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China Communications
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A Low-Complexity Resource Allocation Scheme for OFDMA Multicast Systems with Proportional Fairness
Lijing Jiang, Rongfang Song
A low-complexity optimization scheme is proposed to balance the tradeoff between system capacity and proportional fairness in orthogonal frequency division multiple ...
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  2018, 15(1)  
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A Low-Complexity Resource Allocation Scheme for OFDMA Multicast Systems with Proportional Fairness Hot!
Lijing Jiang, Rongfang Song
China Communications, 2018, 15(1): 1-11
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A low-complexity optimization scheme is proposed to balance the tradeoff between system capacity and proportional fairness in orthogonal frequency division multiple access (OFDMA) based multicast systems. The major challenge is to solve the non-convexity optimization problem with strict proportional fairness. Constrained team progress algorithm (CTPA) solves this non-convexity problem by allocating sub-channels to each group based on sub-channel gains and proportional fairness constraint. Mapping power algorithm (MPA) guarantees strict proportional fairness with efficient power allocation which utilizes the mapping relation between power and throughput. CTPA-MPA is analyzed in three aspects: complexity, fairness and efficiency. We numerically show that when the system capacity is slightly increased in lower power region compared with several previous approaches, CTPA-MPA improves the proportional fairness in a typical scenario with 4 groups over 16 sub-channels, while reducing the complexity from exponential to linear in the number of sub-channels. It is also proved available in a more complicated system.
An Optimal Resources Configuration Scheme for Caching-Based Content Distribution in Backhaul-Limited Small Cell Networks
Jingfeng Cai, Ronghui Hou, Yinghong Ma
China Communications, 2018, 15(1): 12-22
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In this paper, we study the problem of resource allocation in small cell networks with distributed caching, that is, how to divide the spectrum resources for backhaul and access in order to improve network performance. We formulate our concerned problem by using multi-dimensional Markov model. Our problem considers that each user may access multiple small cell base stations. We conduct simulation experiments to evaluate the performance of our proposed resource allocation scheme. Our simulation results show that the appropriate spectrum resource allocation is important to improve network performance.
Distributed Contact Plan Design for Multi-Layer Satellite-Terrestrial Network
Wenfeng Shi, Deyun Gao, Huachun Zhou, Bohao Feng, Haifeng Li, Guanwen Li, Wei Quan
China Communications, 2018, 15(1): 23-34
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In multi-layer satellite-terrestrial network, Contact Graph Routing (CGR) uses the contact information among satellites to compute routes. However, due to the resource constraints in satellites, it is extravagant to configure lots of the potential contacts into contact plans. What’s more, a huge contact plan makes the computing more complex, which further increases computing time. As a result, how to design an efficient contact plan becomes crucial for multi-layer satellite network, which usually has a large scaled topology. In this paper, we propose a distributed contact plan design scheme for multi-layer satellite network by dividing a large contact plan into several partial parts. Meanwhile, a duration based inter-layer contact selection algorithm is proposed to handle contacts disruption problem. The performance of the proposed design was evaluated on our Identifier/Locator split based satellite-terrestrial network testbed with 79 simulation nodes. Experiments showed that the proposed design is able to reduce the data delivery delay.
Energy Efficient MAC Protocol for Wireless Full-Duplex Networks
Yu Song, Wangdong Qi, Wenchi Cheng
China Communications, 2018, 15(1): 35-44
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The wireless full-duplex (FD) nodes can transmit and receive at the same time using the same frequency-band. Currently, the latest FD media access control (MAC) protocols mainly focus on how to convert the physical layer gains of FD nodes to the throughput gain of wireless FD networks, but pay little attention to the energy consumptions of FD nodes. In this paper, we propose an energy efficient FD MAC protocol. According to the values of self-interference cancellation coefficients corresponding to the nodes of each FD pair and the signal propagation attenuation, the proposed protocol can adaptively select the communication mode of the FD pair between the full-duplex and half-duplex. Also, the minimum transmit power for FD nodes can be obtained to achieve high energy efficiency. We develop an analytical model to characterize the performance of our protocol. The numerical results show that the proposed MAC protocol can optimize the system throughput and reduce the transmission energy consumptions of nodes simultaneously as compared with those of the existing works.
Performance Analysis of Non-Identically Distributed FSO Systems with Dual- and Triple- Branch Based on MRC over Gamma-Gamma Fading Channels
Tao Liu, Hailin Zhang, Jiaoying Wang, Huihua Fu, Ping Wang, Jing Li
China Communications, 2018, 15(1): 45-51
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In this work, the performance of free-space optical (FSO) communication system based on maximal ratio combining using binary phase shift keying subcarrier intensity modulation over Gamma-Gamma fading channels has been studied systematically. Under identically or non-identically distributed branches, the analytical expressions for the bit error rate function of signal-to-noise are derived by expressing the modified Bessel function of second kind with Meijer G -function for dual- and triple-branch systems, respectively. In terms of H-fox function, the new expressions have more general forms and are more efficient for computation. It is found that the dual- and triple-branch systems significantly outperform the direct link system under weak, moderate and strong turbulence conditions. Monte Carlo simulation is also provided to confirm the accuracy of the proposed model.
