve the performance of mobile Augmented Reality (AR) applications.

[1]  Dario Pompili,et al.  Understanding the Computational Requirements of Virtualized Baseband Units Using a Programmable Cloud Radio Access Network Testbed , 2017, 2017 IEEE International Conference on Autonomic Computing (ICAC).

[2]  Dario Pompili,et al.  Joint Task Offloading and Resource Allocation for Multi-Server Mobile-Edge Computing Networks , 2017, IEEE Transactions on Vehicular Technology.

[3]  Yuanming Shi,et al.  Computation offloading in cloud-RAN based mobile cloud computing system , 2016, 2016 IEEE International Conference on Communications (ICC).

[4]  Dario Pompili,et al.  Bandwidth and Energy-Aware Resource Allocation for Cloud Radio Access Networks , 2018, IEEE Transactions on Wireless Communications.

[5]  C-ran the Road towards Green Ran , 2022 .

[6]  Dario Pompili,et al.  Fronthaul-Aware Resource Allocation for Energy Efficiency Maximization in C-RANs , 2018, 2018 IEEE International Conference on Autonomic Computing (ICAC).

[7]  Yunlong Cai,et al.  An Edge-Computing Based Architecture for Mobile Augmented Reality , 2018, IEEE Network.

[8]  Erik Dahlman,et al.  4G: LTE/LTE-Advanced for Mobile Broadband , 2011 .