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Resource Allocation for Multi-Traffic in Cross-Modal Communications
Lei Wang;Anmin Yin;Xue Jiang;Mingkai Chen;Kapal Dev;Nawab Muhammad Faseeh Qureshi;Jiming Yao;Baoyu Zheng
Cross-modal communications that incorporate audio-visual and tactile signals will bring a more holistic immersive experience to people. However, due to the different transmission requirements of these signals, it is a challenging task to rationalize the allocation of transmission resources. Therefore, this work proposes a joint transmission scheme to deal with the resource allocation problem of di...Show More
Multi-Access Edge Computing using Mode Division Multiple Access
2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)
Year: 2022 | Conference Paper |
In order to meet the demand for bigger data and lower time of processing data in future industry and daily life, the paper proposes a scheme combining multi-access edge computing (MEC) and mode division multiple access (MDMA). To greatly reduce the MEC system transmission and data processing time of a scenario where multiple devices offload the large amount of data onto the MEC server within the c...Show More
Effective Computational Efficiency Maximization in Cooperative NOMA Based MEC System
2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
The paper mainly studies how to better apply non-orthogonal multiple access (NOMA) to mobile edge computing (MEC) system under the condition of considering offload interruption, and adopts user collaboration(UC) and wireless power transfer (WPT) technology. First, two users use WPT to collect energy from the base station equipped with the MEC server. Then, to better increase the system capacity an...Show More
Resource Management and Computing Offloading to Minimize Power Consumption Cost in Slice-MEC System
2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)
Year: 2022 | Conference Paper |
With the advancement of 5G technology, user demand grows, resources become scarce and differentiated services place greater requirements on performance in slice-MEC system. However, optimizing works in the vast majority of existing research focus only on slice selection, resource orchestration, utility improvement from the perspective of users, without considering whole system's power consumption ...Show More
Intelligent Reflective Surface-Assisted MEC Securely Calculates Offloading Policy
2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)
Year: 2022 | Conference Paper |
To enhance the security in the computational offloading process of Mobile Edge Computing (MEC) systems, this paper proposes a physical layer secure transmission scheme based on Intelligent Reflecting Surface (IRS) assistance. In this scheme, IRS is added to facilitate the task transfer between the user and the MEC server, while suppressing eavesdroppers from eavesdropping on user information, thus...Show More
Robust Resource Allocation for Indoor Self-Blockage Millimeter Wave Device-to-Device Communications
Haie Dou;Xiaoting Yu;Bin Kang;Mingkai Chen;Lei Wang;Baoyu Zheng
The advancement of millimeter wave (mmWave) technology can meet the requirements of large amounts of data communications among intelligent devices for indoor scenarios. However, reducing interference in an enclosed region is still challenging because the human body becomes the main blockage in indoor scenarios. In this paper we develop a robust system to exploit the self-blockage model for analysi...Show More
Dynamic Resource Scheduling Strategy with QoE-aware for the Coexistence of eMBB and URLLC Traffic
2021 13th International Conference on Wireless Communications and Signal Processing (WCSP)
Year: 2021 | Conference Paper |
Cited by: Papers (3)
The coexistence of URLLC and eMBB services are very important for high data rate and low latency services in 5th Generation(5G) mobile network. But it is a difficult challenge to optimize resource allocation through effective scheduling in this case. Therefore, this paper proposes a coexistence scheme of URLLC and eMBB with the puncturing mechanism. Considering rate demands of different users, we ...Show More
An Optimization Method to Maximize the Service Quality of SCMA Grant-Free Access with MPR
2021 13th International Conference on Wireless Communications and Signal Processing (WCSP)
Year: 2021 | Conference Paper |
Grant-free access successfully reduces the overhead and delay of signaling in the scenario of ultra-reliable low-latency communications (URLLC). However, it is also prone to conflict in the case of high load, resulting the lose of spectrum efficiency, reduced reliability and increased delay. In this paper, we realize K-multipacket reception (K-MPR) with sparse code multiple access (SCMA) technolog...Show More
Secure Energy Efficiency Resource Allocation for D2D Communication With Full-Duplex Radio
2021 13th International Conference on Wireless Communications and Signal Processing (WCSP)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
