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Multilayer Feed-forward Neural Network learning based Dynamic Chinese restaurant model for dynamic spectrum access in cognitive radio networks

Multilayer Feed-forward Neural Network learning based Dynami...

引用

International Symposium on Communications and Information Technologies (ISCIT)

作者： Jianlan Liu Xiao jun Jing Songlin Sun Xiaohan Wang Dongmei Cheng Hai Huang Key Laboratory of Trustworthy Distributed Computing and Service (BUPT) Beijing University of Posts and Telecommunications Beijing China Key Laboratory of Trustworthy Distributed Computing and Service (BUPT) Beijing University of Posts and Telecommunications Beijing Beijing CN

As an effective approach to improve spectrum efficiency, cognitive radio network make it possible for secondary users (SU) to share the spectrum with primary users (PU), on the condition that the primary users have preemptive priority. In this paper, we applied the Dynamic Chinese restaurant game, which ideally modeled the spectrum sensing and access in cognitive network. We propose the use of Multilayer Feed-forward Neural Networks (MFNN) as an effective method for users to learn the network state, which can be regarded as how a customer learn the table state in the restaurant. Moreover, in order to select an optimal table for a secondary user, subsequent secondary users' sequential decisions are considered. The effectiveness and efficiency of the proposed scheme is verified in the simulation.

关键词： Cognitive radio Neurons Games Sensors Neural networks Information and communication technology Nonhomogeneous media

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A novel scheme for downlink opportunistic interference alignment

A novel scheme for downlink opportunistic interference align...

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International Conference on Telecommunications (ICT)

作者： Haijing Liu Hui Gao Wei Long Tiejun Lv Key Laboratory of Trustworthy Distributed Computing and Service Beijing University of Posts and Telecommunications Beijing China

In this paper we propose a downlink codebook-based opportunistic interference alignment (OIA) in a three-cell MIMO system. A codebook composed of multiple transmit vector sets is utilized to improve the multiuser selection diversity. The sum rate increases as the size of the codebook grows. In addition, during the user selection, effective channel gain and alignment metric are combined to generate a novel criterion, which improves the system performance, especially at low SNR. Furthermore, a threshold-based feedback approach is introduced to reduce the feedback load in the proposed scheme. Both the analytical results and simulations show that the proposed scheme provides significant improvement in terms of sum rates with no feedback load growth and slight increase of complexity.

关键词： Vectors Interference Measurement Array signal processing Signal to noise ratio Downlink MIMO

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An Improved Multi-objective Evolutionary Algorithm Based on Gaussian Distribution Estimation

An Improved Multi-objective Evolutionary Algorithm Based on ...

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作者： Li-yang HOU Xiao-yong LI Yan-rong LI Wen-ping KONG Hai-feng CHANG Key Laboratory of Trustworthy Distributed Computing and Service Ministry of EducationBeijing University of Posts and Telecommunications

When an emergency occurs, how to specify a reasonable resource scheduling scheme significantly affects disaster relief efficiency. However, most actual existing schemes lack considering satisfaction of potential disaster sites, and lack a scheduling model with 3 or more optimization goals, which makes it difficult to apply to complex scenarios. In this paper, we propose a four-objective resource scheduling optimization model that additionally considers potential disaster sites satisfaction. And we have designed an improved NSGA-Ⅲ-GD algorithm to optimize this model. First, we introduce NSGA-Ⅲ, an algorithm that has a great advantage in multi-objective optimization problems. And more importantly, we use Gaussian estimation distribution instead of traditional cross mutation operators to extract the overall characteristics of the population, which improves the search accuracy of the optimal solution and greatly improves the convergence speed. The experimental results clearly show that the algorithm proposed in this paper has achieved very good performance.

关键词： Potential disaster sites Resource scheduling Multi-objective optimization NSGA-Ⅲ-GD

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Joint source-relay selection and transmission mode selection in two-way relay networks

Joint source-relay selection and transmission mode selection...

