Article
Engineering, Electrical & Electronic
Jun Li, Shuping Dang, Yu Huang, Pengxu Chen, Xiaomin Qi, Miaowen Wen, Huseyin Arslan
Summary: In this paper, a composite multiple-mode orthogonal frequency division multiplexing with index modulation (C-MM-OFDM-IM) scheme is proposed to increase the spectral efficiency (SE) of OFDM-IM systems by extending the indexing to the energy and constellation domains. A variant IM scheme named C-MM-OFDM-IM-II is also proposed to further increase the SE of C-MM-OFDM-IM. Upper-bounded bit error rate (BER) and lower-bounded achievable rate are both derived to evaluate the performance of C-MM-OFDM-IM(-II).
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Telecommunications
Huaijin Zhang, Dejin Kong, Yu Xin, Lixia Xiao, Tao Jiang
Summary: The combined application of FB-OFDM and index modulation (IM) (FB-OFDM-IM) is proposed to improve bit error rate (BER) performance. An upper bound of average bit error probability (ABEP) is derived over multipath fading channel and a low-complexity maximum likelihood (ML) detection method is designed at receiver. Simulation results confirm the superiority of the FB-OFDM-IM system in terms of BER performance.
IEEE COMMUNICATIONS LETTERS
(2021)
Article
Engineering, Multidisciplinary
Dong Qin
Summary: This paper investigates the resource scheduling problem in a cooperative cognitive radio network using orthogonal frequency division multiplexing technology. By considering the different priorities of primary and secondary users, the goal is to minimize the symbol error probability for secondary users while ensuring the quality of service for primary users. The joint algorithm of power and subcarrier allocation is analyzed and simulated, demonstrating excellent performance in relay location deployment, convergence analysis, and symbol error probability reduction.
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH
(2022)
Article
Computer Science, Information Systems
Hongyan Zhang, Yue Xiao, Wanbin Tang, Gang Wu, Hong Niu, Xiaotian Zhou
Summary: In this paper, a novel directional modulation scheme with distributed receiver selection (DM-DRS) is proposed for secure wireless communications. Numerical results demonstrate that the scheme can achieve a higher transmission rate compared to traditional methods while ensuring improved Bit Error Rate (BER) performance.
SCIENCE CHINA-INFORMATION SCIENCES
(2021)
Article
Telecommunications
Ferhat Yarkin, Justin P. Coon
Summary: The letter proposes a new modulation concept called index and composition modulation (ICM) which uses active/deactive codeword elements indices and integer compositions to encode information. Implementation of ICM with OFDM shows improved spectral efficiency and error performance compared to existing benchmarks, with an efficient low-complexity detector designed for the technique. Analysis demonstrates the capability of OFDM-ICM to outperform existing OFDM systems in terms of error and spectral efficiency performance.
IEEE COMMUNICATIONS LETTERS
(2021)
Article
Telecommunications
Zixuan Zhang, Fulai Liu, Juan Sheng, Caimei Huang, Baozhu Shi
Summary: This paper proposes an effective index modulation recognition algorithm based on projection residual analysis, which can be applied to various modulation types and identifies the modulation mode of the signal by detecting the sparse structure and conducting a hypothesis test.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2022)
Article
Computer Science, Information Systems
Josep Parron, Edith Cabrera-Hernandez, Alan Tennant
Summary: This study presents a method to evaluate the BER performance of dynamic DM efficiently and accurately for standard modulation schemes, and demonstrates the advantages and limitations of various DDM configurations. The proposed approach is also used to showcase a non-iterative DDM synthesis with restrictions in the BER response.
