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Article
Engineering, Civil
Yuan Tang et al.
Summary: With the commercialization of 5G and the beginning of the exploration of 6G, the global industry is looking to transform the service of mobile communication technology. The proposed 6G Semantic Communication Scheme based on Intelligent Fabrics for transportation in-cabin scenarios (6GSCS-IF) and the Deep Learning-based Semantic Communication Model for Time-series data (DL-SCMT) demonstrate the potential of intelligent fabrics and deep learning in achieving intelligent sensory interaction and providing better communication services compared to traditional methods.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Information Systems
Ali Etemadi et al.
Summary: This paper introduces a general framework for molecular communication-based abnormality detection and localization, including multiple tiers for abnormality detection and communication between different agents. It also discusses different abnormality recognition methods, functional units of sensors, and interfaces required for signal conversion. Furthermore, a unified channel model, categorization of abnormality detection schemes, and classification of localization approaches are presented.
Article
Computer Science, Information Systems
Zhiqing Wei et al.
Summary: This article systematically reviews the literature on ISAC signals from the perspective of mobile communication systems, including signal design, signal processing, and signal optimization. The design of ISAC signals based on 5G, 5G-A, and 6G mobile communication systems is first reviewed. Then, radar signal processing methods for ISAC signals are discussed, including the channel information matrix method, spectrum lines estimator method, and super-resolution method. Signal optimization techniques such as peak-to-average power ratio (PAPR) optimization, interference management, and adaptive signal optimization for ISAC signals are also summarized. This article provides guidelines for the research of ISAC signals in 5G-A and 6G mobile communication systems.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Tao Yu et al.
Summary: In this article, a novel energy efficiency metric called integrated relative EE (IREE) is proposed, which can jointly measure the traffic profiles and network capacities from the perspective of energy efficiency. The traditional EE metric fails to capture the variations in traffic and capacity of next-generation wireless networks. Through analytical and numerical results, it is shown that the proposed IREE metric is able to capture the wireless traffic and capacity mismatch property, which is significantly different from the conventional EE metric. The IREE-oriented design or deployment strategy can be considered as a useful guidance for future energy-efficient network design.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Negin Sadat Saatchi et al.
Summary: In this letter, a method is proposed to jointly design the available reliability and latency mechanisms in 5G NR, aiming to maximize the probability of successful data delivery subject to a strict latency constraint. The method optimally selects numerology, mini-slot size, and modulation and coding scheme for each transmission/retransmission attempt based on channel quality and remaining latency budget. By applying model-based reinforcement learning technique, the optimal policy for this sequential decision-making problem is obtained and a finite-step MDP problem is formulated and solved. Through selected numerical examples, considerable performance gain over conventional scheme is achieved by the proposed joint design.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2023)
Article
Computer Science, Information Systems
Muchen Tian et al.
Summary: With the improvement of vehicle's sensing and computing power, beam selection solutions based on deep learning (DL) and sensor data have gained attention in vehicle-to-infrastructure (V2I) scenarios. However, the existing DL-based solutions provide a single global model for all vehicles, which may not be suitable for vehicles with different data distributions. In this letter, a personalized beam selection solution is proposed, where each user has a tailored model. A mask-based pre-training and fine-tuning algorithm is also proposed to achieve the personalization. Simulation results show that the personalized solution outperforms the conventional baselines.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2023)
Article
Computer Science, Information Systems
Yongcheng Liu et al.
Summary: This letter proposes a deep learning aided two-stage multi-finger beam training algorithm (DL-TSMBT) for beam alignment in millimeter-wave communications. The algorithm utilizes a coarse scanning strategy to gather initial measurements, which are then processed by a customized convolutional neural network for feature extraction and beam selection. Experimental results demonstrate the effectiveness of DL-TSMBT, outperforming traditional beam training methods and a data-driven wide-beam training baseline in terms of misalignment probability and achievable spectrum efficiency.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2023)
Article
Computer Science, Information Systems
Xinzhou Li et al.
Summary: This paper proposes a multi-agent D2D communication resource allocation algorithm based on Advantage Actor Critic (A2C) to address the interference and performance degradation issues in D2D communication networks. Simulation results show that compared to DQN and MAAC, the average throughput of the system is improved by 26% and 12.5% respectively.
Article
Telecommunications
Jiaqi Zou et al.
Summary: Unmanned aerial vehicles (UAVs) have shown exceptional capabilities in various applications such as vehicle tracking and military monitoring. This paper focuses on the beamforming algorithm for UAV-to-vehicle communications. A vision-assisted beamforming framework is proposed, utilizing the UAV's vision functionality for vehicle detection and tracking, combined with a lightweight beamforming algorithm to save communication overhead. Experimental validation on the UAVDT dataset demonstrates significant performance gains in effective achievable rates and energy efficiency.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2023)
Article
Telecommunications
Mateen Ashraf et al.
