5G Wireless Networks Research Articles

Overview of RIS-enabled secure transmission in 6G wireless networks

As the 6th-Generation (6G) wireless communication networks evolve, privacy concerns are expected due to the transmission of vast amounts of security-sensitive private information. In this context, a Reconfigurable Intelligent Surface (RIS) emerges as a promising technology capable of enhancing transmission efficiency and strengthening information security. This study demonstrates how RISs can play a crucial role in making 6G networks more secure against eavesdropping attacks. We discuss the fundamentals and standardization aspects of RISs, along with an in-depth analysis of Physical-Layer Security (PLS). Our discussion centers on PLS design using RIS, highlighting aspects including beamforming, resource allocation, artificial noise, and cooperative communications. We also identify the research issues, propose potential solutions, and explore future perspectives. Finally, numerical results are provided to support our discussions and demonstrate the enhanced security enabled by RIS.

Multiple Access Integrated Adaptive Finite Blocklength for Ultra-Low Delay in 6G Wireless Networks

Multiple Access Integrated Adaptive Finite Blocklength for Ultra-Low Delay in 6G Wireless Networks

Camouflaging Electromagnetic Networks as Techno-Habitats for Humans, Plants, Animals, and Machines

Abstract “Digitalization is coming” is the mantra of our society. In recent decades, the environment has been transformed into a high-frequency electromagnetic field by the increasing number of antennas. At present, the roll-out of the new generation of 5G wireless networks means that urban spaces will be littered with thousands of new antennas, invisibly hidden in all sorts of housings such as street lamps, advertising pillars, and neon signs. This development is not stopping at the countryside either. This essay uses media theory and examples from art and technology to speculate on how the changes in urban space and atmosphere can be understood, but also why 5G is a perfect case for techno-criticism and conspiracy theories alike. The waves of wireless networks are spreading to reach even the smallest niches, driven by mobile telephony and wireless Internet. In the future, the environment in which we are immersed and which pervades us will always be an electric field flowing through us. Like any other radio network, 5G is invisible and abstract, and no one can see the artificially generated high-frequency radiation. At the same time, almost all of us have a sensor in our pocket with our mobile phone, telling us where the network is and how strong the radiation is.

Security and Privacy of 6G Wireless Communication using Fog Computing and Multi-Access Edge Computing

The challenges surrounding the confidentiality of data transmission in the context of the upcoming sixth-generation (6G) wireless networks are proposed in this research. The study explores the potential role of blockchain systems in enhancing data security. It examines the integration of machine learning (ML) techniques to address the growing complexities of handling massive data volumes within the 6G environment. This research involves a comprehensive survey of existing strategies for maintaining data confidentiality in automotive communication systems. It further investigates an analysis of confidentiality approaches inspired by the 6G network architecture. The study examines the potential security implications of the Internet of Everything (IoE). It evaluates current research issues related to safeguarding data confidentiality within the framework of 6G communication among vehicles. The exploration involves reviewing ML techniques and their applicability in resolving the data processing challenges inherent in the 6G wireless network environment. The proposed work reveals the increasing complexity and variability of the 6G wireless network environment, leading to potential challenges in protecting private and confidential data during communication. It highlights the promising role of blockchain systems in addressing data security concerns within the 6G network context. Additionally, the study underscores the transformative potential of integrating ML techniques to handle the massive data volumes generated within the 6G ecosystem. The research highlights the importance of these technologies in mitigating data security risks and ensuring the confidentiality of information exchanged within the 6G communication framework.

DHT-based GFDM and STC-GFDM systems for beyond 5G wireless networks

This manuscript endeavours an exploration of Generalized Frequency Division Multiplexing (GFDM) as a promising alternative to the Orthogonal Frequency Division Multiplexing (OFDM) in next-generation cellular networks. GFDM’s exceptional performance in minimizing out-of-band emissions (OOBE) and maximizing spectral efficiency (SE) makes it a compelling candidate, especially when integrated with Multi-Input Multi-Output (MIMO) technology to enhance reliability through spatial diversity. However, ensuring GFDM’s resilience against frequency-selective channels (FSCs), especially in low-latency scenarios, is crucial.This research investigates Discrete Hartley Transform (DHT) based GFDM and Space-Time Coded GFDM (STC-GFDM) systems, proposing a comprehensive framework to enhance performance metrics such as Bit Error Rate (BER) and Achievable Rate (AR). Further enhancements are achieved through a Minimum BER-Power Allocation (MBER-PA) strategy, optimizing BER and AR in QAM-based GFDM and STC-GFDM systems employing a DHT precoding scheme. Analytical expressions for BER and AR are derived and validated via Monte Carlo simulations. Additionally, a comparative analysis against traditional GFDM systems is conducted, evaluating metrics including Peak-to-Average Power Ratio (PAPR), BER, and AR.

