Joint User Research Articles

Joint User Association and Resource Allocation for Smart-Grid-Powered Wireless Networks Under Constrained Carbon Emission

Joint User Association and Resource Allocation for Smart-Grid-Powered Wireless Networks Under Constrained Carbon Emission

Joint User Association, Interference Cancellation, and Power Control for Multi-IRS Assisted UAV Communications

Joint User Association, Interference Cancellation, and Power Control for Multi-IRS Assisted UAV Communications

Joint User Association and Satellite Selection for Satellite-Terrestrial Integrated Networks

Joint User Association and Satellite Selection for Satellite-Terrestrial Integrated Networks

Joint User Scheduling and Phase Shift Optimization for STAR-RIS-Assisted Multicast Satellite Communications

Joint User Scheduling and Phase Shift Optimization for STAR-RIS-Assisted Multicast Satellite Communications

Outage Performance of MEC Systems With Joint User Scheduling and Access Point Selection

Outage Performance of MEC Systems With Joint User Scheduling and Access Point Selection

Spectrum sharing optimization based on joint user cluster pairing scheme in CRN-NOMA systems

Spectrum sharing optimization based on joint user cluster pairing scheme in CRN-NOMA systems

IRS-Aided Overloaded Multi-Antenna Systems: Joint User Grouping and Resource Allocation

IRS-Aided Overloaded Multi-Antenna Systems: Joint User Grouping and Resource Allocation

Joint User Scheduling, Trajectory, Beamforming and Power Allocation for Millimeter-Wave Full-Duplex UAV Relay

Joint User Scheduling, Trajectory, Beamforming and Power Allocation for Millimeter-Wave Full-Duplex UAV Relay

Joint User Scheduling and Computing Resource Allocation Optimization in Asynchronous Mobile Edge Computing Networks

Joint User Scheduling and Computing Resource Allocation Optimization in Asynchronous Mobile Edge Computing Networks

Joint User Association and Power Control for Cell-Free Massive MIMO

Joint User Association and Power Control for Cell-Free Massive MIMO

Temporally-correlated massive access: joint user activity detection and channel estimation via vector approximate message passing

In the paper, we investigate a massive machine-type communication (mMTC), where numerous single-antenna users communicate with a single-antenna base station while being active. However, the status of user can undergoes multiple transitions between active and inactive states across whole consecutive intervals. Then, we formulate the problem of joint user activity detection and channel estimation within the dynamic compressed sensing (DCS) framework, considering the temporally-correlated user activity across the entire consecutive intervals. To be specific, we introduce a new hybrid vector approximate message passing algorithm for DCS (HyVAMP-DCS). The proposed algorithm comprises a VAMP block for estimating channel and a loopy belief propagation (LBP) block for detecting user activity. Moreover, these two blocks can exchange messages, enhancing the performance of both channel estimation and user activity detection. Importantly, compared to the fragile GAMP algorithm, VAMP is robust and applicable to a much broader class of large random matrices. Furthermore, the fixed points of VAMP’s state evolution align with the replica prediction of the minimum mean-squared error. The simulation results illustrate the superiority of HyVAMP-DCS, demonstrating its significant outperformance over HyGAMP-DCS.

Joint user association, service caching, and task offloading in multi-tier communication/multi-tier edge computing heterogeneous networks

Due to the wide range of intensive computational applications and ubiquitous connectivity of the Internet of Things (IoT) paradigms, it has become crucial to develop a new platform that can achieve low delay, high network throughput, and enhanced quality of service (QoS). This paper proposes a joint user association, service caching, and task offloading strategy to reduce delay and enhance users’ QoS in multi-tier communication and multi-tier edge computing heterogeneous networks (HetNets). The considered system model consists of multi-users with different tasks and service data sizes communicating in a heterogeneous network of one massive multiple-input multiple-output (M-MIMO) macro base station and some small base stations. The proposed work investigates user association, power allocation, optimum service data caching, and task offloading strategies at the computing network edges. Thereby, the objectives of this work are to propose an efficient framework to reduce the system delay, increase the network throughput, and meet the user requirements in multi-tier communication and multi-tier edge computing heterogeneous networks. The simulation results show that the proposed algorithm outperforms the state-of-the-art with a 49.48% decrease in system delay, 80% reduction in cost and hardware complexity in terms of the reduced number of installed antennas, and 48.58% enhancement in the network throughput.