Summary: This paper studies a dual functional radar communication (DFRC) system with multiple communication users (CUs) and a radar target. The goal is to optimize the beamforming vectors at the transmitter to enhance radar performance while satisfying the data rate requirements of CUs. Efficient algorithms based on convex optimization techniques are proposed to solve the formulated non-convex optimization problems. The results show that separate probing signals for radar detection are not needed in both clutter scenarios, reducing the complexity of the algorithm.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2023)
Article
Telecommunications
Bo Zhao et al.
Summary: In this study, an integrated sensing and communication (ISAC) aided dynamic resource allocation is proposed for random access (RA) in Internet-of-Things (IoT) oriented satellite terrestrial relay networks (STRNs). The proposed ISAC aided RA architecture consists of sensing phase and RA phase, where relays sense the number of active users and assist RA accordingly. The active users are grouped into orthogonal clusters in the spectrum domain. A dynamic resource allocation optimization problem is solved to allocate bandwidth to each cluster based on the number of intra-cluster active users, ensuring optimal uplink RA and maximum system throughput.
IEEE COMMUNICATIONS LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Efstathios Andrianopoulos et al.
Summary: In this study, we demonstrate the application of optoelectronic technology in sub-THz communication systems, achieving a real-time sub-THz wireless link using a PIN-PD-based THz emitter and a THz receiver based on an ultra-fast photoconductor. The generation and detection of the information signal are performed by a commercially available mmWave platform at 1.6 GBaud. The evaluation of our setup includes a homodyne scenario and a heterodyne scheme, both achieving error-free operation at a bit rate of 3.2 Gb/s over a 1 m free-space distance.
IEEE PHOTONICS TECHNOLOGY LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Jia-Jing Kao et al.
Summary: This article presents a novel wireless power transmission scheme that incorporates both relay transmission and magnetic field data communication. A resonant inverter with pulsewidth modulation is used to induce longer distance alternating current for power transmission. For data transmission, a magnetic field communication system based on impedance changes and not reliant on extra radio frequency links is realized. Experimental prototype tests verify simultaneous transmission of power and data in compliance with SAE TIR J2954 specifications.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Radhika Gour et al.
Summary: This paper proposes an energy-efficient resource allocation scheme for joint uplink/downlink D2D communications. The scheme aims to optimize the total energy efficiency of D2D pairs while satisfying quality of service requirements and staying within power budgets. The proposed iterative scheme achieves significant performance improvement over other schemes.
PHYSICAL COMMUNICATION
(2023)
Article
Computer Science, Information Systems
Baiping Xiong et al.
Summary: This research develops a novel non-stationary channel model to evaluate the performance of RIS-assisted millimeter wave (mmWave) mobile systems in the presence of alternately disappearing and reappearing line-of-sight (LoS) path. Based on this channel model, a transmission mode switch scheme is developed at the base station (BS) to select different transmission modes according to the time-varying location of the receiver. Numerical results are provided to validate the accuracy of the analysis.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2023)
Proceedings Paper
Computer Science, Hardware & Architecture
K. B. Devika et al.
Summary: In vehicular platoon operations, reducing the intervehicular spacing can minimize energy consumption by decreasing the aerodynamic drag force. In this study, the impact of DSRC and 5G cellular communication on energy consumption and stability of electric truck platoons was analyzed. The results showed that 5G-based platoon formations, with lower time-headway distances between trucks, achieved platoon stability and reduced energy consumption by approximately 10% and 8.8% per kilometer in dry and wet road conditions, resulting in a range extension of approximately 12.5% and 9.5% respectively.
2023 15TH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS & NETWORKS, COMSNETS
(2023)
Proceedings Paper
Computer Science, Hardware & Architecture
Anutusha Dogra et al.
Summary: The article proposes an efficient technique for optimal resource allocation and delay minimization in 6G networks. It addresses the issue of call drop due to non-availability of resources and introduces Wireless Intelligent Router (WIR) to mitigate network congestion. The simulation results demonstrate that WIR reduces power consumption and minimizes network delay.
2023 15TH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS & NETWORKS, COMSNETS
(2023)
Article
Computer Science, Information Systems
Adeb Salh et al.
Summary: This paper proposes an edge intelligence-aided IoT network to enhance the response time of IoT services. The research focuses on the application of Federated Learning in edge intelligence nodes to optimize energy consumption and meet the learning requirements of IoT devices. By solving the bandwidth optimization problem and using the ADA algorithm, the computation frequency allocation is efficiently optimized and energy consumption is reduced.
Article
Engineering, Electrical & Electronic
Inigo Bilbao et al.