An improved path loss model for 5G wireless networks in an enclosed hallway

An improved path loss model for 5G wireless networks in an enclosed hallway

Performance Optimization for 5GWireless Network

Fifth Generation (5th G) wireless network is a challengeable research area. As it is intended to serve growing number of subscribers, and to handle various types of data. Therefore, the need for more number of channels and higher performance is increasing. In this paper, we focus on the adopted modulation scheme by 5th G (256 QAM), where the signals set have been arranged among the constellation diagram in order to reach minimum Bit Error Rate (BER) using Gradient Search Method [1]. The novelty of this study comes from adding permutation loop, which is applied on the resulting signals set of Gradient Algorithm, in order to achieve better performance (lower BER).The results show that acceptable BER under given Signal to Noise Ratio (SNR) could be reached with the relatively large amount of data that is required by this digital modulation scheme.

Low-Complexity Resource Allocation for Uplink RSMA in Future 6G Wireless Networks

Low-Complexity Resource Allocation for Uplink RSMA in Future 6G Wireless Networks

Resource allocation algorithm for 5G and B5G D2D underlay wireless cellular networks

Resource allocation algorithm for 5G and B5G D2D underlay wireless cellular networks

Identification of the Yield Rate by a Hybrid Fuzzy Control PID-Based Four-Stage Model: A Case Study of Optical Filter Industry

With the vigorous development of emerging technology and the advent of the Internet generation, high-speed Internet and fast transmission 5G wireless networks contribute to interpersonal communication. Now, the Internet has become popular and widely available, and human life is inseparable from various experiences on the Internet. Many base stations and data centers have been established to convert and switch from electrical transmission to optical transmission; thus, it is entering the new era of optical fiber networks and optical communication technologies. For optical communication, the manufacturing of components for the purpose of high-speed networks is a key process, and the requirement for the stability of its production conditions is very strict. In particular, product yields are always low due to the restriction of high-precision specifications associated with the limitations of too many factors. Given these reasons, this study proposes a hybrid fuzzy control-based model for industry data applications to organize advanced techniques of box-and-whisker plot method, association rule, and decision trees to find out the determinants that affect the yield rate of products and then use the fuzzy control Proportional-Integral-Derivative (PID) method to manage the determinants. Since it is unrealistic to test the real machine online operation at the manufacturing stage, the simulation software supersedes this for improved results, and a mathematical neural network is used to verify the given data to confirm whether its result is similar to that of the simulation. The study suggests that excessive temperature differentials between substrate and cavity can lead to low yields. It suggests using fuzzy control technology for temperature management, which could increase yield, reduce labor costs, and accelerate the transition to high-speed networks by mass-producing high-precision optical filters.

Unleashing the potential of sixth generation (6G) wireless networks in smart energy grid management: A comprehensive review

As the world continues to seek sustainable and efficient energy solutions, the integration of advanced technologies into smart energy grid management (SEGM) becomes a paramount focus. The advent of Sixth Generation (6G) wireless networks promises to revolutionize the way energy grids are monitored, controlled, and optimized. This review paper explores the potential of 6G wireless networks in the context of SEGM. It discusses the vision and potential techniques that can be harnessed to unlock the full capabilities of 6G networks. The paper delves into the challenges and opportunities presented by 6G technology, addressing issues such as scalability, security, real-time monitoring, and dynamic spectrum access. Moreover, it explores how 6G wireless networks can enable seamless integration with other advanced technologies, such as blockchain and cybertwin, to enhance the resilience and reliability of smart energy grids. The comprehensive review aims to shed light on the transformative role of 6G wireless networks, paving the way for a sustainable and intelligent future in energy grid management.

Smart contract implementation on network sharing for 6G wireless networks

Smart contract implementation on network sharing for 6G wireless networks

A smart contract and IPFS-based framework for secure electric vehicles synchronization at charging station

The growth of electric vehicles (EVs) at a significant pace is a promising solution for reducing harmful greenhouse gas emissions compared to conventional vehicles. Nevertheless, optimal and efficient EV charging management is a serious concern that needs to be solved for the benefit of both charging stations (CSs) and EVs. In this regard, we proposed a smart contract and Interplanetary File System (IPFS)-based secure EV synchronization framework at the CS utilizing a 5G wireless network. Blockchain technology strengthens the security of the EV charging at the CS in a synchronized and coordinated manner. The IPFS and 5G wireless network ensure efficient and reliable EVs synchronization to charge vehicles from the available number of charging points (CPs) at a CS. Furthermore, we have coordinated and synchronized the EV charging, considering various scenarios based on the waiting queue time, energy demand, and EVs (they can arrive in an emergency). We have shown the implementation interface of the proposed model based on the execution of a smart contract using the Remix Integrated Development Environment (IDE). Moreover, we have performed the security analysis of the smart contract using Echidna fuzzing-based tool to ensure the secure EVs allocation to the corresponding CS. Finally, the performance analysis of the IPFS and smart-based proposed model is evaluated and simulated considering various metrics such as transaction storage cost analysis, computational and communication overhead analysis, utilized cost based on the smart contract functions, and the number of EVs.

