Truong et al., 2021 - Google Patents
Partial computation offloading in NOMA-assisted mobile-edge computing systems using deep reinforcement learningTruong et al., 2021
- Document ID
- 10086637519532017976
- Author
- Truong T
- Nguyen T
- Noh W
- Cho S
- et al.
- Publication year
- Publication venue
- IEEE Internet of Things Journal
External Links
Snippet
Mobile-edge computing (MEC) and nonorthogonal multiple access (NOMA) have been regarded as promising technologies for beyond fifth-generation (B5G) and sixth-generation (6G) networks. This study aims to reduce the computational overhead (weighted sum of …
- 230000036961 partial 0 title abstract description 14
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W72/00—Local resource management, e.g. wireless traffic scheduling or selection or allocation of wireless resources
- H04W72/04—Wireless resource allocation
- H04W72/0406—Wireless resource allocation involving control information exchange between nodes
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W72/00—Local resource management, e.g. wireless traffic scheduling or selection or allocation of wireless resources
- H04W72/12—Dynamic Wireless traffic scheduling; Dynamically scheduled allocation on shared channel
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W28/00—Network traffic or resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/54—Store-and-forward switching systems
- H04L12/56—Packet switching systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communication
- H04L9/08—Key distribution or management, e.g. generation, sharing or updating, of cryptographic keys or passwords
- H04L9/0816—Key establishment, i.e. cryptographic processes or cryptographic protocols whereby a shared secret becomes available to two or more parties, for subsequent use
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organizing networks, e.g. ad-hoc networks or sensor networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas
- H04B7/022—Site diversity; Macro-diversity
- H04B7/024—Co-operative use of antennas of several sites, e.g. in co-ordinated multipoint or co-operative multiple-input multiple-output [MIMO] systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W12/00—Security arrangements, e.g. access security or fraud detection; Authentication, e.g. verifying user identity or authorisation; Protecting privacy or anonymity
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network-specific arrangements or communication protocols supporting networked applications
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Truong et al. | Partial computation offloading in NOMA-assisted mobile-edge computing systems using deep reinforcement learning | |
Zhu et al. | Efficient offloading for minimizing task computation delay of NOMA-based multiaccess edge computing | |
Qian et al. | NOMA assisted multi-task multi-access mobile edge computing via deep reinforcement learning for industrial Internet of Things | |
Hu et al. | Dynamic request scheduling optimization in mobile edge computing for IoT applications | |
Saleem et al. | Latency minimization for D2D-enabled partial computation offloading in mobile edge computing | |
Apostolopoulos et al. | Risk-aware data offloading in multi-server multi-access edge computing environment | |
Liu et al. | Dynamic task offloading and resource allocation for ultra-reliable low-latency edge computing | |
Qian et al. | NOMA-enabled mobile edge computing for Internet of Things via joint communication and computation resource allocations | |
Dinh et al. | Learning for computation offloading in mobile edge computing | |
Yang et al. | Efficient resource allocation for mobile-edge computing networks with NOMA: Completion time and energy minimization | |
Huang et al. | Dynamic admission control and resource allocation for mobile edge computing enabled small cell network | |
Chen et al. | NOMA-based multi-user mobile edge computation offloading via cooperative multi-agent deep reinforcement learning | |
Wang et al. | Multiobjective optimization for joint task offloading, power assignment, and resource allocation in mobile edge computing | |
Liao et al. | Joint offloading decision and resource allocation for mobile edge computing enabled networks | |
Yun et al. | 5G multi-RAT URLLC and eMBB dynamic task offloading with MEC resource allocation using distributed deep reinforcement learning | |
Nouri et al. | Joint access and resource allocation in ultradense mmWave NOMA networks with mobile edge computing | |
Hamdi et al. | Energy-efficient joint task assignment and power control in energy-harvesting D2D offloading communications | |
Le et al. | Enhanced resource allocation in D2D communications with NOMA and unlicensed spectrum | |
Li et al. | Cloud–edge collaborative resource allocation for blockchain-enabled Internet of Things: A collective reinforcement learning approach | |
Fan et al. | Joint task offloading and resource allocation for accuracy-aware machine-learning-based IIoT applications | |
Al-Abiad et al. | Decentralized aggregation for energy-efficient federated learning via D2D communications | |
Paymard et al. | Resource allocation in PD‐NOMA–based mobile edge computing system: multiuser and multitask priority | |
Jiang et al. | Decentralized blockchain-based dynamic spectrum acquisition for wireless downlink communications | |
Zhao et al. | Multiobjective resource allocation for mmWave MEC offloading under competition of communication and computing tasks | |
Xu et al. | Task offloading for large-scale asynchronous mobile edge computing: An index policy approach |