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IEEE International Conference on Communications Workshops, ICC

作者： Gaoli Bi Hui Gao Tiejun Lv Key Laboratory of Trustworthy Distributed Computing and Service Beijing University of Posts and Telecommunications Beijing China

A joint source-relay selection and transmission mode selection scheme is proposed for two-way relay networks. The proposed scheme adaptively switches from one-way and two-way transmission mode according to the channel state information (CSI) of the selected relay and source. The proposed joint scheme utilizes the direct link channels and the time-varying character of the channels, therefore, it is more reliable than the existing schemes. A tight closed-form lower bound and an asymptotic expression in high SNR regime for the outage probability of the proposed scheme are derived. From these theoretical results, our scheme is shown to achieve the maximal diversity order of M + N, where M and N are the number of source nodes and relay nodes, respectively. Finally, simulation results validate the theoretical analysis.

关键词： Manganese Protocols Signal to noise ratio Joints Relay networks (telecommunications) Mobile communication

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Secure beamforming and artificial noise design in interference networks with imperfect ECSI

Secure beamforming and artificial noise design in interferen...

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IEEE International Conference on Communications Workshops, ICC

作者： Jian Zhou Ruohan Cao Hui Gao Cong Zhang Tiejun Lv Key Laboratory of Trustworthy Distributed Computing and Service Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781467363068

This paper investigates the joint robust beamforming and artificial noise design in two-user interference networks, where one of the two pairs is wiretapped by an external eavesdropper, and only imperfect eavesdropper's channel state information (ECSI) is available for the two pairs. Under individual transmission power constraint, our goal is to maximize the worst-case achievable secrecy rate of the wiretapped node and guarantee the signal-to-interference-plus-noise ratio (SINR) requirement at the wiretap-free node. In particular, considering the channel vectors and channel covariance matrices errors, we first model the imperfect ECSI in the sense of ellipsoidal uncertainties. In the sequel, our design goal is transformed into solving a non-convex optimization problem which can be further reformulated as a two-stage problem. With the help of rank relaxation and one dimensional line search, the considered two-stage problem is solved efficiently. Simulation results demonstrate the effectiveness of the proposed design in different scenarios.

关键词： Array signal processing Interference Uncertainty Transmitters Security Noise Joints

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A Neural Network and Bloom Filter-Based Name Search Method in Named Data Networking

A Neural Network and Bloom Filter-Based Name Search Method i...

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Neural Networks, Information and Communication Engineering (NNICE), International Conference on

作者： Yue Liu Xiaoyong Li Xiaotian Si Mengyang Zhang Kaiguo Yuan Pengcheng Li Key Laboratory of Trustworthy Distributed Computing and Service Beijing University of Posts and Telecommunications Beijing China

In a new network architecture like NDN, designing an efficient name lookup method has always been a valuable challenge. The paper studies the name lookup technology based on the Bloom filter and BPNN neural network mapping model in named data networking. In the part of the hybrid model based on the Bloom filter and BPNN, the paper proposes the fusion idea of the Bloom filter and BPNN, and provides a detailed introduction to the construction process of the hybrid model. At the same time, in order to improve the memory utilization of traditional Bloom filters, this article proposes a way to use neural networks to enhance it, and proved its effectiveness through experiments.

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An Intrusion Detection Method Based on Transformer-LSTM Model

An Intrusion Detection Method Based on Transformer-LSTM Mode...

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Neural Networks, Information and Communication Engineering (NNICE), International Conference on

作者： Zhipeng Zhang Xiaotian Si Linghui Li Yali Gao Xiaoyong Li Jie Yuan Guoqiang Xing Key Laboratory of Trustworthy Distributed Computing and Service Beijing University of Posts and Telecommunications Beijing China

With the development of network technologies, network intrusion has become increasing complex which makes the intrusion detection challenging. Traditional intrusion detection algorithms detect intrusion traffic through intrusion traffic characteristics or machine learning. These methods are inefficient due to the dependence of manual work. Therefore, in order to improve the efficiency and the accuracy, we propose an intrusion detection method based on deep learning. We integrate the Transformer and LSTM module with intrusion detection model to automatically detect network intrusion. The Transformer and LSTM can capture the temporal information of the traffic data which benefits to distinguish the abnormal data from normal data. We conduct experiments on the publicly available NSL-KDD dataset to evaluate the performance of our proposed model. The experimental results show that the proposed model outperforms other deep learning based models.

