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IEEE Global Conference on Signal and Information Processing (GlobalSIP)

作者： Qingqing Shang Fangfang Liu Chunyan Feng Ruiyi Zhang Shulun Zhao Beijing Laboratory of Advanced Information Networks Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China

To satisfy the strict latency requirement of Ultra Reliable Low Latency Communications (URLLC) traffic, it is usually scheduled on resources occupied by enhanced Mobile Broadband (eMBB) transmissions at the expense of a highly degraded eMBB spectral efficiency (SE). In this paper, we propose a back propagation neural network (BPNN) based punctured scheduling scheme to address the URLLC placement problem on eMBB traffic within mini-slots. In the proposed scheme, we first design a three-layer BPNN to predict decoding probability of eMBB users with different puncturing situation, then scheduler will select the eMBB user with the least potential throughput loss to puncture. Simulation results demonstrate that the proposed scheme can efficiently reduce the loss of throughput and improve the reliability of eMBB users.

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Optimized Polarization Filtering Based Self-Interference Cancellation Scheme for Full-Duplex Communication

Optimized Polarization Filtering Based Self-Interference Can...

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IEEE Global Conference on Signal and Information Processing (GlobalSIP)

作者： Fengqi Bai Fangfang Liu Chunyan Feng Beijing Laboratory of Advanced Information Networks Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China

In this paper, we propose an optimized polarization filtering based digital self-interference (SI) cancellation (OPC) scheme for full-duplex communication. The proposed OPC scheme utilizes polarization to increase the distinction between the desired signal and the SI and maximizes the signal to interference plus noise ratio (SINR) of the output signal. In order to achieve an optimal trade-off between the desired signal reception and the SI cancellation, an appropriate polarization state (PS) should be selected on the great circle polarization track, which is determined by the PSs of both the SI and the desired signal. Analysis and numerical results demonstrate that the proposed scheme can guarantee that the SINR gain is always positive in the case of any polarization dissimilarity coefficient. In addition, the performance of the OPC scheme can reach the theoretical upper limit in polarization SI cancellation schemes.

关键词： Signal to noise ratio Interference cancellation Receivers Phase change materials Gain Power dividers

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Segment-Based Joint Caching and Recommendation Optimization for Mobile Video Transmission

Segment-Based Joint Caching and Recommendation Optimization ...

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IEEE Globecom Workshops

作者： Hongzhang Wang Wenpeng Jing Xiangming Wen Zhaoming Lu Shuyue Zhao Beijing Key Laboratory of Network System Architecture and Convergence Beijing Laboratory of Advanced Information Networks School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China

ISBN: (数字)9781728109602

ISBN: (纸本)9781728109619

Mobile edge caching is able to reduce transmission latency and relieve the traffic load of backhaul links in the delivery of mobile video contents. However, the content caching remains a challenging problem considering the relatively limited cache capacity and the heterogeneous user demand. Recommendation system, with the ability to shape users' demand, can be leveraged to improve the performance of mobile edge caching efficiency. In this paper, the caching policies and recommendation strategies are designed for the cache-enabled wireless networks. Considering popularity difference among segments in a single video content, a more fine-grained segment-based proactive caching policy is introduced, which is different from the existing works that focus on content-level caching. Besides, the impact of recommendation system on users' request patterns is taken into account. In order to effectively reduce the content transmission latency, a joint caching and recommendation optimization problem is formulated. Due to the NP-hard nature, the problem is divided into two convex subproblems and a heuristic iterative algorithm is proposed. Numerical simulation results show that the proposed algorithm outperforms the existing algorithms in terms of both average transmission latency and cache hit ratio.

关键词： Optimization Internet Shape Wireless networks Numerical models Numerical simulation Bandwidth

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Optimization strategy of SDN control deployment based on simulated annealing-genetic hybrid algorithm 4

Optimization strategy of SDN control deployment based on sim...

