Article
Engineering, Electrical & Electronic
Shaoyou Ao, Yong Niu, Zhu Han, Bo Ai, Zhangdui Zhong, Ning Wang, Yuanyuan Qiao
Summary: This paper studies the resource allocation scheme in the RIS-assisted single-cell heterogeneous D2D communication scenario with the goal of maximizing the system sum rate. The resource allocation sub-problem is solved using a coalitional game method, while the power allocation problem and phase conversion problem are solved using the gradient descent method and local search method, respectively. Simulation results demonstrate that the proposed algorithm outperforms other benchmark schemes.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
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
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
Nguyen Dien, Nguyen Tuan, Le T. P. Mai, Nguyen Hieu, Vuong Q. Phuoc, Nguyen Q. N. Quynh, Nguyen T. Hung
Summary: This paper investigates the tolerance of OFDM and Nyquist SCM signals against power amplifier saturation induced clipping in millimeter-wave communications. It is found that Nyquist SCM signals are more tolerant than OFDM signals.
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
Bushra Rashid, Ayaz Ahmad, Sher Ali, Zeeshan Kaleem, Ahmed Alkhayyat, Chau Yuen
Summary: In this paper, the authors investigate energy efficient resource allocation for uplink multi-carrier non orthogonal multiple access (MC-NOMA) based two-tier heterogeneous networks (HetNets) with wireless backhaul. They formulate a joint NU clustering, power, and subchannel allocation problem for system's energy efficiency maximization. The proposed approach exploits channel diversity and guarantees user fairness.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
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
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, Information Systems
Quang-Huy Tran, Tho-Minh Duong, Sungoh Kwon
Summary: This paper proposes a graph-based load balancing algorithm for small-cell integrated access and backhaul (IAB) networks. The algorithm estimates and adapts to network load status to tackle the unbalanced load problem. The simulation results show that the proposed algorithm distributes the load more evenly, increasing network throughput and UE satisfaction.
Article
Computer Science, Information Systems
Qixun Zhang, Wanming Ma, Zhiyong Feng, Zhu Han
Summary: This article proposes a joint traffic load-balancing and interference mitigation framework to maximize the network capacity for 6G cellular IoT services. A novel two-step resource allocation scheme is designed by optimizing the user equipment association and the transmit power allocation. Simulation results prove that the proposed algorithms can significantly improve the network sum rate and the successful transmission probability can be well guaranteed.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Jintao Wang, Xiaohui Zhang, Xu Shi, Jian Song
Summary: In the new 5G era, millimeter wave communications can achieve huge data rate growth and wide bandwidth with a hybrid precoding architecture, effectively optimizing the system's spectral efficiency through the design of digital and analog precoders. The use of index modulation (IM) techniques can further improve spectral efficiency in mmWave systems. Simulation results demonstrate that IM-aided systems outperform traditional mmWave systems, making IM a promising technique for practical SE-driven mmWave systems.
IEEE COMMUNICATIONS MAGAZINE
(2021)
Article
Engineering, Electrical & Electronic
Meghana Bande, Venugopal V. Veeravalli
Summary: The study of the downlink of a two-layered heterogeneous network shows that optimal user degrees of freedom can be achieved through cooperation, while zero-forcing schemes are effective in managing interference, thereby approaching half of the optimal degrees of freedom.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Minwoo Choi, Wonjin Sung
Summary: This paper proposes a new method for generating a set of beamforming vectors for multiple-input multiple-output (MIMO) transmission using limited feedback of the channel state information (CSI). The method autonomously determines the codebook using a deep learning module at the base station, continuously updating it to adapt to different wireless environments.
INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION
(2022)
Article
Engineering, Electrical & Electronic
Wei Wang, Nan Cheng, Yiliang Liu, Haibo Zhou, Xiaodong Lin, Xuemin Shen
Summary: This paper investigates the successful content delivery (SCD) performance in UAV integrated terrestrial cellular networks, showing that optimizing UAV density and height can lead to higher performance.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
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
Computer Science, Artificial Intelligence
LiChao Su, Mengqing Cao, Yue Yu, Jian Chen, XiuZhi Yang, Dapeng Wu
Summary: This paper proposes an in-loop filtering algorithm based on a dynamic convolutional capsule network, which adapt well to local features and improves the efficiency of video coding, and shows outstanding performance in terms of time efficiency.