Fairness-Oriented Hybrid Precoding for Massive MIMO Maritime Downlink Systems with Large-Scale CSIT
Chengxiao Liu, Wei Feng, Te Wei, Ning Ge
China Communications, 2018, 15(1): 52-61
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Different from conventional cellular networks, a maritime communication base station (BS) has to cover a much wider area due to the limitation of available BS sites. Accordingly the performance of users far away from the BS is poor in general. This renders the fairness among users a challenging issue for maritime communications. In this paper, we consider a practical massive MIMO maritime BS with hybrid digital and analog precoding. Only the large-scale channel state information at the transmitter (CSIT) is considered so as to reduce the implementation complexity and overhead of the system. On this basis, we address the problem of fairness-oriented precoding design. A max-min optimization problem is formulated and solved in an iterative way. Simulation results demonstrate that the proposed scheme performs much better than conventional hybrid precoding algorithms in terms of minimum achievable rate of all the users, for the typical three-ray maritime channel model.
Performance Analysis of Outage Probability and Error Rate of Square M-QAM in Mobile Wireless Communication Systems over Generalized α-μ Fading Channels with Non-Gaussian Noise
Fares S.Almehmadi, Osamah S.Badarneh
China Communications, 2018, 15(1): 62-71
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This paper derives new and exact closed-form expressions for the average symbol error rate (SER) of square M-ary quadrature amplitude modulation (M-QAM) in wireless communication systems over the - fading channels subject to an additive non-Gaussian noise. The obtained expressions take into account static and mobile wireless receivers. In addition, a closed-form expression for the outage probability in mobile networks is obtained. Please note that all derived expressions in this paper a valid for integer and non-integer values of the fading parameters. Analytical results are presented to study the impact of noise shaping parameter, severity of fading, and mobility on the average SER. Monte-Carlo simulations results are also provided to validate the accuracy of the analytical results.
Nonlinear Prediction with Deep Recurrent Neural Networks for Non-Blind Audio Bandwidth Extension
Lin Jiang, Ruimin Hu, Xiaochen Wang, Weiping Tu, Maosheng Zhang
China Communications, 2018, 15(1): 72-85
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Non-blind audio bandwidth extension is a standard technique within contemporary audio codecs to efficiently code audio signals at low bitrates. In existing methods, in most cases high frequencies signal is usually generated by a duplication of the corresponding low frequencies and some parameters of high frequencies. However, the perception quality of coding will significantly degrade if the correlation between high frequencies and low frequencies becomes weak. In this paper, we quantitatively analyse the correlation via computing mutual information value. The analysis results show the correlation also exists in low frequency signal of the context dependent frames besides the current frame. In order to improve the perception quality of coding, we propose a novel method of high frequency coarse spectrum generation to improve the conventional replication method. In the proposed method, the coarse high frequency spectrums are generated by a nonlinear mapping model using deep recurrent neural network. The experiments confirm that the proposed method shows better performance than the reference methods.
HASG: Security and Efficient Frame for Accessing Cloud Storage
Shenling Liu, Chunyuan Zhang, Yujiao Chen
China Communications, 2018, 15(1): 86-94
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StaaS (Storage as a Service) has been envisioned as the next generation architecture of IT enterprise. Enterprise, individual end users move more and more important information to outsourced data centers, where the data may be misappropriated in the malicious model. Moreover, users hesitate to store data in the cloud storage because of network fluctuation. Security and availability become the main concern of cloud storage. This paper, to address these issues, presents an architecture of High Available cloud Storage Gateway(HASG). In our design, data file is divided into implicit, redundant blocks by file fragment algorithm. Part of these blocks, which are stored on different designated cloud servers, can be used to reconstruct original file. Additionally, dynamic service provider selection algorithm and redundant block mechanism for file updating is proposed to effectuate cost and bandwidth savings and accelerate data accessing. Experimental results illustrates that our design enhanced security of cloud storage and improved data access efficiency.
An SDN-Based Publish/Subscribe-Enabled Communication Platform for IoT Services
Yali Wang, Yang Zhang, Junliang Chen
China Communications, 2018, 15(1): 95-106
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Publish/subscribe paradigm paves a way to integrate and serve many scalable, inter-operable Internet of Things (IoT) applications. The increasing IoT applications require new properties of publish/subscribe communication model, for example, strict quality of service (QoS) guarantees, supporting a large number of widely distributed devices, etc. Software Defined Networking (SDN) enables personalized programming and individualized QoS supports for different applications. The combination of the two will have a good prospect. In this paper, we present an IoT-oriented communication platform which combines the publish/subscribe paradigm with SDN, aiming at establishing an IoT ecosystem to facilitate IoT services/applications accessing internet. We design the interaction logic of topic-based publish/subscribe middleware, and describe the setup and maintenance of topology information as well as event routing in detail, considering the characteristics of SDN. Finally, we exemplify its practicability with a deployed District Heating Control and Information Service System (DHCISS) and validity the effectiveness with some experiments.