关键词： Measurement Deep learning Machine learning algorithms Intrusion detection Manuals Artificial neural networks Transformers

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A multiobjective genetic algorithm based dynamic bus vehicle scheduling approach 1

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13th International Conference on Bio-Inspired computing: Theories and Applications, BIC-TA 2018

作者： Shi, Hongyi Wang, Chunlu Zuo, Xingquan Zhao, Xinchao School of Computer Science Beijing University of Posts and Telecommunications Beijing China Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education Beijing China School of Science Beijing University of Posts and Telecommunications Beijing China

ISBN: (数字)9789811328299

ISBN: (纸本)9789811328282

Bus vehicle scheduling is very vital for bus companies to reduce operation cost and guarantee quality of service. Urban roads are easily blocked due to bad weather, such that it is significant to study the bus vehicle scheduling problem under traffic congestion caused by bad weather. In this paper, a dynamic bus vehicle scheduling approach is proposed, which consists of two parts: (1) generate a set of candidate vehicle blocks once the road is blocked;(2) adopt the non-dominated sorting genetic algorithm combined with a departure time adjusting process to select a subset of vehicle blocks from the candidate blocks set to form a vehicle scheduling scheme. Experiments show that our approach can significantly improve quality of service compared to the manual vehicle scheduling scheme. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Buses

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Joint Cache Placement and Beamforming Design for Scalable Videos in C-RAN

Joint Cache Placement and Beamforming Design for Scalable Vi...

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International Symposium on Wireless Communication Systems (ISWCS)

作者： Mingfeng Ma Tiejun Lv Xuewei Zhang Key Laboratory of Trustworthy Distributed Computing and Service Beijing University of Posts and Telecommunications Beijing China

This paper investigates the joint optimization of layered caching and beamforming design for scalable videos delivered by Dynamic Adaptive Streaming over HTTP in the multicell cloud radio access network. To transmit differential scalable videos, each video is divided into a base layer and a set of enhancement layers based on scalable video coding. Taking the layered property of scalable videos into account, we propose a layered caching scheme, i.e., multiple layers of different scalable videos are cached in the baseband unit pool and the cache-enabled cluster respectively, which alleviates the burden of backhaul links effectively. Since the quality of videos received by each user depends on the available bandwidth, the appropriate scalable videos are provided for users based on the transmission rates. To provide superior video quality for users, we aim to maximize the sum rate for users accessing the remote radio heads and regard the backhaul consumption as a quality of service constraint explicitly. Then, the weighted sum rate maximization problem is formulated, which can be converted into a quadratically constrained quadratic programming problem through the l 0 -norm approximation technique and the weighted minimum mean square error approach. Finally, simulation results demonstrate the superiority of the proposed scheme.

关键词： Videos Array signal processing Servers TV Wireless communication Bandwidth Radio access networks

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A cognitive radio relay selection scheme in two-tier femtocell networks

A cognitive radio relay selection scheme in two-tier femtoce...

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International Symposium on Wireless Personal Multimedia Communications (WPMC)

作者： Xiaolong Zhao Tiejun Lv Key Laboratory of Trustworthy Distributed Computing and Service Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781479904631

The effective cross-tier interference (CTI) mitigation is a key technique for the macrocell and femtocell two-tier heterogeneous networks. In this paper, a cognitive radio relay selection (CRRS) scheme is proposed to improve the quality of service (QoS) of the femto-networks. On the one hand, for the macro-network, the scheme is intended to ensure the macrocell users can endure much more interference from the femtocell users. On the other hand, with respect to the femto-networks, the scheme can effectively improve the received signal strength relative to cross-tier macrocell interference of the femtocell users. As a result, the femtocell users can obtain a relative improvement in their Signal-to-Interference-plus-Noise-Ratio (SINR). Simulation results demonstrate that, compared with the existing works, the proposed scheme can not only increase the number of the successful femtocell users, but also improve the average SINR of the femtocell users.

关键词： Educational institutions

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