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A 3-D Polarization Quadrature Amplitude Modulation Method and Constellation Mapping

China Communications 2015年第10期12卷 16-26页

作者： SUN Xuehong ZHANG Haiying ZENG Zhimin GUO Caili Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication EngineeringBeijing University of Posts and Telecommunications Key Laboratory of Intelligent Sensing for Desert Information School of Physics Electrical EngineeringNingxia University

As a new three-dimensional(3-D)modulation,Polarization Quadrature Amplitude Modulation(PQAM) can be regarded as the combination of Pulse amplitude modulation(PAM) and Quadrature Amplitude Modulation(QAM) *** can better improve the digital communication efficiency and reduce the Symbol error rate(SER) of the system than one-dimensional or two-dimensional modulation *** to design a feasible constellation is the most concerned problem of PQAM *** paper first studies the relationship between the SER theoretical value of PQAM and the distribution of M and N,proposes a new M,N allocation ***,a new and straightforward design method of constructing higher-level 3-D signal constellations,which can be matched with the PQAM,and the constellation can divided into three different structures according to the ary for ***,the simulation results show that:in PQAM system,the modulation scheme and the constellation mapping scheme are proposed in this paper which can effectively reduce the system SER and improve the anti-noise performance of the system.

关键词： polarization quadrature amplitude modulation minimum euclidean distance symbol error probability 3-D constellation

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QoS-priority based load balancing algorithm for LTE systems with mixed users

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The Journal of China Universities of Posts and Telecommunications 2015年第3期22卷 9-17页

作者： Chuai Gang Meng Fanfan Sun Li School of Information and Communication Engineering Beijing University of Posts and Telecommunications Key Laboratory of Universal Wireless Communications Ministry of EducationBeijing University of Posts and Telecommunications Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications

Focusing on the load balancing problem among multi-cells in long term evolution （LTE） networks with mixed users, a new multi-objective optimization modeling strategy, which integrates the guaranteed bit rate （GBR） and the best effort （BE） users, was proposed. In consideration of quality of service （QoS） priorities of different users, a decomposition method was presented to solve the original model. Derivations such as applying Lagrange multiplier method, sub-optimal solutions for mixed users were deduced. Based on derived solutions, including resource allocation schemes, a practical multi-objective load balancing algorithm jointly dealing with mixed users was given. Simulation shows a significant improvement of GBR users＇ satisfaction level and BE users＇ throughput in LTE networks by using the proposed algorithm.

关键词： long term evolution system quality of service mixed users multi-objective optimization load balancing resource allocation

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Modeling deterministic echo state network with loop reservoir

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Journal of Zhejiang University-Science C(Computers and Electronics) 2012年第9期13卷 689-701页

作者： Xiao-chuan SUN Hong-yan CUI Ren-ping LIU Jian-ya CHEN Yun-jie LIU Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing 100876China ICT Centre Commonwealth Scientific and lndustrial Research OrganizationSydney 1710Austraiia

Echo state network (ESN), which efficiently models nonlinear dynamic systems, has been proposed as a special form of recurrent neural network. However, most of the proposed ESNs consist of complex reservoir structures, leading to excessive computational cost. Recently, minimum complexity ESNs were proposed and proved to exhibit high performance and low computational cost. In this paper, we propose a simple deterministic ESN with a loop reservoir, i.e., an ESN with an adjacent-feedback loop reservoir. The novel reservoir is constructed by introducing regular adjacent feedback based on the simplest loop reservoir. Only a single free parameter is tuned, which considerably simplifies the ESN construction. The combination of a simplified reservoir and fewer free parameters provides superior prediction performance. In the benchmark datasets and real-world tasks, our scheme obtains higher prediction accuracy with relatively low complexity, compared to the classic ESN and the minimum complexity ESN. Furthermore, we prove that all the linear ESNs with the simplest loop reservoir possess the same memory capacity, arbitrarily converging to the optimal value.