IET IMAGE PROCESSING
(2023)
Article
Engineering, Electrical & Electronic
Jingxuan Chen, Xianbin Cao, Peng Yang, Meng Xiao, Siqiao Ren, Zhongliang Zhao, Dapeng Oliver Wu
Summary: This paper addresses the resource allocation problem in a multi-UAV-aided uplink communication scenario, aiming to minimize the total system latency and energy consumption while satisfying constraints on transmit power and system latency caused by transmission and computation. The proposed UMAP algorithm optimizes UAV movement, MU association, and MU power control iteratively. Simulation results demonstrate that the UMAP algorithm effectively reduces system latency and energy consumption, and improves coverage rate compared to benchmark algorithms.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Xiaoqiang Zhu, Tie Qiu, Wenyu Qu, Xiaobo Zhou, Mohammed Atiquzzaman, Dapeng Oliver Wu
Summary: This paper presents a novel indoor wireless fingerprint localization algorithm based on a broad learning system, which utilizes channel state information to overcome the problems of data loss, noise interference, and time-consuming offline training. Experimental results show that the algorithm outperforms several machine learning algorithms and existing methods in terms of training time reduction and accuracy.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Computer Science, Artificial Intelligence
Kunpeng Liu, Dongjie Wang, Wan Du, Dapeng Oliver Wu, Yanjie Fu
Summary: In this paper, a single-agent Monte Carlo-based reinforced feature selection method is proposed, along with two efficiency improvement strategies: early stopping strategy and reward-level interactive strategy. The proposed method aims to find the optimal feature subset for a given machine learning task by traversing the feature set and selecting features one by one. Additionally, the early stopping strategy and reward-level interactive strategy are introduced to enhance the training efficiency.
KNOWLEDGE AND INFORMATION SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Panpan Li, Yong Niu, Hao Wu, Zhu Han, Bo Ai, Ning Wang, Zhangdui Zhong
Summary: With the rapid development of high-speed railway systems and railway wireless communication, the application of ultra-wideband millimeter wave band is an inevitable trend. However, the millimeter wave channel has large propagation loss and is easy to be blocked. In this paper, we propose a RIS-assisted scheduling scheme to improve the quality of service (QoS), where an RIS is deployed between the base station (BS) and multiple mobile relays (MRs) to achieve constructive interference and guarantee the channel capacity of eavesdroppers within a controllable range. Extensive simulations demonstrate the superior performance of the proposed scheme over four baseline schemes regarding the number of completed flows and the system secrecy capacity.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Chen Chen, Yong Niu, Bo Ai, Ruisi He, Zhu Han, Zhangdui Zhong, Ning Wang, Xiang Su
Summary: This paper proposes a solution to provide mm-wave communication services in future smart high-speed railway systems using intelligent reflecting surface (IRS) technology. By deploying IRS and designing optimization algorithms, system capacity can be improved, and the issues of communication interruption and frequent handovers caused by high-speed trains and complex environments can be addressed.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Computer Science, Hardware & Architecture
Haojun Huang, Zhaoxi Li, Jialin Tian, Geyong Min, Wang Miao, Dapeng Oliver Wu
Summary: This paper proposes an approach for accurately predicting the required virtual resources using deep reinforcement learning. By leveraging the inherent features hidden in network traffic and consolidating high-dimensional resources into a standardized value, the approach minimizes prediction errors through DRL-based matrix factorization. Experimental results demonstrate the accurate prediction of required virtual resources.