Summary: This article focuses on channel coding in industrial wireless systems and introduces a sparse vector coding approach for short-packet communications. It also includes simulations to analyze the parameters involved in code design and identifies the coding matrix as a critical factor for improving coding performance. The article further provides two new procedures for determining the matrix, which can lead to a gain of up to 2 dB compared to the current state of the art.
IEEE OPEN JOURNAL OF THE INDUSTRIAL ELECTRONICS SOCIETY
(2023)
Article
Computer Science, Information Systems
Vesal Hakami et al.
Summary: In this paper, the problem of D2D resource allocation under unknown channel state information (CSI) is addressed. A network controller based on combinatorial multi-armed bandit (CMAB) is proposed to achieve optimal D2D configuration without CSI. Numerical experiments are conducted to verify the effectiveness of the proposed scheme in D2D relay selection and joint mode selection and channel allocation.
PEER-TO-PEER NETWORKING AND APPLICATIONS
(2022)
Article
Computer Science, Information Systems
Di Zhang et al.
Summary: This paper proposes a game theoretic approach to enable D2D content sharing with multihop communication capabilities. It models a Nash bargaining game and introduces a novel incentive mechanism to stimulate cooperation. Experimental results demonstrate the effectiveness of the approach in dealing with participant selection, routing, and pricing problems.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Article
Engineering, Electrical & Electronic
Adeb Salh et al.
Summary: In this paper, the authors propose a solution to meet the high reliability and low latency requirements of Internet of Things devices using energy efficiency optimization, co-channel interference mitigation, efficient power control, and time-slot exchanges. They employ a Double Deep Q Network and multiagent reinforcement learning to achieve intelligent resource management and prioritize experience replay for maximum rewards.
IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY
(2022)
Article
Computer Science, Information Systems
Mahmoud M. Salim et al.
Summary: Combining energy harvesting and device-to-device communication is a promising approach to improve energy and spectral efficiencies in 5G cellular networks. This paper proposes a two-way relaying model to maximize the D2D link rate and considers the quality of service constraints of all users. The relays can harvest renewable energy from the environment and radio frequency energy from the received signal. By optimizing transmission power and power splitting factor, and selecting the best relay, the paper achieves maximization of link rate and better energy efficiency.
Article
Computer Science, Information Systems
Adeeb Salh et al.
Summary: This paper proposes a novel method for optimizing ultra-reliable and low-latency communications in cellular networks using deep reinforcement learning. The method combines a policy gradient-based actor-critic learning algorithm with a refiner generative adversarial networks (GANs) approach to generate synthetic data with high reliability. The results show that the proposed method can achieve high reliability and low latency with shorter training time.
Article
Computer Science, Information Systems
Pankaj Singh et al.
Summary: This paper proposes a scheme for positioning vehicles on the move based on optical camera communication (OCC) technology. The scheme uses LED streetlights and vehicle cameras as transmitters and receivers respectively, and analyzes visible light data extracted from images to achieve vehicle positioning. Experimental results confirm that the proposed OCC-based VP scheme achieves positioning accuracy of under 1 m.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)
Article
Computer Science, Information Systems
Omnia M. El-Nakhla et al.
Summary: This study investigates a two-way relaying (TWR) device-to-device (D2D) model in the green Internet of Things (IoT) where all devices can harvest renewable energy. By maximizing the data rate while preserving the quality of service, a joint optimization solution based on particle swarm optimization and stable matching is proposed to solve the mixed integer non-linear programming problem.
Article
Computer Science, Information Systems
Abdul Kadi Hamid et al.
Summary: This paper proposes a graph coloring based algorithm to solve the co-channel interference problem in D2D communication. The algorithm reduces interference by using weighted priority and resource reuse, and provides simplified power control. Simulation results show that the proposed algorithm effectively improves system performance.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)
Article
Multidisciplinary Sciences
Pankaj Singh et al.
Summary: This study introduces a method for modulation and multiple access based on DS-OOK for pulse-based communication in the Terahertz band. The unique properties of OOK are utilized for user differentiation, and proper spreading codes play a critical role in enhancing multiple-access performance, even with a large number of interfering users. Coordination between transmitter and receiver is not required for this scheme, making it suitable for both ad hoc and infrastructure-based networks.
NATIONAL ACADEMY SCIENCE LETTERS-INDIA
(2021)
Article
Computer Science, Information Systems
Gang Feng et al.
Summary: The study proposed a new model that combines energy harvesting and D2D communication technology to maximize the network's energy efficiency through joint time allocation and relay selection. By decomposing the problem into two sub-problems of relay selection and time optimization, and using fractional programming theory and optimization iterative algorithm, optimal solutions were obtained.
Article
Telecommunications
Panduranga Ravi Teja et al.