Fuzzy Logic for the Improving of Handover Decision and the Adaptive Adjustment of Control Parameters in 5G Wireless Networks

Handover process is one of the most important aspects of mobility management in 5G wireless networks. It becomes a hot topic for researchers because it constitutes a guarantee of communication continuity during the user's movement, in addition to being the basic step on which the mobility load balancing process depends to distribute the load between the cells. The focus on this process is whether by providing solutions to improve the handover decision-making, or by modifying the values of the handover control parameters in a way that it guarantees the reduction of handover problems, because the inaccurate or unnecessary modification of these parameters values will cause a degradation in the quality of service. This paper presents a study targeting two mechanisms to improve handover decision-making and selection of handover control parameters adaptively based on different schemes. The first one, based on a learning model called LIM2 and the second one is based on fuzzy logic and is called RHOT-FLC. The results show that the RHOT-FLC mechanism, which relies on fuzzy logic and takes into account the user's velocity provides better performance in term of average throughput, packet drop rate, average HOPP probability, average HO latency, HO failure.

A Hybrid Machine Learning Approach for Improvised QoE in Video Services over 5G Wireless Networks

A Hybrid Machine Learning Approach for Improvised QoE in Video Services over 5G Wireless Networks

Co-Channel Interference Mitigation in 5g Network using Particle Swarm Optimization

The co-channel interference problem in 5G wireless networks is the subject of this research project. Even with the improvements brought forth by 5G, co-channel interference still degrades network speed and signal quality. Particle Swarm Optimization (PSO) is the method used in this study to minimize this interference and improve network performance by fine-tuning resource allocation settings. PSO-based interference mitigation, network modeling, simulation, an overview of the literature, and comparative analysis are all included in the study. The study is valuable for communication engineers since it explores PSO as a means of improving network quality and expanding our knowledge of wireless technology, even though it is restricted to co-channel interference and PSO. In the sphere of 5G wireless communication, this discovery represents a substantial advancement. The application of particle swarm optimization has shown to be innovative in addressing the complex problem of co-channel interference. Insights into the possibilities of clever optimization strategies for interference reduction can be gained from the applied models and results. With 5G networks set to revolutionize the digital environment, these findings provide a strong basis for future research efforts focused at refining interference avoidance techniques and ultimately boosting the performance and dependability of these networks.

Distributed Adaptive Robust Restoration Scheme of Cyber-Physical Active Distribution System With Voltage Control

The increasing penetration of distributed generators (DGs) and the advancement of information and communication technologies (ICTs) will facilitate the transformation of the traditional passive distribution network towards a cyber-physical active distribution system (CPADS). With the increasing risks of extreme events, such as natural disasters (e.g., flooding) and cyber-physical attacks, it is critical for CPADS to formulate a restoration scheme to improve its resilience. Therefore, in this paper, a distributed adaptive robust restoration scheme with voltage/var control is presented to cope with the high-impact but low-frequency events. First, a detailed cyber-physical system model is established, including the dynamic routing and the quality-of-services (QoS) in both optical fiber networks and 5G wireless networks. Then, the interactions between the cyber system and the physical system are analyzed. Based on the cyber-physical system model, a two-stage restoration scheme with voltage/var control is proposed by coordinately scheduling different network assets in day-ahead and in real-time. The formulated problem is solved by adaptive robust optimization (ARO). To further enhance the resilience of the CPADS, a distributed restoration framework is proposed. The distributed problem is solved by the alternating direction method of multipliers (ADMM) algorithm, and the convergence of the discrete problem is ensured by introducing the alternating optimization procedure (AOP). Considering the cyber faults, a boundary variable compensation and residual relaxation mechanism is proposed in ADMM. The proposed framework and methodology are verified in the case study. The convergence and the efficiency of the proposed algorithm are verified. Compared with the state-of-art works, the advantages in load restoration capability of the proposed method are shown.

Massive MIMO for Serving Federated Learning and Non-Federated Learning Users

With its privacy preservation and communication efficiency, federated learning (FL) has emerged as a promising learning framework for beyond 5G wireless networks. It is anticipated that future wireless networks will jointly serve both FL and downlink non-FL user groups in the same time-frequency resource. While in the downlink of each FL iteration, both groups simultaneously receive data from the base station in the same time-frequency resource, the uplink of each FL iteration requires bidirectional communication to support uplink transmission for FL users and downlink transmission for non-FL users. To overcome this challenge, we present half-duplex (HD) and full-duplex (FD) communication schemes to serve both groups. More specifically, we adopt the massive multiple-input multiple-output technology and aim to maximize the minimum effective rate of non-FL users under a quality of service (QoS) latency constraint for FL users. Since the formulated problem is nonconvex, we propose a power control algorithm based on successive convex approximation to find a stationary solution. Numerical results show that the proposed solutions perform significantly better than the considered baselines schemes. Moreover, the FD-based scheme outperforms the HD-based counterpart in scenarios where the self-interference is small or moderate and/or the size of FL model updates is large.

The Role of Game Networking in the Fusion of Physical and Digital Worlds through 6G Wireless Networks

The Role of Game Networking in the Fusion of Physical and Digital Worlds through 6G Wireless Networks

Resource Allocation for Co-Existence of eMBB and URLLC Services in 6G Wireless Networks: A Survey

Resource Allocation for Co-Existence of eMBB and URLLC Services in 6G Wireless Networks: A Survey