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4th IEEE International Conference on Computer and Communications, ICCC 2018

作者： Yong, Bai Muqing, Wu Jing, Shen Min, Zhao Beijing Laboratory of Advanced Information Networks Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing100876 China

ISBN: (纸本)9781538683392

With the in-depth deployment of software-defined networks in various business scenarios, controller deployment problem has become a hot issue for software-defined network. At the same time, with the development of the private network of the smart grid, the demand for security, real-time and reliability of the grid transmission service has been continuously improved. In order to solve the problem of wide distribution of power grid system, large amount of data and high delay requirements, we propose an SDN controller deployment scheme based on simulated annealing-genetic hybrid algorithm. This algorithm combines the simulated annealing algorithm and the genetic algorithm. After the simulated annealing algorithm is used to quickly search for a better solution, the positive feedback information is used to narrow down the maximum number of searches and find the optimal path faster. Finally, simulation experiments show that this algorithm can achieve a lower cost controller deployment solution while ensuring the delay between the switch and the controller, and the time required for deployment is shorter. © 2018 IEEE.

关键词： Simulated annealing

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A multi-agent deep reinforcement learning based spectrum allocation framework for D2D communications

arXiv

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arXiv 2019年

作者： Li, Zheng Guo, Caili Xuan, Yidi Beijing Laboratory of Advanced Information Networks Beijing University of Posts and Telecommunications Beijing100876 Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing100876

Device-to-device (D2D) communication has been recognized as a promising technique to improve spectrum efficiency. However, D2D transmission as an underlay causes severe interference, which imposes a technical challenge to spectrum allocation. Existing centralized schemes require global information, which can cause serious signaling overhead. While existing distributed solution requires frequent information exchange between users and cannot achieve global optimization. In this paper, a distributed spectrum allocation framework based on multi-agent deep reinforcement learning is proposed, named Neighbor-Agent Actor Critic (NAAC). NAAC uses neighbor users' historical information for centralized training but is executed distributedly without that information, which not only has no signal interaction during execution, but also utilizes cooperation between users to further optimize system performance. The simulation results show that the proposed framework can effectively reduce the outage probability of cellular links, improve the sum rate of D2D links and have good convergence. Copyright © 2019, The Authors. All rights reserved.

关键词： Deep learning

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A Multi-Agent Deep Reinforcement Learning Based Spectrum Allocation Framework for D2D Communications

A Multi-Agent Deep Reinforcement Learning Based Spectrum All...

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2019 IEEE Global Communications Conference (GLOBECOM)

作者： Zheng Li Caili Guo Yidi Xuan Beijing Laboratory of Advanced Information Networks Beijing University of Posts and Telecommunications Beijing China Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

关键词： Device-to-device communication Resource management Interference Learning (artificial intelligence) Machine learning Signal to noise ratio Markov processes

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Service Chaining Security Based on Blockchain

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Journal of Physics: Conference Series 2020年第1期1634卷

作者： Ligen Sun Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing 100876 China

The SDN (Software Defined networking) service chaining can take advantage of the separation of control and forwarding in the SDN network, centrally manage and coordinate various physical and virtual resources to dynamically meet users' complex network service needs. At present, most researches on SDN service chaining are about the service chaining protocol and composition structure, service chaining mapping and service chaining strategy description. However, there is no traceable data storage method for the stability of the performance of the service nodes. This paper proposes to use blockchain technology to ensure the reliable traceability of the service chaining data. Meanwhile, in order to improve the retrieval efficiency, this paper designs and implements the combination of virtual chain and Bloom filter, and through the design of smart contract to achieve the query rate of 584.7KB/s under the condition of using blockchain. Besides, the system can save 28.7% of the retrieval time in the case of a large number of service chaining data storage. These experimental results prove that the system design can be well applied in the service chaining scenario.

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A generalized dimming control scheme for visible light communications

arXiv

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arXiv 2020年

作者： Yang, Yang Wang, Congcong Feng, Chunyan Guo, Caili Cheng, Julian Zeng, Zhimin Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China Beijing Laboratory of Advanced Information Networks School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China Faculty of Applied Science School of Engineering University of British Columbia KelownaBCV1V 1V7 Canada

