1 |
ABBAS N, ZHANG Y, TAHERKORDI A, et al. Mobile edge computing: a survey. IEEE Internet of Things Journal, 2018, 5(1): 450- 465.
doi: 10.1109/JIOT.2017.2750180
|
2 |
张开元, 桂小林, 任德旺, 等. 移动边缘网络中计算迁移与内容缓存研究综述. 软件学报, 2019, 30(8): 2491- 2516.
URL
|
|
ZHANG K Y, GUI X L, REN D W, et al. Survey on computation offloading and content caching in mobile edge networks. Journal of Software, 2019, 30(8): 2491- 2516.
URL
|
3 |
GIUST F, SCIANCALEPORE V, SABELLA D, et al. Multi-access edge computing: the driver behind the wheel of 5G-connected cars. IEEE Communications Standards Magazine, 2018, 2(3): 66- 73.
doi: 10.1109/MCOMSTD.2018.1800013
|
4 |
WU Y, QIAN L P, NI K J, et al. Delay-minimization nonorthogonal multiple access enabled multi-user mobile edge computation offloading. IEEE Journal of Selected Topics in Signal Processing, 2019, 13(3): 392- 407.
doi: 10.1109/JSTSP.2019.2893057
|
5 |
SHU C, ZHAO Z W, HAN Y P, et al. Multi-user offloading for edge computing networks: a dependency-aware and latency-optimal approach. IEEE Internet of Things Journal, 2020, 7(3): 1678- 1689.
doi: 10.1109/JIOT.2019.2943373
|
6 |
WANG X J, WEI X, WANG L. A deep learning based energy-efficient computational offloading method in Internet of vehicles. China Communications, 2019, 16(3): 81- 91.
|
7 |
FU Y R, YANG X L, YANG P, et al. Energy-efficient offloading and resource allocation for mobile edge computing enabled mission-critical Internet-of-things systems. EURASIP Journal on Wireless Communications and Networking, 2021, 2021(1): 1- 16.
doi: 10.1186/s13638-020-01861-8
|
8 |
TRAN T X, POMPILI D. Joint task offloading and resource allocation for multi-server mobile-edge computing networks. IEEE Transactions on Vehicular Technology, 2019, 68(1): 856- 868.
doi: 10.1109/TVT.2018.2881191
|
9 |
ZHANG Q, GUI L, HOU F, et al. Dynamic task offloading and resource allocation for mobile-edge computing in dense cloud RAN. IEEE Internet of Things Journal, 2020, 7(4): 3282- 3299.
doi: 10.1109/JIOT.2020.2967502
|
10 |
CAO H J, CAI J. Distributed multiuser computation offloading for cloudlet-based mobile cloud computing: a game-theoretic machine learning approach. IEEE Transactions on Vehicular Technology, 2018, 67(1): 752- 764.
doi: 10.1109/TVT.2017.2740724
|
11 |
QI P, SHU H, ZHU Q. Reliability and mobility aware task offloading strategy and scheduling algorithm in wisdom medical scenario. Journal of Intelligent & Fuzzy Systems, 2021, 40(3): 5255- 5273.
|
12 |
CHEN S Y, CHEN H P, RUAN J T, et al. Context-aware online offloading strategy with mobility prediction for mobile edge computing[C]//Proceedings of International Conference on Computer Communications and Networks. Washington D. C., USA: IEEE Press, 2021: 1-9.
|
13 |
LU Y F, CHEN Z Z, GAO Q H, et al. A mobility-aware and sociality-associate computation offloading strategy for IoT. Wireless Communications and Mobile Computing, 2021, 26(3): 1- 12.
|
14 |
DAI B, NIU J W, REN T, et al. Toward mobility-aware computation offloading and resource allocation in end-edge-cloud orchestrated computing. IEEE Internet of Things Journal, 2022, 9(19): 19450- 19462.
doi: 10.1109/JIOT.2022.3168036
|
15 |
ZHAN W H, LUO C B, MIN G Y, et al. Mobility-aware multi-user offloading optimization for mobile edge computing. IEEE Transactions on Vehicular Technology, 2020, 69(3): 3341- 3356.
doi: 10.1109/TVT.2020.2966500
|
16 |
LIU Y Q, LIU C B, LIU J, et al. Mobility-aware and code-oriented partitioning computation offloading in multi-access edge computing. Journal of Grid Computing, 2022, 20(2): 11.
doi: 10.1007/s10723-022-09599-x
|
17 |
XIE Y, SUN Y Y, XU F, et al. The offloading algorithm of mobile edge computing considering mobility in the intelligent inspection scenario. Transactions on Emerging Telecommunications Technologies, 2022, 33(7): 44- 57.
|
18 |
HU H, WANG Q, HU R Q, et al. Mobility-aware offloading and resource allocation in a MEC-enabled IoT network with energy harvesting. IEEE Internet of Things Journal, 2021, 24(8): 17541- 17556.
|
19 |
ZHAO H L, DENG S G, ZHANG C, et al. A mobility-aware cross-edge computation offloading framework for partitionable applications[C]//Proceedings of IEEE International Conference on Web Services. Washington D. C., USA: IEEE Press, 2019: 193-200.
|
20 |
LI C X, WANG H, SONG R F. Mobility-aware offloading and resource allocation in NOMA-MEC systems via DC. IEEE Communications Letters, 2022, 26(5): 1091- 1095.
doi: 10.1109/LCOMM.2022.3154434
|
21 |
JAHANDAR S, KOUHALVANDI L, SHAYEA I, et al. Mobility-aware offloading decision for multi-access edge computing in 5G networks. Sensors, 2022, 22(7): 2692.
doi: 10.3390/s22072692
|
22 |
刘明明, 崔春风, 童小娇, 等. 混合整数非线性规划的算法软件及最新进展. 中国科学: 数学, 2016, 46(1): 1- 20.
URL
|
|
LIU M M, CUI C F, TONG X J, et al. Algorithms, softwares and recent developments of mixed integer nonlinear programming. Scientia Sinica(Mathematica), 2016, 46(1): 1- 20.
URL
|
23 |
BOYD S, VANDENBERGHE L, FAYBUSOVICH L. Convex optimization. IEEE Transactions on Automatic Control, 2006, 51(11): 1859.
doi: 10.1109/TAC.2006.884922
|
24 |
YAO Y, QIN Y, FENG W, et al. KFTO: Kuhn-Munkres based fair task offloading in fog networks. Computer Networks, 2021, 195, 108131.
doi: 10.1016/j.comnet.2021.108131
|
25 |
SONMEZ C, OZGOVDE A, ERSOY C. EdgeCloudSim: an environment for performance evaluation of edge computing systems. Transactions on Emerging Telecommunications Technologies, 2018, 29(11): 39- 44.
|
26 |
杨天, 杨军. 移动边缘计算中的卸载决策与资源分配策略. 计算机工程, 2021, 47(2): 19- 25.
URL
|
|
YANG T, YANG J. Offloading decision and resource allocation strategy in mobile edge computing. Computer Engineering, 2021, 47(2): 19- 25.
URL
|