Article
Computer Science, Information Systems
Jiaojiao Liu, Yuanmei Yan, Hua Yu, Biyun Ma
Summary: This letter proposes a method to estimate the performance of LoRa in heavy multipath channels using approximations. By analyzing the interference caused by path overlapping quantitatively, the authors derive simple approximations for bit error rate in both coherent and non-coherent detections. They verify their expressions through Monte Carlo simulations with a realistic indoor industrial scenario model. Performance comparison results demonstrate that a high spreading factor can lead to severe multipath overlap and reduce the bit error rate.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2023)
Article
Computer Science, Information Systems
Si-Yu Zhang, Behnam Shahrrava
Summary: Polar codes are applied to a modified version of OFDM systems, OFDM-I/Q-IM, with a random frozen bits appending scheme to improve system performance. A posteriori information for each index provided by the index detector is essential for the iterative decoding of polar codes, and simulation results demonstrate that the proposed polar-coded OFDM-I/Q-IM system outperforms its OFDM counterpart in terms of BER performance.
Article
Chemistry, Analytical
Shibao Li, Rui Lu
Summary: This paper proposes a dynamic subcarrier activated OFDM-IM uplink communication scheme by introducing carrier index modulation into OFDM backscattering, which helps solve the problems of power consumption and communication distance in multicarrier backscattering. By detecting the power collection level of the backscatter device, only a subset of carrier modulation is activated, and the activated subcarriers are mapped using a block-wise combined index, improving the communication distance and spectral efficiency of low-order modulation backscattering.
Article
Telecommunications
Xiaoping Jin, Xingchi Li, Zhen Wu, Miaowen Wen
Summary: In this letter, a reconfigurable intelligent surface-aided joint transceiver space shift keying reflection modulation scheme is proposed. The RIS aids the transceiver SSK modulation and inserts additional bits into the reflected phase shift of the RF signal simultaneously. The design of reflection modulation constellation points and the joint mapping of transceiver antennas enhance the system's reliability. A non-coherent greedy detector is proposed to reduce the required computational complexity of the proposed RIS-JTSSK-RM scheme. The BER performance of the proposed system is analyzed under the optimal maximum likelihood detector and shows better performance.
IEEE COMMUNICATIONS LETTERS
(2023)
Article
Computer Science, Information Systems
Eunchul Yoon, Soonbum Kwon, Unil Yun, Sun-Yong Kim
Summary: This paper presents a method to reduce the implementation complexity of LDPC decoding for OFDM-IM without compromising performance. By decomposing the posterior probability into multiple likelihood probabilities, the proposed approach significantly simplifies LDPC decoding in OFDM-IM, with simulation results confirming its effectiveness.
Article
Engineering, Electrical & Electronic
Mohammad Irfan, Sonia Aissa
Summary: This paper introduces an improved OFDM index modulation technique to address low spectral efficiency, and proposes a scheme with generalized index modulation, comparing different techniques in terms of spectral efficiency, detection complexity, and energy efficiency.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Acoustics
Bin Li, Feng Tong, Siyuan Zheng, Dongsheng Chen
Summary: This paper proposes an iterative Doppler estimation algorithm based on bit-error-rate (BER) gradient descent strategy to reduce search complexity, with smoothed gradient and variable Doppler increment to improve convergence rate and avoid local optimums. The effectiveness and superiority of the proposed BER gradient descent Doppler estimation algorithm is verified through numerical simulations and sea trials.
