Wireless Virtual Reality in Beyond 5G Systems with the Internet of Intelligence

Virtual reality (VR) over wireless has promising applications in healthcare, education, entertainment, and industrial production. However, it is difficult for the existing wireless systems to meet the needs of massive content transmission, ultra-low latency, and high computation in wireless VR. In this article, with the recent advances of edge intelligence and the Internet of Intelligence, we propose a novel framework that can jointly provide computation, storage, and communication resources for wireless VR in beyond 5G systems. In this framework, intelligence can be fully exploited to coordinate the computing, caching, and transmission systems to enable ubiquitous deployments of wireless VR. We present some key techniques and propose specific methods to support wireless VR. In addition, we propose a novel quantum-inspired RL reinforcement learning (QRL) algorithm for the multidimensional resource provisioning issue in wireless VR. In the simulations, some essential performance metrics are evaluated and some interesting results are presented, showing the effectiveness of the proposed strategy.

[1]  Jun Huang,et al.  Intelligent Edge Computing in Internet of Vehicles: A Joint Computation Offloading and Caching Solution , 2021, IEEE Transactions on Intelligent Transportation Systems.

[2]  Antonios Argyriou,et al.  MEC-Assisted Panoramic VR Video Streaming Over Millimeter Wave Mobile Networks , 2019, IEEE Transactions on Multimedia.

[3]  Philip Rosedale,et al.  Virtual Reality: The Next Disruptor: A new kind of worldwide communication , 2017, IEEE Consumer Electronics Magazine.

[4]  Abbas Jamalipour,et al.  Cooperative Caching and Transmission in CoMP-Integrated Cellular Networks Using Reinforcement Learning , 2020, IEEE Transactions on Vehicular Technology.

[5]  Ke Zhang,et al.  Artificial Intelligence Inspired Transmission Scheduling in Cognitive Vehicular Communications and Networks , 2019, IEEE Internet of Things Journal.

[6]  Ke Zhang,et al.  Edge Intelligence and Blockchain Empowered 5G Beyond for the Industrial Internet of Things , 2019, IEEE Network.

[7]  F. Richard Yu,et al.  From the Internet of Information to the Internet of Intelligence , 2019, ArXiv.

[8]  Yan Zhang,et al.  Artificial Intelligence Empowered Edge Computing and Caching for Internet of Vehicles , 2019, IEEE Wireless Communications.

[9]  F. Richard Yu,et al.  Resource Allocation for Information-Centric Virtualized Heterogeneous Networks With In-Network Caching and Mobile Edge Computing , 2017, IEEE Transactions on Vehicular Technology.

[10]  Kyungwhoon Cheun,et al.  Millimeter-wave beamforming as an enabling technology for 5G cellular communications: theoretical feasibility and prototype results , 2014, IEEE Communications Magazine.

[11]  Zhaolong Ning,et al.  Multi-Agent Imitation Learning for Pervasive Edge Computing: A Decentralized Computation Offloading Algorithm , 2021, IEEE Transactions on Parallel and Distributed Systems.

[12]  Mehdi Bennis,et al.  Toward Interconnected Virtual Reality: Opportunities, Challenges, and Enablers , 2016, IEEE Communications Magazine.

[13]  Weihao Yuan,et al.  A Novel OFDM Autoencoder Featuring CNN-Based Channel Estimation for Internet of Vessels , 2020, IEEE Internet of Things Journal.

[14]  Yuhao Zhu,et al.  Energy-Efficient Video Processing for Virtual Reality , 2019, 2019 ACM/IEEE 46th Annual International Symposium on Computer Architecture (ISCA).