Article
Engineering, Electrical & Electronic
Yaqian Zhang, Junyu Liu, Min Sheng, Yan Shi, Jiandong Li
Summary: In this study, the performance of small cell networks with wireless backhaul in terms of network spatial throughput is comprehensively investigated. It is found that over-provision of backhaul can lead to degradation of network performance, and a joint optimization of base station and gateway densities is proposed to improve network spatial throughput.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Computer Science, Hardware & Architecture
Junkai Zhang, Navneet Garg, Mark Holm, Tharmalingam Ratnarajah
Summary: This article introduces a key technology for future cellular networks - full duplex millimeter-wave integrated access and backhaul networks, discussing methods to mitigate the impact of self-interference to improve spectral efficiency.
IEEE WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Claudio Paoloni
Summary: In order for the future 5G and 6G technologies to be successful, a ubiquitous data source is needed to increase the area capacity of the wireless distribution layer.
IEEE COMMUNICATIONS MAGAZINE
(2021)
Article
Engineering, Electrical & Electronic
Sidharth Sharma, Abhiram Singh, Ashwin Gumaste, Biswanath Mukherjee
Summary: 5G technology promises revolutionary bandwidth capabilities and optical solutions are proposed as the best fit to meet the network requirements. Light-trails offer dynamic bandwidth communication, sub-wavelength optical grooming, and optical layer multicasting, making them a suitable solution for 5G backhaul needs.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2021)
Article
Telecommunications
L. Manjunath, N. Prabakaran
Summary: The paper introduces a hybrid communication framework using cache-enabled technology, heuristic search models, and cluster head selection to address interference issues and maximize throughput rate and energy savings. The effectiveness of the framework is validated through simulation analysis.
WIRELESS PERSONAL COMMUNICATIONS
(2022)
Article
Computer Science, Hardware & Architecture
Yuchen Liu, Douglas M. Blough
Summary: This paper investigates the application of mmWave communication in wireless backhaul and introduces a more robust topology to address frequent communication outages. By introducing four blockage models and stochastic geometry, mechanisms for tolerating blockages are proposed and evaluated through extensive simulations.
Article
Engineering, Electrical & Electronic
Varun Amar Reddy, Gordon L. Stuber, Suhail Al-Dharrab, Wessam Mesbah, Ali Hussein Muqaibel
Summary: A novel wireless network architecture compliant with the IEEE 802.11ad standard is proposed for establishing scalable, energy-efficient, and gigabit-rate backhaul across large areas, meeting the needs of surveying applications such as seismic data acquisition.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Telecommunications
Sara Khosravi, Hossein Shokri-Ghadikolaei, Marina Petrova
Summary: This article presents a method that jointly addresses the problems of beamforming and handover in mmWave communication, achieving nearly constant rate and reliability by using a small number of pilots and a learning-based approach for mobile scenarios.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2021)
Article
Computer Science, Information Systems
Abhishek Sinha, Eytan Modiano
Summary: The study focuses on efficient packet dissemination in wireless networks, proposing a dynamic policy that achieves network broadcast capacity through transforming the network, finding optimal policies, and using sample-path arguments for verification. Additionally, the study proves the NP-completeness of finite-horizon broadcasting problem and demonstrates the efficacy of the proposed broadcast policy in achieving full broadcast capacity with low delay through illustrative simulation results.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2021)
Article
Computer Science, Information Systems
Berke Tezergil, Ertan Onur
Summary: Wireless backhaul is expected to play an important role in 5G networks with the introduction of new technologies such as UAV, HAPS, mmWave frequencies, mMIMO, and beamforming. It overcomes the performance limitations compared to fiber backhauling and becomes mandatory for the densification of networks. However, challenges in resource allocation, deployment, scheduling, power management, and energy efficiency still need to be tackled. Wireless backhaul enables new technologies like rural connectivity, satellite communication, and mobile edge computing. Security challenges arise with small cell usage and standardization efforts are being made for the IAB concept. Wireless backhaul is projected to be important in beyond 5G networks, as seen with concepts like cell-free networking, ultramassive MIMO, and extremely dense network.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2022)
Article
Computer Science, Information Systems
Randy Verdecia-Pena, Rodolfo Oliveira, Jose I. Alonso
Summary: In this paper, we propose a hardware implementation for the out-of-band Integrated Access and Backhaul (IAB) network, which is a solution for coverage extension and capacity boosting in 5G and beyond networks. We design and develop an easy-to-use out-of-band mmWave Layer 2 protocol using an Ettus x310 SDR board, Pasternack's 60 GHz Transmitter (Tx) waveguide module, and Matlab software. The proposed protocol decodes a FR1 5G signal as input at 3.5 GHz and retransmits it to the UE as a FR2 5G signal at 60 GHz. Experimental results show that the proposed Layer 2 protocol performs similarly to off-the-shelf equipment and achieves the best performance when the PNC algorithm is used in the IAB architecture.