Energy Efficient Modelling of a Network
Anish Kumar Saha, Koj Sambyo, Chandan Tilak Bhunia
China Communications, 2018, 15(1): 107-117
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Most of the networks are generally less energy efficient and most of the time resources are underutilized. Even resources of busy networks are also underutilized and thus networks show energy inefficient management system. This paper focuses on how to obtain minimum resources for the current situation of the network to maintain connectivity, power saving and quality of service. Four different models are proposed in this perspective with different purposes and functions. These models determine the minimum resources under certain constrains. Two types of services namely, “minimum bandwidth” and “trivial file transfer” are considered. For “minimum bandwidth” service, minimum edge, minimum delay and minimum change models are proposed. Here data rate switch and enable/disable of edges are placed in these models for power saving strategy. Another model, multi flow is proposed for “trivial file transfer” service. It is proposed for transferring files through multiple flows in multiple paths from source to destination. All models except multi flow model are mixed integer programming optimization problem.
Probabilistic Model Checking-Based Survivability Analysis in Vehicle-to-Vehicle Networks
Li Jin, Guoan Zhang*, Jue Wang
China Communications, 2018, 15(1): 118-127
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Probabilistic model checking has been widely applied to quantitative analysis of stochastic systems, e.g., analyzing the performance, reliability and survivability of computer and communication systems. In this paper, we extend the application of probabilistic model checking to the vehicle to vehicle (V2V) networks. We first develop a continuous-time Markov chain (CTMC) model for the considered V2V network, after that, the PRISM language is adopted to describe the CTMC model, and continuous-time stochastic logic is used to describe the objective survivability properties. In the analysis, two typical failures are considered, namely the node failure and the link failure, respectively induced by external malicious attacks on a target V2V node, and interrupt in a communication link. Considering these failures, their impacts on the network survivability are demonstrated. It is shown that with increasing failure strength, the network survivability is reduced. On the other hand, the network survivability can be improved with increasing repair rate. The proposed probabilistic model checking-based approach can be effectively used in survivability analysis for the V2V networks, moreover, it is anticipated that the approach can be conveniently extended to other networks.
Smart Caching for QoS-Guaranteed Device-to-Device Content Delivery
Yanli Xu
China Communications, 2018, 15(1): 128-139
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Caching at user equipment (UE) provides a feasible way for device-to-device (D2D) content delivery among proximal users without deploying additional infrastructures. To support D2D content delivery for mobile traffics with quality-of-service (QoS) requirements, smart caching problem is essential to be solved especially when there is no prior knowledge on demands of proximal users. In this paper, impacts of QoS requirements and limited caching capacity on UE caching are analyzed, respectively, based on which a caching scheme is proposed. With the proposed caching scheme, UE can determine whether caching a content or not intelligently to guarantee a content request via D2D communications in the network. Simulation results are presented which verify the analyzed influencing factors on D2D caching and the proposed QoS-provisioning caching scheme.
Source Recovery in Underdetermined Blind Source Separation Based on Artificial Neural Network
Weihong Fu, Bin Nong, Xinbiao Zhou, Jun Liu, Changle Li
China Communications, 2018, 15(1): 140-154
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We propose a novel source recovery algorithm for underdetermined blind source separation, which can result in better accuracy and lower computational cost. On the basis of the model of underdetermined blind source separation, the artificial neural network with single-layer perceptron is introduced into the proposed algorithm. Source signals are regarded as the weight vector of single-layer perceptron, and approximate l0-norm is taken into account for output error decision rule of the perceptron, which leads to the sparse recovery. Then the procedure of source recovery is adjusting the weight vector of the perceptron. What’s more, the optimal learning factor is calculated and a descent sequence of smoothed parameter is used during iteration, which improves the performance and significantly decreases computational complexity of the proposed algorithm. The simulation results reveal that the algorithm proposed can recover the source signal with high precision, while it requires lower computational cost.
A Survey of Multimedia Big Data
Zaijian Wang, Shiwen Mao, Lingyun Yang, Pingping Tang
China Communications, 2018, 15(1): 155-176
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Multimedia big data brings tremendous challenges as well as opportunities for multimedia applications/services. In this paper, we present a survey and tutorial for multimedia big data. After discussing the characteristics of multimedia big data such as human-centricity, multimodality, heterogeneity, unprecedented volume, and so on, this paper provides an overview of the state-of-the-art of multimedia big data, reviews the latest related technologies, and discusses the technical challenges. We conclude this paper with a discussion of open problems and future directions.
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