A Hybrid Learning Framework for Service Function Chaining Across Geo-Distributed Data Centers
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3024135
Abstract: Service function chaining (SFC) focuses mainly on deploying various network functions in geographically distributed data centers and providing interconnect routing among them. Traditional (convex optimization-based) SFC algorithms exhibit some disadvantages on the scalability and accuracy.… read more here.
Keywords: drl; service function; distributed data; function chaining ... See more keywords
A DRL Strategy for Optimal Resource Allocation along with 3D Trajectory Dynamics in UAV-MEC Network
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3278591
Abstract: Advances in Unmanned Air Vehicle (UAV) technology have paved a way for numerous configurations and applications in communication systems. However, UAV dynamics play an important role in determining its effective use. In this article, while… read more here.
Keywords: drl; network; strategy; resource allocation ... See more keywords
You Calculate and I Provision: A DRL-Assisted Service Framework to Realize Distributed and Tenant-Driven Virtual Network Slicing
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Lightwave Technology"
DOI: 10.1109/jlt.2020.3023693
Abstract: This article studies the problem of virtual network (VNT) slicing in datacenter interconnections (DCIs), and proposes a novel service framework to better balance the tradeoff between cost-effectiveness, and time-efficiency. Our idea is to partition a… read more here.
Keywords: drl; framework; service framework; virtual network ... See more keywords
Correlation of Defect Luminescence and Recombination in Multicrystalline Silicon
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal of Photovoltaics"
DOI: 10.1109/jphotov.2018.2875209
Abstract: Correlations between defect-related luminescence (DRL) and recombination mechanisms of multicrystalline silicon wafers are investigated by hyperspectral photoluminescence (PL) imaging at cryogenic temperatures (∼80 K) and by PL-based techniques for charge carrier lifetime at room temperature.… read more here.
Keywords: drl; multicrystalline silicon; recombination; luminescence ... See more keywords
Dynamic Beam Hopping for DVB-S2X GEO Satellite: A DRL-Powered GA Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2022.3141420
Abstract: Dynamic beam hopping (DBH) is a crucial technology for adapting to the flexibility of service configurations in multi-beam satellite (MBS) communications. To solve the problem that the traditional beam-hopping method is difficult to adapt to… read more here.
Keywords: drl; satellite; beam hopping; drl powered ... See more keywords
An Integrated Multi-Channel Biopotential Recording Analog Front-End IC With Area-Efficient Driven-Right-Leg Circuit
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Biomedical Circuits and Systems"
DOI: 10.1109/tbcas.2019.2959412
Abstract: A multi-channel biopotential recording analog front-end (AFE) with a fully integrated area-efficient driven-right-leg (DRL) circuit is presented in this paper. The proposed AFE includes 10 channels of low-noise capacitive coupled instrumentation amplifier (CCIA), one shared… read more here.
Keywords: drl; area; channel biopotential; multi channel ... See more keywords
Network Topology Optimization via Deep Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2023.3244239
Abstract: Topology impacts important network performance metrics, including link utilization, throughput and latency, and is of central importance to network operators. However, due to the combinatorial nature of network topology, it is extremely difficult to obtain… read more here.
Keywords: topology; network; network topology; drl ... See more keywords
Enabling Scalable Routing in Software-Defined Networks With Deep Reinforcement Learning on Critical Nodes
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM Transactions on Networking"
DOI: 10.1109/tnet.2021.3126933
Abstract: Traditional routing schemes usually use fixed models for routing policies and thus are not good at handling complicated and dynamic traffic, leading to performance degradation (e.g., poor quality of service). Emerging Deep Reinforcement Learning (DRL)… read more here.
Keywords: drl; reinforcement learning; performance; deep reinforcement ... See more keywords
Proactive and AoI-Aware Failure Recovery for Stateful NFV-Enabled Zero-Touch 6G Networks: Model-Free DRL Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Network and Service Management"
DOI: 10.1109/tnsm.2021.3113054
Abstract: In this paper, we propose a Zero-Touch, deep reinforcement learning (DRL)-based Proactive Failure Recovery framework called ZT-PFR for stateful network function virtualization (NFV)-enabled networks. To this end, we formulate a resource-efficient optimization problem minimizing the… read more here.
Keywords: drl; failure recovery; nfv enabled; failure ... See more keywords