In this paper, we investigate the issue of resource allocation for secure communications in Divice-to-divice(D2D) network with full-duplex (FD) radio, for maximizing the overall secure energy efficiency(SEE). Under the power constraint and secrecy capacity requirement, the resource allocation problem involves the cluster head selection and subcarrier power allocation. Since the considered optimiza...Show More
Mobile Edge Computing Based Task Offloading and Resource Allocation in Smart Grid
2021 13th International Conference on Wireless Communications and Signal Processing (WCSP)
Year: 2021 | Conference Paper |
Cited by: Papers (14)
Computational offloading, as one of the means to reduce latency and energy consumption in mobile edge computing (MEC), can reduce industrial costs through reasonable offloading decisions. A mixed-integer nonlinear optimization problem that minimizes task completion time is constructed for the smart grid scenario where there are power terminals with insufficient computing power to deal with high la...Show More
Deep Learning-based Channel Estimation Approach for 3D Massive MIMO Millimeter-Wave System in Time-Varying Environments
2021 IEEE/CIC International Conference on Communications in China (ICCC)
Year: 2021 | Conference Paper |
Cited by: Papers (7)
Channel estimation in the high-speed mobile environment is a hot issue for 3D massive multiple input multiple output (MIMO) millimeter-wave (mmWave) system. In this environment, the channel has fast time-varying and non-stationary characteristics. And its time-domain correlation coefficient is a time-varying parameter, which makes it difficult for traditional channel estimation methods to capture ...Show More
Topological Interference Management With Inaccurate Topology of Network
IEEE Communications Letters
Cited by: Papers (6)
In this letter, we investigate the topological interference management (TIM) problem in the presence of measurement error of the network topology. We formulate the TIM problem as a low-rank matrix recovery problem and then solve it through an alternating algorithm to recover the true network topology. Our numerical results demonstrate that the proposed low-rank matrix recovery model can significan...Show More
During the driving of the smart car, due to the complexity of the environment, a single sensor or multiple homogeneous sensors cannot fully perceive the traffic environment around the smart car. Therefore, it is necessary to study the information fusion scheme of heterogeneous sensors, use the advantages of heterogeneous sensors to make up for the shortcomings of a single sensor, to realize the fu...Show More
Energy Efficient Resource Allocation in NOMA-Sectored Heterogeneous Network
2020 International Conference on Wireless Communications and Signal Processing (WCSP)
Year: 2020 | Conference Paper |
Cited by: Papers (1)
Non-orthogonal multiple access (NOMA) and heterogeneous network (HetNet) have been regarded as two promising technologies in 5G, which can support massive connectivity. Integrating NOMA technology into HetNet is an inevitable trend to achieve better spectral efficiency. However, interference control becomes more complicated due to the combination of these two technologies and the optimization of e...Show More
Arbitrary-Oriented Ship Detection Based on Feature Filter and KL Loss
Chen Li;Lei Wang;Bin Kang;Mingkai Chen;Jingwu Cui;Baoyu Zheng
2020 International Conference on Wireless Communications and Signal Processing (WCSP)
Year: 2020 | Conference Paper |
Cited by: Papers (1)
Although deep learning has been dominant in the field of target detection, there are still some challenges in the field of detection of ships: horizontal boundary box contains too much redundancy and noise in the scene of large scale and dense arrangement of ships, and there are many interferences in remote sensing optical images that affect the bounding box regression. Recent neural network for s...Show More
Edge Detection by Superposed-Spiral Phase Filter
2020 International Conference on Wireless Communications and Signal Processing (WCSP)
Year: 2020 | Conference Paper |
In the paper, we present a spiral phase plate (SPP) filter in Fourier domain for detecting the intensity or phase object's edge information. The proposed edge detection scheme takes advantage of SPP filter and Sobel operator. In contrast to the spiral phase contrast (SPC) imaging adopting common SPP with topological charge ℓ = 1, our scheme offers a superposed-SPP filter with several different top...Show More
Low-Rank Matrix Recovery for Topological Interference Management
2020 International Conference on Wireless Communications and Signal Processing (WCSP)
Year: 2020 | Conference Paper |
Cited by: Papers (1)
