[1] |
WOLLSCHLAEGER M , SAUTER T , JASPERNEITE J.The future of industrial communication:automation networks in the era of the Internet of things and industry 4 . 0[J]. IEEE Industrial Electronics Magazine, 2017,11(1): 17-27.
|
[2] |
ABBAS N , ZHANG Y , TAHERKORDI A ,et al. Mobile edge computing:a survey[J]. IEEE Internet of Things, 2018,5(1): 450-465.
|
[3] |
MAO Y Y , YOU C S , ZHANG J ,et al. A survey on mobile edge computing:the communication perspective[J]. IEEE Communication Survey & Tutorials, 2017,19(4): 2322-2358.
|
[4] |
MACH P , BECVAR Z . Mobile edge computing:a survey on architecture and computation offloading[J]. IEEE Communication Survey &Tutorials, 2017,19(3): 1628-1656.
|
[5] |
ETSI ISGs . Mobile edge computing:a key technology towards 5G[S]. White Paper, 2015: 1-16.
|
[6] |
ZHENG K , ZHENG Q , CHATZIMISIONS P ,et al. Heterogeneous vehicular networking:a survey on architecture,challenges and solutions[J]. IEEE Communication Surveys & Tutorials, 2015,17(4): 2377-2396.
|
[7] |
ZHANG K , MAO Y M , LENG S P ,et al. Energy-efficient offloading for mobile edge computing in 5G heterogeneous networks[J]. IEEE Access, 2016(4): 5896-5907.
|
[8] |
ZHANG K , MAO Y M , LENG S P ,et al. Mobile-edge computing for vehicular networks:a promising network paradigm with predictive offloading[J]. IEEE Vehicle Technology Magazine, 2017,12(2): 36-44.
|
[9] |
HOU X S , LI Y , CHEN M ,et al. Vehicular fog computing:a viewpoint of vehicles as the infrastructures[J]. IEEE Transactions on Vehicular Technology, 2016,65(6): 3860-3873.
|
[10] |
HU Q T , WU C , ZHAO X B ,et al. Vehicular multi-access edge computing with licensed sub-6 GHz,IEEE 802.11p and mmWave[J]. IEEE Access, 2017(5): 1995-2004.
|
[11] |
GUO H Z , LIU J J . Collaborative computation offloading for multiaccess edge computing over fiber-wireless networks[J]. IEEE Transactions on Vehicular Technology, 2017,12(2): 4514-4526.
|
[12] |
MNIH V , KAVUKCUOGLU K , SILVER D ,et al. Human-level control through deep reinforcement learning[J]. Nature, 2015,518(7540): 529-533.
|
[13] |
KASHIHARA K , . Deep Q-learning for traffic simulation in autonomous driving at a highway junction[C]// IEEE International Conference on Systems,Man and Cybernetics (SMC). IEEE, 2017: 984-988.
|
[14] |
HE Y , ZHAO N , YIN H X . Integrated networking,caching and computing for connected vehicles:a deep reinforcement learning approach[J]. IEEE Transactions on Vehicular Technology, 2017,67(1): 44-55.
|
[15] |
GUAN K , ZHONG Z D , AI B ,et al. Propagation measurement and modeling of crossing bridge on high-speed railway at 930 MHz[J]. IEEE Transactions on Vehicular Technology, 2014,63(2): 508-514.
|
[16] |
VALCARCE A , ZHANG J.Empirical indoor-to-outdoor propagation model for residential areas at 0.9-3 . 5 GHz[J]. IEEE Antennas and Wireless Propagation Letters, 2010(9): 682-685.
|
[17] |
MIETTINEN A P , NURMINEN J K . Energy efficiency of mobile clients in cloud computing[C]// USENIX Conference on Hot Topics in Cloud Computing. USENIX Association, 2010: 1-7.
|
[18] |
MAO Y Y , ZHANG J , LETAIEF K B . Dynamic computation offloading for mobile-edge computing with energy harvesting devices[J]. IEEE Journal on Selected Areas in Communications, 2016,34(12): 3590-3605.
|
[19] |
ZHANG W W , WEN Y G , GUAN K ,et al. Energy-optimal mobile cloud computing under stochastic wireless channel[J]. IEEE Transactions on Wireless Communications, 2013,12(9): 4569-4581.
|
[20] |
RAPPAPORT T S . Wireless communication:principles and practice[M]. New Jersey: Prentice Hall PRT, 1996.
|