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Found 26 papers, 0 papers with code
Efficient Resource Allocation and User Association in NOMA-Enabled Vehicular-Aided HetNets with High Altitude Platforms
The joint resource allocation optimization problem consists of three sub-problems: bandwidth allocation, user association, and transmission power allocation.
Joint Computation and Communication Resource Optimization for Beyond Diagonal UAV-IRS Empowered MEC Networks
We propose a joint optimization strategy to reduce system's worst-case latency and UAV hovering time by optimizing BD-IRS-UAV deployment and resource allocation.
Dynamic Resource Management in Integrated NOMA Terrestrial-Satellite Networks using Multi-Agent Reinforcement Learning
Through extensive simulations, we demonstrate that our approach surpasses conventional single-agent deep reinforcement learning algorithms in addressing cache design and resource allocation challenges in integrated terrestrial-satellite networks.
Deep Reinforcement Learning for Backscatter Communications: Augmenting Intelligence in Future Internet of Things
Backscatter communication (BC) technology offers sustainable solutions for next-generation Internet-of-Things (IoT) networks, where devices can transmit data by reflecting and adjusting incident radio frequency signals.
Enhancing Congestion Control to Improve User Experience in IoT Using LSTM Network
The gathered data is used to create and train an LSTM network architecture specific to the IoT environment.
Reconfigurable Intelligent Surfaces for 6G Non-Terrestrial Networks: Assisting Connectivity from the Sky
This paper studies the potential of RIS-integrated NTNs to revolutionize the next-generation connectivity.
Reconfigurable Intelligent Surfaces Enhanced NOMA D2D Communications Underlaying UAV Networks
The objective is to maximize the sum rate of NOMA D2D communications by simultaneously optimizing the power budget of D2D transmitter, NOMA power allocation coefficients of D2D receivers and passive beamforming of RIS while guaranteeing the quality of services of UAV user.
RIS-Assisted Energy-Efficient LEO Satellite Communications with NOMA
Then, in step 2, given the transmit power, we design passive beamforming for RIS by solving the semi-definite programming.
Energy-Efficient RIS-Enabled NOMA Communication for 6G LEO Satellite Networks
The proposed framework simultaneously optimizes the transmit power of ground terminals at LEO satellite and passive beamforming at RIS while ensuring the quality of services.
Intelligent and Secure Radio Environments for 6G Vehicular Aided HetNets: Key Opportunities and Challenges
We present an overview of enabling technologies for ISRE-based 6G vehicular aided HetNets.
Opportunities for Intelligent Reflecting Surfaces in 6G-Empowered V2X Communications
This paper first describes the introduction of 6G-empowered V2X communications and IRS technology.
Rate Splitting Multiple Access for Cognitive Radio GEO-LEO Co-Existing Satellite Networks
We also propose two suboptimal schemes with fixed power allocation and random subcarrier beam assignment as the benchmark.
LSTM-Based Distributed Conditional Generative Adversarial Network For Data-Driven 5G-Enabled Maritime UAV Communications
Secondly, to enhance the applications for the proposed trained channel model for the spatial domain, we have designed an LSTM-DCGAN based UAV network, where each one will learn mmWave CSI for all the distributions.
Integration of NOMA with Reflecting Intelligent Surfaces: A Multi-cell Optimization with SIC Decoding Errors
Reflecting intelligent surfaces (RIS) has gained significant attention due to its high energy and spectral efficiency in next-generation wireless networks.
Opportunities for Physical Layer Security in UAV Communication Enhanced with Intelligent Reflective Surfaces
Unmanned Aerial Vehicles (UAVs) are an important component of next-generation wireless networks that can assist in high data rate communications and provide enhanced coverage. Their high mobility and aerial nature offer deployment flexibility and low-cost infrastructure support to existing cellular networks and provide many applications that rely on mobile wireless communications.
Energy-Efficient IRS-Aided NOMA Beamforming for 6G Wireless Communications
This manuscript presents an energy-efficient alternating optimization framework based on intelligent reflective surfaces (IRS) aided non-orthogonal multiple access beamforming (NOMA-BF) system for 6G wireless communications.
NOMA-enabled Backscatter Communications for Green Transportation in Automotive-Industry 5.0
We discuss different use cases of backscatter communications in NOMA-enabled 6G vehicular networks.
Backscatter-Aided NOMA V2X Communication under Channel Estimation Errors
Then the RSUs transmit the superimposed signal to their serving vehicles in the second time slot exploiting decode and forward protocol.
Energy Efficiency Optimization for Backscatter Enhanced NOMA Cooperative V2X Communications under Imperfect CSI
Automotive-Industry 5. 0 will use beyond fifth-generation (B5G) technologies to provide robust, computationally intelligent, and energy-efficient data sharing among various onboard sensors, vehicles, and other devices.
When RIS Meets GEO Satellite Communications: A New Sustainable Optimization Framework in 6G
To enhance the effective gain, the signal delivery from satellite to the ground mobile terminal is also assisted by RIS which smartly shift the phase of the signal towards ground terminal.
Joint Optimization for Secure Ambient Backscatter Communication in NOMA-enabled IoT Networks
Non-orthogonal multiple access (NOMA) has emerged as a novel air interface technology for massive connectivity in sixth-generation (6G) era.
Federated learning and next generation wireless communications: A survey on bidirectional relationship
Thus, a `bidirectional' relationship exists between FL and wireless communications.
Backscatter Sensors Communication for 6G Low-powered NOMA-enabled IoT Networks under Imperfect SIC
In this paper, we introduce a BSC in multi-cell IoT network, where a source in each cell transmits superimposed signal to its associated IoT devices using NOMA.
Integration of Backscatter Communication with Multi-cell NOMA: A Spectral Efficiency Optimization under Imperfect SIC
This paper proposes a new optimization approach to enhance the spectral efficiency of nonorthogonal multiple access (NOMA)-BC network.
Energy-Efficient Backscatter Aided Uplink NOMA Roadside Sensor Communications under Channel Estimation Errors
In the second stage, AOBWS uses a non-iterative algorithm that provides a closed-form expression for the computation of optimal reflection coefficient for roadside sensors under their quality of service (QoS) and a circuit power constraint.
Efficient Power-Splitting and Resource Allocation for Cellular V2X Communications
This article aims to further push the state-of-the-art of cellular V2X communications by providing an optimization framework for wireless charging, power allocation, and resource block assignment.