Low-rank matrix completion plays an important role in modeling and computational methods for topological interference management (TIM), but in many applications affected by noise, these networks topological information cannot be fully directly observed, and one encounters the problem of recovering the topology information matrix given only incomplete observations. To reduce the noise effect and ma...Show More
In order to effectively extract image features highly related to visual perception quality, improve the image quality evaluation method, under the framework of deep learning, combining the optical flow method and the edge detection algorithm, a multi-feature fusion motion based on improved optical flow is proposed target detection algorithm. First, a video fluid model is proposed. The fluid model ...Show More
Effects of Oceanic Turbulence on the Propagation of Hypergeometric-Gaussian Beam Carrying Orbital Angular Momentum
2020 IEEE International Conference on Communications Workshops (ICC Workshops)
Year: 2020 | Conference Paper |
Cited by: Papers (2)
In this paper, we investigate the propagation property of Hypergeometric-Gaussian (HyGG) beam carrying orbital angular momentum (OAM) under oceanic turbulence based on Rytov approximation theory, and obtain the theoretical detection probability equations of HyGG-OAM beam propagating through oceanic turbulence. We discuss the influence of beam source parameters and oceanic turbulence parameters on ...Show More
FDDWNet: A Lightweight Convolutional Neural Network for Real-Time Semantic Segmentation
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2020 | Conference Paper |
Cited by: Papers (43)
This paper introduces a lightweight convolutional neural network, called FDDWNet, for real-time accurate semantic segmentation. In contrast to recent advances of lightweight networks that prefer to utilize shallow structure, FDDWNet makes an effort to design more deeper network architecture, while maintains faster inference speed and higher segmentation accuracy. Our network uses factorized dilate...Show More
UGC Online Learning Proactive Caching Strategy for Multi-levels Wireless Networks
2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW)
Year: 2019 | Conference Paper |
User Generated Content (UGC) increases rapidly owing to the development of mobile Internet. Proactive caching can unload popular content flow and reduce content request delay to improve QoS. The effectiveness of proactive caching depends on the imformation about content popularity. In this paper, we suggest a UGC online learning proactive caching strategy. In this strategy, with the utilize of mul...Show More
Resource Allocation Based on Utility Function in CDN Replica Server
2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW)
Year: 2019 | Conference Paper |
With the rapid growth of Internet traffic, content delivery network (CDN) has become an indispensable network component. Therefore, various technologies of CDN have been widely studied. In this paper, we develop an optimization model for replica server resource allocation. First, we consider user requests to obey the Zipf Distribution. Under the premise that there is a difference in the amount of ...Show More
An Incentive Caching Mechanism in Wireless Networks Based on Stackelberg Game
2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW)
Year: 2019 | Conference Paper |
Cited by: Papers (2)
In this paper, an incentive caching mechanism between multiple mobile network operators (MNOs) and multiple video service providers (VSPs) is proposed to alleviate the traffic burden on the cellular backhaul link. MNOs provide storage space to VSPs and VSPs compete to decide the caching demand amount to improve users' experience. The caching resource allocation problem is formulated as a Stackelbe...Show More
Capacity Analysis of OAM Millimeter Wave System in the Off-axis Misalignment Case
2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW)
Year: 2019 | Conference Paper |
Cited by: Papers (2)
The main problem of orbital angular momentum (OAM) millimeter wave communication system is the off-axis misalignment between the transmitter and the receiver. In this paper, the channel modeling of the system is carried out based on the energy transition characteristics of OAM modes in the off-axis misalignment case. Numerical results show the power distribution between different OAM modes and cap...Show More
Deep Learning-based Automatic Modulation Recognition Algorithm in Non-Cooperative Communication systems
Zhimin He;Yang Peng;Yu Zhao;Jie Yang;Lei Wang;Baoyu Zheng;Guan Gui
2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)
Year: 2019 | Conference Paper |
Cited by: Papers (10)
Automatic modulation recognition (AMR) is considered one of most important topics in non-cooperative communication systems. Traditional algorithms, e.g., high order cumulants (HOC) and support vector machine (SVM), are hard to achieve reliable performance. In this paper, we propose an effective AMR algorithm based on deep learning (DL) with capabilities of automatically extracting representative a...Show More
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