1 |
PHAM Q V , FANG F , HA V N , et al. A survey of multi-access edge computing in 5G and beyond: fundamentals, technology integration, and state-of-the-art[J]. IEEE Access, 2020, 8, 116974- 117017.
doi: 10.1109/ACCESS.2020.3001277
|
2 |
RANAWEERA P , JURCUT A D , LIYANAGE M . Survey on multi-access edge computing security and privacy[J]. IEEE Communications Surveys & Tutorials, 2021, 23 (2): 1078- 1124.
|
3 |
DIAO X B , ZHENG J C , WU Y , et al. Joint computing resource, power and channel allocations for D2D-assisted and NOMA-based mobile edge computing[J]. IEEE Access, 2019, 7, 9243- 9257.
doi: 10.1109/ACCESS.2018.2890559
|
4 |
JIANG C F , FAN T T , GAO H H , et al. Energy aware edge computing: a survey[J]. Computer Communications, 2020, 151, 556- 580.
doi: 10.1016/j.comcom.2020.01.004
|
5 |
SIRIWARDHANA Y , PORAMBAGE P , LIYANAGE M , et al. A survey on mobile augmented reality with 5G mobile edge computing: architectures, applications, and technical aspects[J]. IEEE Communications Surveys & Tutorials, 2021, 23 (2): 1160- 1192.
|
6 |
KUANG Z F , MA Z , LI Z , et al. Cooperative computation offloading and resource allocation for delay minimization in mobile edge computing[J]. Journal of Systems Architecture, 2021, 118, 102167.
doi: 10.1016/j.sysarc.2021.102167
|
7 |
MALEKI E F , MASHAYEKHY L , NABAVINEJAD S M . Mobility-aware computation offloading in edge computing using machine learning[J]. IEEE Trans.on Mobile Computing,
doi: 10.1109/TMC.2021.3085527
|
8 |
HU S H , LI G H . Dynamic request scheduling optimization in mobile edge computing for IoT applications[J]. IEEE Internet of Things Journal, 2020, 7 (2): 1426- 1437.
doi: 10.1109/JIOT.2019.2955311
|
9 |
WANG J Y , PAN J L , ESPOSITO F , et al. Edge cloud offloading algorithms: issues, methods, and perspectives[J]. ACM Computing Surveys, 2019, 52 (1): 1- 23.
|
10 |
YANG L C , ZHABNG H I , LI X , et al. A distributed computation offloading strategy in small-cell networks integrated with mobile edge computing[J]. IEEE/ACM Trans.on Networking, 2018, 26 (6): 2762- 2773.
doi: 10.1109/TNET.2018.2876941
|
11 |
LAN L , ZHANG X Y , LIU K Y , et al. An energy-aware task offloading mechanism in multiuser mobile-edge cloud computing[J]. Mobile Information Systems, 2018, 2018, 7646705.
|
12 |
LI K Q . A game theoretic approach to computation offloading strategy optimization for non-cooperative users in mobile edge computing[J]. IEEE Trans.on Sustainable Computing,
doi: 10.1109/TSUSC.2018.2868655
|
13 |
LI Y B, CHEN Y R, LAN T, et al. Mobiqor: Pushing the envelope of mobile edge computing via quality-of-result optimization[C]//Proc. of the IEEE 37th International Conference on Distributed Computing Systems, 2017: 1261-1270.
|
14 |
YANG L C , ZHANG H L , LI X , et al. A distributed computation offloading strategy in small-cell networks integrated with mobile edge computing[J]. IEEE/ACM Trans.on Networking, 2018, 26 (6): 2762- 2773.
doi: 10.1109/TNET.2018.2876941
|
15 |
DENG M F, TIAN H, FAN B. Fine-granularity based applica tion offloading policy in cloud-enhanced small cell networks[C]// Proc. of the IEEE International Conference on Communications Workshops, 2016: 638-643.
|
16 |
NING Z L , DONG P R , KONG X J , et al. A cooperative partial computation offloading scheme for mobile edge computing enabled internet of things[J]. IEEE Internet of Things Journal, 2018, 6 (3): 4804- 4814.
|
17 |
SHU C , ZHAO Z W , HAN Y P , et al. Multi-user offloading for edge computing networks: a dependency-aware and latency-optimal approach[J]. IEEE Internet of Things Journal, 2020, 7 (3): 1678- 1689.
doi: 10.1109/JIOT.2019.2943373
|