Editorial Material
Engineering, Electrical & Electronic
Sergey Andreev, Ngoc Dung Dao, Prasant Misra
Summary: Holographic communication is a holistic way to manipulate the electromagnetic field with unprecedented flexibility, especially useful for high-frequency communication with large antennas. It opens up new opportunities for communication channels when exploiting spherical wave propagation in the near-field region.
IEEE COMMUNICATIONS MAGAZINE
(2021)
Article
Engineering, Electrical & Electronic
Zhuojia Gu, Hancheng Lu, Ming Zhang, Haizhou Sun, Chang Wen Chen
Summary: Limited backhaul bandwidth and blockage effects hinder the practical deployment of mmWave networks. This study investigates the feasibility of relaying and caching in mmWave networks. By analyzing the relationship between user association and caching placement probabilities, the study proposes a new criterion for user association and relaying. Experiment results show that deploying more relay nodes and increasing cache size lead to a more cost-effective backhaul offloading performance compared to increasing base station density.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Chemistry, Analytical
Masab Iqbal, Luis Velasco, Marc Ruiz, Nelson Costa, Antonio Napoli, Joao Pedro, Jaume Comellas
Summary: New 5G and beyond services require innovative solutions in optical transport to improve efficiency, flexibility, and cost-effectiveness. Optical point-to-multipoint (P2MP) connectivity is proposed as an alternative to reduce capital and operational expenditures. This paper introduces optical constellation slicing (OCS) as a technology that enables efficient communication between source and multiple destinations. Simulation results show that OCS and digital subcarrier multiplexing (DSCM) provide good performance in terms of BER. A quantitative study demonstrates that OCS and DSCM offer better efficiency and cost savings compared to traditional optical P2P connectivity.
Article
Engineering, Electrical & Electronic
Dave Welch, Antonio Napoli, Johan Back, Warren Sande, Joao Pedro, Fady Masoud, Chris Fludger, Thomas Duthel, Han Sun, Steven J. Hand, Ting-Kuang Chiang, Aaron Chase, Atul Mathur, Tobias A. Eriksson, Mats Plantare, Magnus Olson, Stefan Voll, Kuang-Tsan Wu
Summary: A paradigm shift in optical communication networks is proposed with the introduction of a new ecosystem of devices, transforming current point-to-point optical networks into flexible, scalable, and cost-effective point-to-multipoint networks. Interoperability across transceivers operating at different speeds is achieved using digitally generated subcarriers, leading to significant cost savings and network simplification.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2021)
Article
Thermodynamics
Shuohan Liu, Yue Cao, Qiang Ni, Lexi Xu, Yongdong Zhu, Xin Zhang
Summary: Due to the increasing greenhouse effect, reducing greenhouse gas emissions has become more important. Electric Vehicles (EVs) are seen as the future mainstream transportation due to their lower carbon footprint. However, current charging modes cannot meet the increasing demands, thus a hybrid charging management scheme is proposed to ensure the Quality of Experience (QoE) by combining stable plug-in charging and flexible V2V charging. Charging cost is optimized by considering price, waiting time, and energy, and charging selection is optimized through charging reservation with accurate information. Simulation results demonstrate that the proposed scheme effectively utilizes both charging modes and improves QoE for EV charging.
Article
Computer Science, Information Systems
Shuohan Liu, Qiang Ni, Yue Cao, Jixing Cui, Daxin Tian, Yuan Zhuang
Summary: This article proposes a flexible vehicle-to-vehicle (V2V) charging mode that uses parking lots as shared places for charging electric vehicles. The article introduces a V2V charging management scheme, which includes a distance-based V2V-Pair matching algorithm and a parking lot selection scheme. The article also incorporates charging reservation and parking duration to optimize the charging efficiency under time constraints. The simulation results show that the proposed V2V charging scheme achieves high charging efficiency.
IEEE SYSTEMS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Zheng Zhang, Zhaolin Wang, Yuanwei Liu, Bingtao He, Lu Lv, Jian Chen
Summary: This study investigates the secure transmission of the simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) aided communication system. A new secure beamforming design is proposed to address the unique full-space mutual eavesdropping in STAR-RIS aided communications, considering the coupled phase shifts of STAR-RISs and the fair secrecy requirement of users. Numerical results show that the proposed scheme achieves higher secrecy capacity than conventional RIS and 4-bit discrete phase shifters are sufficient for secrecy guarantee.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Zeqi Lai, Hewu Li, Qian Wu, Qiang Ni, Mingyang Lv, Jihao Li, Jianping Wu, Jun Liu, Yuanjie Li
Summary: Futuristic 6G technologies will incorporate emerging LEO megaconstellations into terrestrial networks, offering ubiquitous, low-latency, and high-throughput network services. However, the unique characteristics of satellites, such as high dynamics and error-prone operational environments, pose significant challenges in harnessing the potential of megaconstellations and fulfilling the aforementioned promises.
