[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Ye et al., 2022 - Google Patents

Joint MCS adaptation and RB allocation in cellular networks based on deep reinforcement learning with stable matching

Ye et al., 2022

Document ID
10329032725626456314
Author
Ye X
Fu L
Publication year
Publication venue
IEEE Transactions on Mobile Computing

External Links

Snippet

Joint modulation-coding scheme (MCS) adaptation and resource block (RB) allocation is an effective approach to guarantee different quality of service (QoS) requirements of all UEs under dynamic network environments. In this article, we consider a fifth generation (5G) …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0015—Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the adaptation strategy
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0002—Systems modifying transmission characteristics according to link quality, e.g. power backoff by adapting the transmission rate
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0023—Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the signalling
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/003—Arrangements for allocating sub-channels of the transmission path
    • H04L5/0058—Allocation criteria
    • 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
    • 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
    • H04B7/04—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H04B7/0417—Feedback systems
    • 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
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/02—Details
    • 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
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00—Traffic regulation in packet switching networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L45/00—Routing or path finding of packets in data switching networks
    • 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
    • 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
    • Y02B60/30—Techniques for reducing energy-consumption in wire-line communication networks

Similar Documents

Publication Publication Date Title
Salodkar et al. An on-line learning algorithm for energy efficient delay constrained scheduling over a fading channel
Ye et al. Joint MCS adaptation and RB allocation in cellular networks based on deep reinforcement learning with stable matching
Comșa et al. 5MART: A 5G SMART scheduling framework for optimizing QoS through reinforcement learning
Zhang et al. Joint offloading and resource allocation using deep reinforcement learning in mobile edge computing
Wang et al. Online convex optimization for efficient and robust inter-slice radio resource management
Sharma et al. Deep reinforcement learning for delay-sensitive LTE downlink scheduling
Ahmadi et al. Multicell multiuser OFDMA dynamic resource allocation using ant colony optimization
Van Nguyen et al. Cross-layer optimization for congestion and power control in OFDM-based multi-hop cognitive radio networks
Leturc et al. Energy efficient resource allocation for Type-I HARQ under the Rician channel
Yu et al. Control period adaptation and resource allocation for joint uplink and downlink in NB-IoT networks
Huang et al. Joint AMC and resource allocation for mobile wireless networks based on distributed MARL
Dovelos et al. Optimal resource allocation in IEEE 802.11 ax uplink OFDMA with scheduled access
Liang et al. Decentralized bit, subcarrier and power allocation with interference avoidance in multicell OFDMA systems using game theoretic approach
Labana et al. Unsupervised deep learning approach for near optimal power allocation in CRAN
Gamgam et al. On the queuing model of the energy-delay tradeoff in wireless links with power control and link adaptation
Wei et al. Pricing-based power allocation in wireless network virtualization: A game approach
Chen et al. Virtualized radio resource pre-allocation for QoS based resource efficiency in mobile networks
Li et al. Deep reinforcement learning based task offloading and resource allocation in small cell mec
Li et al. Average AoI minimization in WP-IoT networks: Optimal scheduling for NOMA transmission
Qureshi et al. Online cross-layer learning in heterogeneous cognitive radio networks without CSI
Wu et al. Hierarchical Learning for IRS-Assisted MEC Systems with Rate-Splitting Multiple Access
Taki et al. A framework for integrated discrete-rate and power adaptation and user selection in heterogeneous wireless networks
Sohaib et al. Green resource allocation in cloud-native O-RAN enabled small cell networks
Rabee et al. Energy Efficient Resource Allocation Approach for Uplink NOMA Multi-Cell Systems Based on Multi-Agent DRL
Aniba et al. Resource allocation in HSDPA using best-users selection under code constraints