IEEE-ACM TRANSACTIONS ON NETWORKING
(2023)
Article
Computer Science, Artificial Intelligence
Zhenxing Zheng, Gaoyun An, Shan Cao, Dapeng Wu, Qiuqi Ruan
Summary: In this article, a novel collaborative and multilevel feature selection network (FSNet) is proposed for action recognition. FSNet can adaptively aggregate multilevel features into a new informative feature from both position and channel dimensions, enhancing the representational ability of existing networks.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Telecommunications
Lei Wang, Bo Ai, Yong Niu, Zhangdui Zhong, Shiwen Mao, Ning Wang, Zhu Han
Summary: The rapid development of high-speed railways has increased the demand for efficient communication systems. Millimeter wave technology offers a promising solution due to its wide bandwidth, narrow beams, and rich spectrum resources. This study proposes a dynamic power-control scheme for train-ground communications using multiple mobile relays. By optimizing transmit power based on the number of relays and distance to the remote radio head, the scheme aims to minimize energy consumption while meeting data transmission requirements.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2023)
Article
Engineering, Electrical & Electronic
Guiqi Sun, Ruisi He, Yaxin Song, Bo Ai, Shuguang Cui, Yong Niu, Haoxiang Zhang, Zhangfeng Ma, Chau Yuen
Summary: In this article, a three-dimensional one-cylinder model is proposed to investigate the effects of different RIS phases on channel statistical properties. The findings provide guidance for establishing intelligent, safe, and controllable propagation conditions in RIS-aided networks.
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
(2023)
Article
Telecommunications
Zhong Tian, Jing Wang, Zhengchuan Chen, Min Wang, Yunjian Jia, Dapeng O. Wu
Summary: This letter proposes a hybrid deployment scheme of terrestrial and aerial reconfigurable intelligent surfaces (RISs) to overcome line-of-sight (LoS) communication obstruction in dense urban areas. The objective is to maximize the minimum average rate of users in different blind zones by jointly optimizing transmit beamforming at the base station, the reflecting coefficients of RISs, and the height deployment of the aerial RIS. An effective iterative method is proposed to solve the non-convex problem. Numerical simulations demonstrate the effectiveness of joint optimization on the passive beamforming of multi-hierarchical RISs and the height deployment of the aerial RIS, showing clear performance improvement over benchmark schemes.
IEEE COMMUNICATIONS LETTERS
(2023)
Article
Engineering, Civil
Xiangfei Zhang, Yong Niu, Tao Yang, Xian Xiao, Jianwen Ding, Sheng Chen, Zhangdui Zhong, Ning Wang, Bo Ai
Summary: With the development of wireless communication, people have higher requirements for train-ground communications in high-speed railway scenarios. The application of millimeter-wave communication with mobile relays installed on the train can achieve high data rates and meet users' increasing demands for broadband multimedia access.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Yiru Liu, Bo Ai, Yong Niu, Zhu Han, Zhangdui Zhong, Yuanyuan Qiao, Ning Wang, Gordon L. Stuber
Summary: Higher frequency bands, especially millimeter wave (mmWave), are essential for high-speed railway wireless communication. The use of hybrid analog and digital beamforming (HBF) schemes with large scale antenna arrays (LSAs) can overcome the severe path loss. However, due to the straight rail track, the communication rate between the train and the ground varies significantly. To address this issue, a novel non-uniform beam design is proposed for efficient hybrid beamforming in high-speed railway systems.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Shaoyou Ao, Yong Niu, Zhu Han, Bo Ai, Zhangdui Zhong, Ning Wang, Yuanyuan Qiao
Summary: This paper studies the resource allocation scheme in the RIS-assisted single-cell heterogeneous D2D communication scenario with the goal of maximizing the system sum rate. The resource allocation sub-problem is solved using a coalitional game method, while the power allocation problem and phase conversion problem are solved using the gradient descent method and local search method, respectively. Simulation results demonstrate that the proposed algorithm outperforms other benchmark schemes.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Ming-Min Zhao, Kaidi Xu, Yunlong Cai, Yong Niu, Lajos Hanzo
Summary: Reconfigurable intelligent surfaces (RISs) dynamically adjust their reflection coefficients to achieve high passive beamforming gains, enhancing signals or nulling interference. In this study, we propose a RIS-assisted secure simultaneous wireless information and power transfer (SWIPT) system for information and power transfer. By jointly optimizing the transmit beamforming vectors at the base station (BS) and the phase shifts at the RIS, we aim to maximize the average worst-case secrecy rate achieved by the information user (IU). A smooth approximation aided stochastic successive convex approximation (SA-SSCA) algorithm is proposed to tackle the non-convex and non-smooth optimization problem.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
