Tian DANG, Chenxi LIU, Xiqing LIU, et al. Joint uplink and downlink resource allocation for low-latency mobile virtual reality delivery in fog radio access networks[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(1): 73-85.
DOI:
Tian DANG, Chenxi LIU, Xiqing LIU, et al. Joint uplink and downlink resource allocation for low-latency mobile virtual reality delivery in fog radio access networks[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(1): 73-85. DOI: 10.1631/FITEE.2100308.
Joint uplink and downlink resource allocation for low-latency mobile virtual reality delivery in fog radio access networksEnhanced Publication
in which the fog access points are equipped with communication
caching
and computing functionalities
have been anticipated as a promising architecture for enabling virtual reality (VR) applications in wireless networks. Although extensive research efforts have been devoted to designing efficient resource allocation strategies for realizing successful mobile VR delivery in downlink
the equally important resource allocation problem of mobile VR delivery in uplink has so far drawn little attention. In this work
we investigate a mobile VR F-RAN delivery framework
where both the uplink and downlink transmissions are considered. We first characterize the round-trip latency of the system
which reveals its dependence on the communication
caching
and computation resource allocations. Based on this information
we propose a simple yet efficient algorithm to minimize the round-trip latency
while satisfying the practical constraints on caching
computation capability
and transmission capacity in the uplink and downlink. Numerical results show that our proposed algorithm can effectively reduce the round-trip latency compared with various baselines
and the impacts of communication
caching
and computing resources on latency performance are illustrated.
关键词
Keywords
references
Bastug E , Bennis M , Medard M , et al. , 2017 . Toward interconnected virtual reality: opportunities, challenges, and enablers . IEEE Commun Mag , 55 ( 6 ): 110 - 117 . doi: 10.1109/MCOM.2017.1601089 http://doi.org/10.1109/MCOM.2017.1601089
Boyd S , Mattingley J , 2018 . Branch and Bound Methods . Stanford University , Stanford, USA .
Chen MZ , Semiari O , Saad W , et al. , 2020 . Federated echo state learning for minimizing breaks in presence in wireless virtual reality networks . IEEE Trans Wirel Commun , 19 ( 1 ): 177 - 191 . doi: 10.1109/TWC.2019.2942929 http://doi.org/10.1109/TWC.2019.2942929
Chiu TC , Pang AC , Chung WH , et al. , 2019 . Latency-driven fog cooperation approach in fog radio access networks . IEEE Trans Serv Comput , 12 ( 5 ): 698 - 711 . doi: 10.1109/TSC.2018.2858253 http://doi.org/10.1109/TSC.2018.2858253
Cisco System , 2019 . Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2017–2020 . White Paper .
Dai JM , Zhang ZL , Mao SW , et al. , 2020 . A view synthesis-based 360°VR caching system over MEC-enabled C-RAN . IEEE Trans Circ Syst Video Technol , 30 ( 10 ): 3843 - 3855 . doi: 10.1109/TCSVT.2019.2946755 http://doi.org/10.1109/TCSVT.2019.2946755
Dang T , Peng MG , 2019 . Joint radio communication, caching, and computing design for mobile virtual reality delivery in fog radio access networks . IEEE J Sel Areas Commun , 37 ( 7 ): 1594 - 1607 . doi: 10.1109/JSAC.2019.2916486 http://doi.org/10.1109/JSAC.2019.2916486