Joint User Association and Beamforming in Integrated Satellite-HAPS-Ground Networks

Joint User Association and Beamforming in Integrated Satellite-HAPS-Ground Networks

Joint User Association, Resource Allocation, and Beamforming in RIS-Assisted Multi-Server MEC Systems

Joint User Association, Resource Allocation, and Beamforming in RIS-Assisted Multi-Server MEC Systems

Network sum-rate maximization for network-coded clustered uplink NOMA networks with SWIPT-enabled relays

This paper considers network sum-rate maximization for network-coded clustered uplink non-orthogonal multiple-access (NOMA) networks with simultaneous wireless information and power transfer (SWIPT)-enabled relays. Specifically, the aim is to perform joint power allocation, power-splitting, and relay selection (J-PA-PS-RS), subject to quality-of-service (QoS) requirements. The formulated problem is excessively computationally-intensive, as it is a non-convex optimization problem. To efficiently solve it, it is split into two sub-problems: (1) joint power allocation and power-splitting per relay, and (2) relay selection. Particularly, a solution procedure is proposed, where the joint user and relay power allocation, and power-splitting per relay sub-problem is solved via a low-complexity iterative three-layer algorithm, and then followed by optimal relay selection. Simulation results have revealed that the proposed solution procedure can efficiently be used to maximize the network sum-rate, achieve near-optimal solutions, and outperform other benchmark schemes, while satisfying QoS constraints.

Joint User Clustering, Beamforming, and Power Allocation for mmWave-NOMA With Imperfect SIC

Joint User Clustering, Beamforming, and Power Allocation for mmWave-NOMA With Imperfect SIC

Joint user grouping and resource allocation scheme based on user satisfaction management for indoor multicolor VLC-NOMA network

Due to the advantages of multicolor, such as wavelength-division multiplexing (WDM), incorporating multicolor into a visible light communication (VLC) network can significantly enhance the performance compared to traditional VLC networks. To mitigate inter-cell interference (ICI) and support multiple users, non-orthogonal multiple access (NOMA) is implemented in the multicolor VLC network to improve network sum-rate and spectrum utilization. In order to ensure the user communication quality, we implement user satisfaction management and consider average user satisfaction while allocating resources. We investigate the problem of multi-cell user grouping and resource allocation in the multicolor VLCNOMA network. Specifically, the joint problem of power allocation (PA), user grouping (UG), and subcarrier allocation (SA) to maximize the sum-rate is formulated as a multi-objective nonlinear integer programming problem. For the PA problem, we propose a dynamic power adjustment-based power allocation (DPAPA) algorithm, guaranteeing the constraint of quality of service (QoS) and successive interference cancellation (SIC). For the UG problem, a communication quality-based user grouping (CQUG) algorithm is proposed. To solve the SA problem, we propose a primary and secondary subcarrier classification-based subcarrier allocation (PSSCSA) algorithm. Finally, a joint user grouping, subcarrier allocation, and power allocation (JUGSAPA) algorithm is designed for iterative optimization. Simulation results show the proposed algorithm can increase the network sum-rate of the multicolor VLCNOMA network and guarantee the average user satisfaction and user fairness.

Joint User Association and Power Control in UAV Network: A Graph Theoretic Approach

Unmanned aerial vehicles (UAVs) have recently been widely employed as effective wireless platforms for aiding users in various situations, particularly in hard-to-reach scenarios like post-disaster relief efforts. This study employs multiple UAVs to cover users in overlapping locations, necessitating the optimization of UAV-user association to maximize the spectral and energy efficiency of the UAV network. Hence, a connected bipartite graph is formed between UAVs and users using graph theory to accomplish this goal. Then, a maximum weighted matching-based maximum flow (MwMaxFlow) optimization approach is proposed to achieve the maximum data rate given users’ demands and the UAVs’ maximum capacities. Additionally, power control is applied using the M-matrix theory to optimize users’ transmit powers and improve their energy efficiency. The proposed strategy is evaluated and compared with other benchmark schemes through numerical simulations. The simulation outcomes indicate that the proposed approach balances spectral efficiency and energy consumption, rendering it suitable for various UAV wireless applications, including emergency response, surveillance, and post-disaster management.

Joint User Selection and Beamforming Design for Multi-IRS Aided Internet-of-Things Networks

Joint User Selection and Beamforming Design for Multi-IRS Aided Internet-of-Things Networks

Joint User Association and BS Operation for Green Communications in Ultra-Dense Heterogeneous Networks

Joint User Association and BS Operation for Green Communications in Ultra-Dense Heterogeneous Networks