IEEE VEHICULAR TECHNOLOGY MAGAZINE
(2023)
Article
Computer Science, Information Systems
Wentao Liu, Xiaolong Xu, Dejuan Li, Lianyong Qi, Fei Dai, Wanchun Dou, Qiang Ni
Summary: This article proposes a privacy-preserving federated learning scheme with robust aggregation in edge computing, called FL-RAEC. The scheme constructs a hybrid privacy-preserving mechanism to protect the integrity and privacy of data uploaded by edge servers (ESs). It also introduces a phased aggregation strategy to achieve robust model aggregation. Anomaly detection based on autoencoder and multiple rounds of random verification are used to assess the trust score of each ES and identify malicious participants.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Telecommunications
Runyi Zhao, Yuhan Ruan, Yongzhao Li, Tao Li, Rui Zhang
Summary: In this paper, we propose a Consistency Constrained Dual Generative Adversarial Network (CCD-GAN) to address the domain adaptation problem in practical spectrum sensing scenarios. By introducing consistency constraints and combining with retraining a lightweight detector and transfer learning, the proposed method achieves multi-level feature alignment in the time-frequency localization (TFL) task and shows improvement in generalization ability and convergence speed.
IEEE COMMUNICATIONS LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Lianyong Qi, Xiaolong Xu, Xiaotong Wu, Qiang Ni, Yuan Yuan, Xuyun Zhang
Summary: This paper investigates the opportunities and challenges of mobile video streaming services in the sixth generation (6G) network using digital twin technology and cloud-centric architecture. The authors propose a solution using crowdsourcing to attract mobile users to follow a specified path and share network resources, alleviating the problem of increasing traffic demands. They present algorithms for user recruitment optimization and evaluate the system performance through extensive experiments.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Dawei Nie, Wenjuan Yu, Qiang Ni, Haris Pervaiz, Geyong Min
Summary: This paper proposes a cluster-based cooperative sensing-after-prediction scheme to simplify the complex physical sensing process and reduce energy consumption and the number of users, through cooperative prediction and optimization.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Mengqi Yang, Jian Chen, Zhiguo Ding, Lu Lv, Naofal Al-Dhahir, Long Yang
Summary: This paper investigates opportunistic user pair scheduling and joint power allocation and decoding order selection to enhance the outage performance of downlink non-orthogonal multiple access (NOMA) systems. Unlike existing literature, the impact of both channel conditions and users' target rates is considered, and a two-stage rate-aware scheme is proposed to achieve the minimum system outage probability and fair access opportunities. Simulation results confirm the effectiveness of the proposed scheme.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Abdullah Alharthi, Qiang Ni, Richard Jiang, Mohammad Ayoub Khan
Summary: Vehicular ad hoc networks (VANETs) have the potential to enhance road safety, traffic efficiency, and passenger comfort. However, trust, data precision, and reliability remain major challenges. In this study, a methodology using blockchain and ensemble learning is proposed to compute vehicle reputations and predict trustworthiness, achieving significantly improved accuracy rates.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Kexin Li, Xingwei Wang, Qiang He, Qiang Ni, Mingzhou Yang, Schahram Dustdar
Summary: This article introduces a new computational offloading decision framework that minimizes the long-term payment of computational tasks with mixed bound constraints. It addresses the issue of tasks exceeding soft constraints and improves learning efficiency and convergence speed through the elimination of redundant experiences and optimal transitions.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Proceedings Paper
Green & Sustainable Science & Technology
Abdullah Alharthi, Qiang Ni, Richard Jiang, Mohammad Ayoub Khan
Summary: VANET is a vehicle-assisted network that plays a key role in Intelligent Transportation Systems. It has safety and non-safety applications, but lacks a method to assess the behavior of certified vehicles. This study proposes a framework based on spatial, temporal, and behavioral parameters to compute the trust of vehicles.
SMART TECHNOLOGIES IN URBAN ENGINEERING, STUE-2022
(2023)
Article
Computer Science, Hardware & Architecture
Arash Bozorgchenani, Charilaos C. Zarakovitis, Su Fong Chien, Tiew On Ting, Qiang Ni, Wissam Mallouli
Summary: The rapid growth of 5G technology presents new challenges for cybersecurity, particularly in ensuring the effectiveness of intrusion detection mechanisms (IDMs) and optimizing cybersecurity levels. This research focuses on pre-deployed distributed security agents (SAs) in the network, each capable of running different IDMs with varying security and quality of service (QoS) costs. By formulating a joint security and QoS utility function, the study identifies optimal elasticity parameters that strike a balance between cybersecurity and QoS overhead. Simulation results demonstrate the importance of different parameters in achieving this balance.
Article
Computer Science, Information Systems
Jin Wang, Jia Hu, Geyong Min, Qiang Ni, Tarek El-Ghazawi
Summary: The research proposes a novel learning-driven method with a user-centric approach to address service migration in dynamic MEC environments. By modeling the problem as a Partially Observable Markov Decision Process (POMDP), a new encoder network combining LSTM and an embedding matrix is designed for effective information extraction, and a tailored off-policy actor-critic algorithm is proposed for efficient training.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
