An actor-critic deep reinforcement learning approach for transmission scheduling in cognitive internet of things systems
H Yang, X Xie - IEEE Systems Journal, 2019 - ieeexplore.ieee.org
The cognitive Internet of Things (CIoT) has attracted much interest recently in wireless
networks due to its wide applications in smart cities, intelligent transportation systems, and …
networks due to its wide applications in smart cities, intelligent transportation systems, and …
Data-Driven Resource Allocation for Deep Learning in IoT Networks
We consider an Internet of Things (IoT) network, where a large amount of sensor data is
transmitted from wireless IoT devices to a central server for the classification of system …
transmitted from wireless IoT devices to a central server for the classification of system …
Resource allocation for IRS-aided JP-CoMP downlink cellular networks with underlaying D2D communications
W Wang, L Yang, A Meng, Y Zhan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper investigates resource allocation design for intelligent reflecting surface (IRS)-
aided joint processing coordinated multipoint (JP-CoMP) downlink cellular networks with …
aided joint processing coordinated multipoint (JP-CoMP) downlink cellular networks with …
Reconfigurable intelligent surface assisted OFDM relaying: Subcarrier matching with balanced SNR
This paper considers a reconfigurable intelligent surface (RIS) aided orthogonal frequency
division multiplexing (OFDM) relaying system, and investigates the joint design of RIS …
division multiplexing (OFDM) relaying system, and investigates the joint design of RIS …
Energy-efficient resource allocation for heterogeneous services in OFDMA downlink networks: Systematic perspective
In the area of energy-efficient (EE) resource allocation, only limited work has been done on
consideration of both transmitter and receiver energy consumption. In this paper, we …
consideration of both transmitter and receiver energy consumption. In this paper, we …
Deep reinforcement learning-based spectrum allocation and power management for IAB networks
The integrated access and backhaul (IAB) has demonstrated tremendous potential in the
fifth-generation (5G) network, acting as an economical and sustainable alternative to …
fifth-generation (5G) network, acting as an economical and sustainable alternative to …
Deep reinforcement learning based intelligent reflecting surface optimization for MISO communication systems
This letter investigates the intelligent reflecting surface (IRS)-aided multiple-input single-
output wireless transmission system. Particularly, the optimization of the passive phase shift …
output wireless transmission system. Particularly, the optimization of the passive phase shift …
Low-cost passive beamforming for RIS-aided wideband OFDM systems
Reconfigurable intelligent surface (RIS) has become a promising solution to improve the
performance of future wireless systems with low energy consumptions. Concerning a RIS …
performance of future wireless systems with low energy consumptions. Concerning a RIS …
A multi-agent deep reinforcement learning based spectrum allocation framework for D2D communications
Device-to-device (D2D) communication has been recognized as a promising technique to
improve spectrum efficiency. However, D2D transmission as an underlay causes severe …
improve spectrum efficiency. However, D2D transmission as an underlay causes severe …
Fast channel estimation for IRS-assisted OFDM
In this letter, we study efficient channel estimation for an intelligent reflecting surface (IRS)-
assisted orthogonal frequency division multiplexing (OFDM) system to achieve minimum …
assisted orthogonal frequency division multiplexing (OFDM) system to achieve minimum …