Summary: The study proposes a resource allocation scheme for 5G networks based on a bidding model, aiming to optimize resource allocation between cellular users and device-to-device users through two steps to reduce resource consumption and enhance network throughput.
WIRELESS PERSONAL COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Jiequ Ji et al.
Summary: With the exponential growth of data traffic, the use of caching and device-to-device (D2D) communication has been recognized as an effective approach for mitigating the backhaul bottleneck in unmanned aerial vehicle (UAV)-assisted networks. In this article, we investigate the issue of secure transmission in a cache-enabled UAV-relaying network with D2D communications in the presence of an eavesdropper. Extensive numerical results show that the proposed joint design scheme significantly outperforms other benchmark schemes in terms of the secrecy rate.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Yongjun Xu et al.
Summary: The article addresses the robust EE maximization problem in energy harvesting-based device-to-device communication and UAV-assisted networks, proposing a robust resource allocation algorithm to reduce user outages and improve system robustness. By jointly optimizing radio resource allocation and flight altitude, transforming the non-convex problem into a convex one through variable relaxation and substitution, and deriving closed-form expressions of robust resource allocation using Lagrange dual theory, the effectiveness of the proposed algorithm is demonstrated through simulation results compared to benchmark algorithms in terms of EE and robustness.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Sawsan Selmi et al.
Summary: The integration of multi-hop Device to Device (D2D) underlay the fifth generation (5G) network, providing extended coverage, ultra-low latency, and cost-per-bit communications. This paper focuses on multi-hop D2D defined in 3GPP release 15 and beyond, proposing a distributed relay selection and resource allocation algorithm based on a mixed strategy game and amplify and forward factor. The efficiency of this approach is evaluated and verified through computer simulations, maximizing joint spectral and energy efficiency.
IET COMMUNICATIONS
(2021)
Article
Chemistry, Analytical
Asmaa Amer et al.
Summary: This paper investigates the interplay between non-orthogonal multiple access (NOMA), device-to-device (D2D) communication, full-duplex (FD) technology, and cooperation networks, proposing a resource allocation problem. A downlink FD cooperative NOMA-based cellular system with underlaying D2D communications is introduced to maximize the system sum rate through optimized channel allocation. An algorithm based on Pareto improvement is used to address the computationally challenging maximization problem.
Article
Telecommunications
Zain Ali et al.
Summary: The combination of Device to device (D2D) systems and Non-orthogonal multiple access (NOMA) can enhance the spectral efficiency of wireless communication networks. In solving the problem of maximizing the total rate, deep neural networks (DNN) show promising results.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2021)
Article
Telecommunications
Daquan Feng et al.
Summary: This paper investigates resource allocation in full-duplex communications scenarios and proposes a power-spectrum trading mechanism that can improve system throughput and energy efficiency.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2021)
Article
Computer Science, Information Systems
Ying He et al.
Summary: In the era of information society and 5G networks, cars serve as crucial mobile information carriers that require vehicular communication to interact with the outside world. The application of D2D communication in V2X can provide high reliability and low latency, but also bring interference issues.
Article
Engineering, Electrical & Electronic
Yiling Yuan et al.
Summary: This paper considers a cooperative device-to-device communication system, proposing a novel resource allocation scheme and a matching game to address the pairing problem between CUs and D2D pairs, achieving spectrum efficiency improvement and performance enhancement through optimal cooperation strategies.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Telecommunications
Amanjot Kaur Lamba et al.
WIRELESS PERSONAL COMMUNICATIONS
(2020)
Article
Engineering, Electrical & Electronic
Radhika Gour et al.
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
(2020)
Article
Computer Science, Hardware & Architecture
Xijian Zhong et al.
IEEE-ACM TRANSACTIONS ON NETWORKING
(2020)
Article
Computer Science, Information Systems
M. V. S. Aditya et al.
Article
Engineering, Electrical & Electronic
Yiliang Liu et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2020)
Article
Engineering, Electrical & Electronic
Miaomiao Liu et al.
IET COMMUNICATIONS
(2020)
Article
Computer Science, Information Systems
Zitian Zhang et al.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2020)
Article
Computer Science, Information Systems
Na Su et al.
Article
Engineering, Electrical & Electronic
Yang Li et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2020)
Article
Engineering, Electrical & Electronic
Xijian Zhong et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2020)
Article
Computer Science, Information Systems
Mahmoud M. Salim et al.
IEEE INTERNET OF THINGS JOURNAL
(2020)
Article
Computer Science, Information Systems
Yanbo Ma et al.
Article
Computer Science, Information Systems
Hongyuan Gao et al.
Article
Telecommunications
Woongsup Lee
IEEE COMMUNICATIONS LETTERS
(2018)