关键词： Echo state networks Loop reservoir structure Memory capacity

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Nash bargaining solution based multi-cell and multi-user interference alignment scheme for cellular networks

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The Journal of China Universities of Posts and Telecommunications 2014年第4期21卷 1-7,14页

作者： NIU Qin ZENG Zhi-min ZHANG Tian-kui GAO Qiu-bin SUN Shao-hui School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications State Key Laboratory of Wireless Mobile Communications China Academy of Telecommunication Technology

In wireless cellular networks, the interference alignment （IA） is a promising technique for interference management. A new IA scheme for downlink cellular network with multi-cell and multi-user was proposed, in the proposed scheme, the interference in the networks is divided into inter-cell interference （ICI） among cells and inter-user interference （IUI） in each cell. The ICI is aligned onto a multi-dimensional subspace by multiplying the ICI alignment precoding matrix which is designed by the singular value decomposition （SVD） scheme at the base station （BS） side. The aligned ICI is eliminated by timing the interference suppression matrix which is designed by zero-forcing （ZF） scheme at the user equipment （UE） side. Meanwhile, the IUI is aligned by multiplying the IUI alignment precoding matrix which is designed based on Nash bargaining solution （NBS） in game theory. The NBS is solved by the particle swarm optimization （PSO） method. Simulations show that, compared with the traditional ZF IA scheme, the proposed scheme can obtain higher data rate and guarantee the data rate fairness of UEs with little additional complexity.

关键词： cellular network interference alignment Nash bargaining solution data rate fairness particle swarm optimization

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Interference alignment and spatially-normalized degrees of freedom of cellular networks with two cells and three users per cell

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Journal of China Universities of Posts and Telecommunications 2013年第SUPPL -2期20卷 86-91页

作者： Song, Xiao-Shi Yin, Chang-Chuan Liu, Dan-Pu Li, Jian-Feng Beijing Key Laboratory of Network System Architecture Beijing University of Posts and Telecommunications Beijing 100876 China

This paper characterizes the spatially-normalized degrees of freedom (DoF) of a 2-cell, 3-user per cell multiple input multiple output (MIMO) cellular networks with M antennas at each user and N antennas at each base station. We show that the spatially-normalized DoF is a piecewise linear function, with either M or N being the bottleneck. Given γ = M / N, we shown that for γ A Δ {1/ 3,1/ 2,2 / 3} there is redundancy in both M and N, i.e., either can be reduced without losing spatially-normalized DoF. On the other hand, for γ B Δ {1/6, 2/5, 5/9, }it is shown that there is no redundancy in either M or N, i.e, neither can be reduced without losing spatially-normalized DoF. Our results also settle the issue of feasibility of linear interference alignment for all values of M and N. Specifically, it is shown that except forγ B for every other γ, the proper systems are actually not feasible. © 2013 The Journal of China Universities of Posts and Telecommunications.

关键词： Redundancy

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Swarm Intelligence Joint Optimization Algorithm for Wireless Sensor networks 9

Swarm Intelligence Joint Optimization Algorithm for Wireless...

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9th International Conference on Computer and Communications, ICCC 2023

作者： Zhang, Zhiwei Wu, Muqing Beijing Key Laboratory of Network System Architecture and Convergence Beijing Laboratory of Advanced Information Networks Beijing China

ISBN: (纸本)9798350317251

Wireless sensor networks consist of a large number of sensor nodes with limited energy. Because wireless sensor networks are mainly deployed in complex environments, it is difficult to charge or replace nodes. Therefore, the main concern of wireless sensor networks is the effective use of node energy. In this study, we propose a joint optimization algorithm based on the characteristics of Grey Wolf optimization algorithm, butterfly algorithm and ant colony algorithm. The algorithm uses the distance to the base station and the remaining energy to select the appropriate cluster head and the best data forwarding path. The simulation results show that the algorithm is superior to LEACH algorithm, grey wolf optimization algorithm and particle swarm optimization algorithm in network lifetime and residual energy. © 2023 IEEE.

关键词： Swarm intelligence

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Hybrid field physical layer network coding in multi-user relay network

Hybrid field physical layer network coding in multi-user rel...