Du JB , Yu FR , Lu GY , et al. , 2020 . MEC-assisted immersive VR video streaming over terahertz wireless networks: a deep reinforcement learning approach . IEEE Int Things J , 7 ( 10 ): 9517 - 9529 . doi: 10.1109/JIOT.2020.3003449 http://doi.org/10.1109/JIOT.2020.3003449
Hu FH , Deng YS , Saad W , et al. , 2020 . Cellular-connected wireless virtual reality: requirements, challenges, and solutions . IEEE Commun Mag , 58 ( 5 ): 105 - 111 . doi: 10.1109/MCOM.001.1900511 http://doi.org/10.1109/MCOM.001.1900511
Huang HC , Liu B , Chen L , et al. , 2018 . D2D-assisted VR video pre-caching strategy . IEEE Access , 6 : 61886 - 61895 . doi: 10.1109/ACCESS.2018.2868766 http://doi.org/10.1109/ACCESS.2018.2868766
Liu YM , Yu FR , Li X , et al. , 2018 . Distributed resource allocation and computation offloading in fog and cloud networks with non-orthogonal multiple access . IEEE Trans Veh Technol , 67 ( 12 ): 12137 - 12151 . doi: 10.1109/TVT.2018.2872912 http://doi.org/10.1109/TVT.2018.2872912
Nelder JA , Mead R , 1965 . A simplex method for function minimization . Comput J , 7 ( 4 ): 308 - 313 . doi: 10.1093/comjnl/7.4.308 http://doi.org/10.1093/comjnl/7.4.308
Park J , Popovski P , Simeone O , 2018 . Minimizing latency to support VR social interactions over wireless cellular systems via bandwidth allocation . IEEE Wirel Commun Lett , 7 ( 5 ): 776 - 779 . doi: 10.1109/LWC.2018.2823761 http://doi.org/10.1109/LWC.2018.2823761
Park SH , Simeone O , Shitz SS , 2016 . Joint optimization of cloud and edge processing for fog radio access networks . IEEE Trans Wirel Commun , 15 ( 11 ): 7621 - 7632 . doi: 10.1109/TWC.2016.2605104 http://doi.org/10.1109/TWC.2016.2605104
Peng MG , Yan S , Zhang KC , et al. , 2016 . Fog-computing-based radio access networks: issues and challenges . IEEE Netw , 30 ( 4 ): 46 - 53 . doi: 10.1109/MNET.2016.7513863 http://doi.org/10.1109/MNET.2016.7513863
Sun YP , Chen ZY , Tao MX , et al. , 2019 . Communications, caching, and computing for mobile virtual reality: modeling and tradeoff . IEEE Trans Commun , 67 ( 11 ): 7573 - 7586 . doi: 10.1109/TCOMM.2019.2920594 http://doi.org/10.1109/TCOMM.2019.2920594
Yoshihara T , Fujita S , 2019 . Fog-assisted virtual reality MMOG with ultra low latency . 7 th Int Symp on Computing and Networking , p. 121 - 129 . doi: 10.1109/CANDAR.2019.00022 http://doi.org/10.1109/CANDAR.2019.00022
You D , Doan TV , Torre R , et al. , 2019 . Fog computing as an enabler for immersive media: service scenarios and research opportunities . IEEE Access , 7 : 65797 - 65810 . doi: 10.1109/ACCESS.2019.2917291 http://doi.org/10.1109/ACCESS.2019.2917291
Zhang P , Peng MG , Cui SG , et al. , 2022 . Theory and techniques for "intellicise" wireless networks . Front Inform Technol Electron Eng , 23 ( 1 ): 1 - 4 . doi: 10.1631/FITEE.2210000 http://doi.org/10.1631/FITEE.2210000
Zhang Y , Jiao L , Yan JY , et al. , 2019 . Dynamic service placement for virtual reality group gaming on mobile edge cloudlets . IEEE J Sel Areas Commun , 37 ( 8 ): 1881 - 1897 . doi: 10.1109/JSAC.2019.2927071 http://doi.org/10.1109/JSAC.2019.2927071
Zhou Y , Pan CH , Yeoh PL , et al. , 2021 . Communication-and-computing latency minimization for UAV-enabled virtual reality delivery systems . IEEE Trans Commun , 69 ( 3 ): 1723 - 1735 . doi: 10.1109/TCOMM.2020.3040283 http://doi.org/10.1109/TCOMM.2020.3040283
Zipf GK , 1929 . Relative Frequency as a Determinant of Phonetic Change. PhD Thesis , Harvard University , Cambridge, USA .
The trial reading is over, you can activate your VIP account to continue reading.