Article
Engineering, Electrical & Electronic
Jun Zou, Jing Qu, Yirui Guo, Guangzu Liu, Feng Shu
Summary: A novel index modulation approach using spherical code and its constellation mapping is proposed, with a closed form approximation bound of bit error rate derived. Different constellation mapping methods show slight differences in BER performance, and a DNN-based receiver is introduced to reduce detection complexity. Simulation results indicate that the proposed DNN-based receiver can greatly reduce complexity while maintaining close BER performance to the classical method.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Engineering, Civil
Yongbin Gao, Xuebing Liu, Jun Li, Zhijun Fang, Xiaoyan Jiang, Kazi Mohammed Saidul Huq
Summary: The 6G network enables fast connection of autonomous vehicles and generates a large-scale internet of vehicles. The analysis of point cloud data is essential for building an intelligent transportation system with 3D object detection and segmentation. Recent advancements in deep learning for 3D computer vision have introduced various deep convolution networks. Inspired by the application of transformer networks in 2D computer visual tasks, this study proposes an effective local feature transformer network for learning local feature information and correlations between point clouds.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Information Systems
Chao Guo, Xinyu Wang, Gangxiang Shen, Sanjay Kumar Bose, Jiahe Xu, Moshe Zukerman
Summary: Resource disaggregation in data centers can improve resource utilization and offer a more cost-efficient approach for upgrade and expansion. This paper investigates the potential benefits of resource disaggregation from the aspect of reliability, which has not been considered before. The study shows that resource disaggregation can significantly improve service reliability.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2023)
Article
Computer Science, Information Systems
Jun Li, Wei Song, Yongbin Gao, Huixing Wang, Yier Yan, Bo Huang, Jun Zhang, Wei Wang
Summary: This article proposes a monocular 3-D object detection method based on depth-guided local convolution, which combines the information of RGB image mode and depth mode by using a convolution kernel through depth image and works on a single RGB image locally. The method adaptively adjusts the convolution kernel to capture target objects of different scales based on multiscale input information, thereby improving the performance of 3-D object detection. In addition, a soft non-maximum suppression algorithm is used to select the best prediction box, and the depth estimation network and 3-D object detection network are jointly trained to achieve the best performance.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Telecommunications
Jinhao Huang, Wei Wei, Bifa Liang, Cheng Liu, Wenli Shang, Jun Li
Summary: In this paper, a lightweight and efficient three-stage stereo matching network named HRSNet is proposed for real-time stereo matching on resource-constrained edge devices. The network reduces energy consumption and requirement on high-performance computing resources to improve the accuracy of 3D information sensing. Evaluation results show that the proposed network achieves approaching results to state-of-the-art metrics on high-end GPUs and performs well in terms of frame rates and power consumption on Jetson Nano after tensorRT optimization.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2023)
Article
Engineering, Electrical & Electronic
Qiang Li, Song Bai, Jun Li, Zeng Hu, Junfeng Wang
Summary: This paper proposes a novel RIS-JAPT-DR scheme, which partitions the RIS into two groups for active and passive transmission. Approximate BER expressions are derived for the active and passive receivers, and asymptotic analysis is conducted to minimize the performance gap between them. Simulation results verify the BER analysis, optimal partitioning, and robustness against interference.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Cheng Liu, Wei Wei, Bifa Liang, Xihao Liu, Wenli Shang, Jun Li
Summary: This paper proposes CMNet, a lightweight stereo matching architecture that improves the trade-off between speed and accuracy in resource-limited devices. It introduces a novel feature extraction network consisting of a patch embedding layer and a ConvMLP-mixer to enhance feature vectors and increase accuracy of the disparity map. The absolute difference volume is concatenated with the group-wise correlation volume to provide multi-dimensional matching cost information for cost aggregation. CMNet achieves state-of-the-art results in terms of speed and accuracy on the KITTI 2012 and KITTI 2015 stereo matching datasets.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Jun Li, Shuping Dang, Yu Huang, Pengxu Chen, Xiaomin Qi, Miaowen Wen, Huseyin Arslan
Summary: In this paper, a composite multiple-mode orthogonal frequency division multiplexing with index modulation (C-MM-OFDM-IM) scheme is proposed to increase the spectral efficiency (SE) of OFDM-IM systems by extending the indexing to the energy and constellation domains. A variant IM scheme named C-MM-OFDM-IM-II is also proposed to further increase the SE of C-MM-OFDM-IM. Upper-bounded bit error rate (BER) and lower-bounded achievable rate are both derived to evaluate the performance of C-MM-OFDM-IM(-II).
