Tang et al., 2020 - Google Patents
Task number maximization offloading strategy seamlessly adapted to UAV scenarioTang et al., 2020
View PDF- Document ID
- 14761708799533290508
- Author
- Tang Q
- Chang L
- Yang K
- Wang K
- Wang J
- Sharma P
- Publication year
- Publication venue
- Computer Communications
External Links
Snippet
Mobile edge computing (MEC) has been proposed in recent years to process resource- intensive and delay-sensitive applications at the edge of mobile networks, which can break the hardware limitations and resource constraints at user equipment (UE). In order to fully …
- 230000005540 biological transmission 0 abstract description 21
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
- H04W72/12—Dynamic Wireless traffic scheduling; Dynamically scheduled allocation on shared channel
- H04W72/1205—Schedule definition, set-up or creation
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W52/00—Power Management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC [Transmission power control]
- H04W52/18—TPC being performed according to specific parameters
-
- 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
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W52/00—Power Management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/02—Power saving arrangements
- H04W52/0209—Power saving arrangements in terminal devices
-
- 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
- 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
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network-specific arrangements or communication protocols supporting networked applications
- H04L67/10—Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—INDEXING SCHEME RELATING TO CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. INCLUDING HOUSING AND APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B60/00—Information and communication technologies [ICT] aiming at the reduction of own energy use
- Y02B60/50—Techniques for reducing energy-consumption in wireless communication networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W88/00—Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
- H04W88/08—Access point devices
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Tang et al. | Task number maximization offloading strategy seamlessly adapted to UAV scenario | |
Mao et al. | Energy efficiency and delay tradeoff for wireless powered mobile-edge computing systems with multi-access schemes | |
Guo et al. | Online learning based computation offloading in MEC systems with communication and computation dynamics | |
Al-Shuwaili et al. | Energy-efficient resource allocation for mobile edge computing-based augmented reality applications | |
Ren et al. | Collaborative cloud and edge computing for latency minimization | |
Hu et al. | Dynamic request scheduling optimization in mobile edge computing for IoT applications | |
Tang et al. | Multi-user computation offloading in mobile edge computing: A behavioral perspective | |
Li et al. | A cooperative resource allocation model for IoT applications in mobile edge computing | |
Liao et al. | Joint offloading decision and resource allocation for mobile edge computing enabled networks | |
Zhong et al. | Cooperative service caching and computation offloading in multi-access edge computing | |
Chen et al. | Code caching-assisted computation offloading and resource allocation for multi-user mobile edge computing | |
Li et al. | Radio and computing resource allocation with energy harvesting devices in mobile edge computing environment | |
Younis et al. | Energy-latency-aware task offloading and approximate computing at the mobile edge | |
Shu et al. | Joint offloading strategy based on quantum particle swarm optimization for MEC-enabled vehicular networks | |
Li et al. | Distributed task offloading strategy to low load base stations in mobile edge computing environment | |
CN112512065B (en) | Method for unloading and migrating under mobile awareness in small cell network supporting MEC | |
Qu et al. | Robust offloading scheduling for mobile edge computing | |
Chen et al. | Resource allocation and computation offloading for multi-access edge computing with fronthaul and backhaul constraints | |
CN112654058A (en) | Mobile edge computing offload and resource allocation algorithm in D2D multicast network | |
Zhao et al. | Uplink resource allocation in mobile edge computing-based heterogeneous networks with multi-band RF energy harvesting | |
Wang et al. | Joint heterogeneous tasks offloading and resource allocation in mobile edge computing systems | |
Wang et al. | Task offloading and resource allocation for UAV-assisted mobile edge computing with imperfect channel estimation over Rician fading channels | |
Nadeem et al. | Quality of service based resource allocation in D2D enabled 5G-CNs with network slicing | |
Nguyen et al. | Let's share the resource when we’re Co-located: colocation edge computing | |
Paymard et al. | Task scheduling based on priority and resource allocation in multi-user multi-task mobile edge computing system |