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National Doctoral Academic Forum on Information and Communications Technology 2013

作者： Guo, Yijun Hao, Jianjun Yue, Guangxin Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications China

ISBN: (纸本)9781849198196

Physical layer network coding (PNC) exploits the broadcast nature of wireless channel to obtain transmission efficiency gains. This paper proposes a hybrid field physical layer network coding (HFNC) approach and applys HFNC to the multi-user relay networks. The proposed method enables a reliable transmission with variable throughput under different signal-to-noise ratios (SNR). With given constellation rotations at sources, the points of the equivalent superpositioned (ESP) constellation cluster. The HFNC-based decoding can be divided into two layers. Point-level (PL) decoding over the complex-field achieves a higher throughput as complex field network coding (CFNC), while cloud-level decoding defined in the finite-field is able to resist bad channel with a lower throughput. Excellent performances of symbol error probability (SEP) and transmission efficiency are proved by both theoretical analysis and simulation results.

关键词： Throughput

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Deep learning for channel decoding under correlated noise

Deep learning for channel decoding under correlated noise

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2019 International Conference on Advances in Computer Technology, Information Science and Communications, CTISC 2019

作者： Zhang, Xiangxiang Luo, Tao Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications China

ISBN: (纸本)9789897583575

Traditional Viterbi decoding algorithm degrades performance under correlated noise. Inspired by the powerful learning from data of deep neural networks, we apply denoising convolutional neural network (DnCNN) to channel decoding under correlated noise. In this paper, we propose a DnCNN hard decision Viterbi decoder (short for DHDV decoder) architecture to enhance the performance of convolutional codes under correlated noise. The architecture applies DnCNN to denoise and improves the decoding SNR (signal to noise ratio) through the correlation of noise correlation. Then, the Viterbi Algorithm decoder decodes from the denoised data. DHDV decoder obtains greater BER performance improvement under stronger noise correlation, and it is robust under different convolutional codes and correlated noise models. Comparing the complexity of DnCNN network and matrix multiplication whitening method, DnCNN network complexity is lower when the code length is longer. © 2019 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Viterbi algorithm

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A novel ser and PAPR reduction scheme for complex field network coding 10

A novel ser and PAPR reduction scheme for complex field netw...

引用

10th International Conference on Wireless Communications, networking and Mobile Computing, WiCOM 2014

作者： Li, Pan Hao, Jianjun Guo, Yijun Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781849198455

For multi-source relay-based cooperative communications, it is widely believed that Complex Field network Coding (CFNC) achieves better throughput performance than Physical-layer network Coding (PNC). However, traditional CFNC schemes suffer a considerable loss on the performance of symbol to error ratio (SER) and peak-toaverage power ratio (PAPR) as the number of source nodes increases. In this paper, to tackle this problem in some extent, a novel CFNC scheme, which comprises of two SER and PAPR reduction algorithms, is proposed and analyzed. Particularly, by optimizing the complex coefficient vector at the source nodes at first, the performance of SER is improved;while by shrinking the amplitude of some signals selectively, the PAPR at the destination nodes is reduced. Simulations are provided to validate our analytical results. From the simulation results, it is observed that the proposed CFNC scheme significantly improves the performance of SER and PAPR.

关键词： network coding

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A bio-inspired approach for network selection in dense heterogeneous networks

A bio-inspired approach for network selection in dense heter...

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IEEE Asia Pacific Conference on Wireless and Mobile, APWiMob 2015

作者： Chen, Yawen Wen, Xiangming Lu, Zhaoming Shao, Hua Cheng, Jie Xi, Zeguo Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781479982905

The emerging dense heterogeneous networks comprising different types of small cells enable consumers to employ multiple radio access technologies to communicate. In such a dymica network environment, development of robust and self-adaptive network selection mechanisms is required to satisfy the growing demand on ubiquitous network access. Besides, the energy consumed at wireless interface accounts for the great proportion of the total energy consumption of user devices and the battery lifetime has become a important factor affecting quality of experience (QoE). Hence in this paper, we propose an adaptive network selection approach where each user autonomously choose desired wireless network interface that offers the best energy-quality tradeoff. For this purpose, we adopt an attractor selection model, which is developed from autonomous and adaptive behavior of biological systems. The high adaptability to fluctuating network environment and the simple control rules allow users to dynamically select the best network that provide satisfactory QoE while achieve a acceptable device battery lifetime. © 2015 IEEE.

关键词： Quality of service

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