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Rongping Lin, Liu He, Shan Luo, Moshe Zukerman
Summary: Network function virtualization (NFV) is a new networking paradigm that decouples network functions from dedicated hardware, allowing them to run on general-purpose computation servers as virtual network functions. However, energy consumption poses a challenge for NFV networks due to the significant amount of energy consumed by general computation servers. In this study, we address the problem of energy-aware service function chaining (SFC) embedding in NFV networks with hierarchical resource allocation. We propose integer linear programming (ILP) and three polynomial heuristic algorithms for resource allocation, which achieve energy savings without compromising the SFC request acceptance ratio when compared to existing methods.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2023)
Article
Engineering, Electrical & Electronic
Xinyu Wang, Zengfu Wang, Tianjiao Wang, Moshe Zukerman
Summary: Submarine communications cables are crucial for modern society, but their susceptibility to unpredictable disasters poses significant risks to society and the economy. This study integrates the volcano risk factor with other considerations (such as earthquakes, fishing, anchoring, terrain slope, and marine protected areas) and explains the path planning of submarine cables using the Fast Marching Method. By incorporating safety distance constraints and infinite risk values in areas to be avoided, we present approximate Pareto frontiers for cost and risk of submarine cable paths, providing valuable references for different stakeholders. Our findings demonstrate potential cost savings and reduced cable faults in the Tonga-Fiji cable system by utilizing our method, although our conclusions are based on publicly available data only.
IEEE COMMUNICATIONS MAGAZINE
(2023)
Article
Automation & Control Systems
Chao Guo, Moshe Zukerman, Tianjiao Wang
Summary: Hardware disaggregation decouples resources from monolithic servers to potentially improve service reliability. However, directly exposing resource modules to a shared network may negatively impact service reliability. This article studies reliable resource allocation in disaggregated data centers, considering network impact and different disaggregation scales. The results demonstrate that an imperfect network can adversely affect the benefits of hardware disaggregation, but hardware backup and migration-based restoration can mitigate this effect.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Civil
Wei Song, Shaik Rajak, Shuping Dang, Ruijun Liu, Jun Li, Sunil Chinnadurai
Summary: Intelligent Transportation Systems (ITS) are increasingly important in our lives, and sixth-generation (6G) communication technologies play a crucial role in supporting safe and effective vehicular networks. Studying vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications is necessary for implementing ITS with secure, robust, and efficient massive connectivity in vehicular communications networks. Intelligent reflecting surfaces (IRS) are introduced to vehicular communications and ITS as a novel paradigm that can intelligently configure incident signals between vehicles. Understanding the latest research efforts, differences with existing alternatives, and new challenges in implementing IRS in 6G ITS is key.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Civil
Yongbin Gao, Fangzheng Tian, Jun Li, Zhijun Fang, Saba Al-Rubaye, Wei Song, Yier Yan
Summary: In this paper, a 6G-enabled deep learning framework is proposed for the joint optimization of depth and ego-motion estimation in autonomous driving. The proposed method significantly improves the quality of the depth map and achieves state-of-the-art performance in localization accuracy.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Information Systems
Rongping Lin, Song Yu, Shan Luo, Xiaoning Zhang, Jingyu Wang, Moshe Zukerman
Summary: Network function virtualization (NFV) achieves cost-effective network service provisioning by decoupling network functions from dedicated hardware. Service function chaining (SFC) is used to steer traffic flow through a specific order of network functions hosted by cloud computing. This article proposes a new optimization algorithm, along with two heuristic algorithms, to solve the SFC embedding problem in multi-domain networks. Numerical validation shows that the acceptance ratio of the heuristic algorithms is close to the optimal algorithm.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2023)
Article
Engineering, Electrical & Electronic
Xihao Liu, Wei Wei, Cheng Liu, Yuyang Peng, Jinhao Huang, Jun Li
Summary: This article proposes a novel encoder-decoder network for real-time monocular depth estimation on edge devices. The network merges semantic information at a global field via an efficient transformer-based module to provide more details of the object for depth assignment. The network achieves an outstanding balance between accuracy and speed.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Electrical & Electronic
Zhenfei Kuang, Wei Wei, Yier Yan, Jie Li, Guangman Lu, Yuyang Peng, Jun Li, Wenli Shang
Summary: This paper proposes a real-time and robust point-line based monocular visual inertial SLAM system for accurate localization and tracking of mobile robots in complex environments. By extracting and matching line features, as well as sensor fusion optimization, the system achieves high accuracy, real-time performance, and robustness.
IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY
(2022)