A novel dimming control scheme, termed as generalized dimming control (GDC), is proposed for visible light communication (VLC) systems. The proposed GDC scheme achieves dimming control by simultaneously adjusting the intensity of transmitted symbols and the number of active elements in a space-time matrix. Both the indices of the active elements in each space-time matrix and the modulated constellation symbols are used to carry information. Since illumination is deemed as the prior task of VLC, an incremental algorithm for index mapping is proposed for achieving target optical power and uniform illumination. Next, GDC having the optimal activation pattern is investigated to further improve the bit-error rate (BER) performance. In particular, the BER performance of GDC is analyzed using the union bound technique. Based on the analytical BER bound, the optimal activation pattern of GDC scheme with the minimum BER criterion (GDC-MBER) is obtained by exhaustively searching all conditional pairwise error probabilities. However, since GDC-MBER requires high search complexity, two low-complexity GDC schemes having the maximum free distance criterion (GDC-MFD) are proposed. The first GDC-MFD scheme, coined as GDC-MFD1, reduces the computational complexity by deriving a lower bound of the free distance based on Rayleigh-Ritz theorem. Based on the time-invariance characteristics of the VLC channel, GDC-MFD2 is proposed to further reduce the required computation efforts. Simulation and numerical results show that GDC-MBER, GDC-MFD1 and GDC-MFD2 have similar BER performance, and they can achieve 2 dB performance gains over conventional hybrid dimming control scheme and 7 dB performance gains over digital dimming control schemes. Copyright © 2020, The Authors. All rights reserved.

关键词： Visible light communication

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A high coverage camera assisted received signal strength ratio algorithm for indoor visible light positioning

arXiv

引用

arXiv 2020年

作者： Bai, Lin Yang, Yang Feng, Chunyan Guo, Caili Cheng, Julian Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China Beijing Laboratory of Advanced Information Networks School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China Faculty of Applied Science School of Engineering University of British Columbia KelownaBCV1V 1V7 Canada

In this paper, a high coverage algorithm termed enhanced camera assisted received signal strength ratio (eCA-RSSR) positioning algorithm is proposed for visible light positioning (VLP) systems. The basic idea of eCA-RSSR is to utilize visual information captured by the camera to estimate the incidence angles of visible lights first. Based on the incidence angles, eCA-RSSR utilizes the received signal strength ratio (RSSR) calculated by the photodiode (PD) to estimate the ratios of the distances between the LEDs and the receiver. Based on an Euclidean plane geometry theorem, eCA-RSSR transforms the ratios of the distances into the absolute values. In this way, eCA-RSSR only requires 3 LEDs for both orientation-free 2D and 3D positioning, implying that eCA-RSSR can achieve high coverage. Based on the absolute values of the distances, the linear least square method is employed to estimate the position of the receiver. Therefore, for the receiver having a small distance between the PD and the camera, the accuracy of eCA-RSSR does not depend on the starting values of the non-linear least square method and the complexity of eCA-RSSR is low. Furthermore, since the distance between the PD and camera can significantly affect the performance of eCA-RSSR, we further propose a compensation algorithm for eCA-RSSR based on the single-view geometry. Simulation results show that eCA-RSSR can achieve centimeter-level accuracy over 80% indoor area for both the receivers having a small and a large distance between the PD and the camera. Copyright © 2020, The Authors. All rights reserved.

关键词： Cameras

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Tie-line Power Adjustment Method Based on Proximal Policy Optimization Algorithm

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Journal of Physics: Conference Series 2021年第1期1754卷

作者： Jinxiu Hou Zhihong Yu Qingping Zheng Huating Xu Shufang Li China Electric Power Research Institute Beijing 100192 China Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing 100876 China College of Electrical Engineering Zhejiang University Hangzhou 310027 China

The tie-line power adjustment is an essential part of the power system operation state calculation. Various existing algorithms to solve the tie-line power adjustment problem are mainly implemented by introducing tie-line power equation constraints into conventional power flow calculations. Such methods have low calculation efficiency, not enough automation, and are prone to non-convergence in the power flow calculation. In this paper, the tie-line power adjustment problem is formulated as a Markov decision process, and the proximal policy optimization algorithm is introduced to optimize the decision policy. In order to enhance the effectiveness of the proposed method, a new deep neural network structure suitable for the proximal policy optimization algorithm is designed. The proposed method is verified with the IEEE 39-bus system.

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