A lightweight attribute-based encryption scheme for the Internet of Things

Internet of Things (IoT) is an emerging network paradigm, which realizes the interconnections among the ubiquitous things and is the foundation of smart society. Since IoT are always related to user’s daily life or work, the privacy and security are of great importance. The pervasive, complex and heterogeneous properties of IoT make its security issues very challenging. In addition, the large number of resources-constraint nodes makes a rigid lightweight requirement for IoT security mechanisms. Presently, the attribute-based encryption (ABE) is a popular solution to achieve secure data transmission, storage and sharing in the distributed environment such as IoT. However, the existing ABE schemes are based on expensive bilinear pairing, which make them not suitable for the resources-constraint IoT applications. In this paper, a lightweight no-pairing ABE scheme based on elliptic curve cryptography (ECC) is proposed to address the security and privacy issues in IoT. The security of the proposed scheme is based on the ECDDH assumption instead of bilinear Diffie–Hellman assumption, and is proved in the attribute based selective-set model. By uniformly determining the criteria and defining the metrics for measuring the communication overhead and computational overhead, the comparison analyses with the existing ABE schemes are made in detail. The results show that the proposed scheme has improved execution efficiency and low communication costs. In addition, the limitations and the improving directions of it are also discussed in detail.     

Joint power allocation and multi-relay selection scheme based on system outage probability

An amplify-and-forward （AF） based multi-relay network is studied. In order to minimize the system outage probability with a required transmission rate, a joint power allocation （PA） and multi-relay selection scheme is proposed under both total and individual power constraints （TIPC）. In the proposed scheme, the idea of ordering is adopted to avoid exhaustive search without losing much system performance. Besides the channel quantity, the ordering algorithm proposed in this article also takes relays＇ maximal output ability into consideration, which is usually ignored in traditional relay ordering algorithms. In addition, simple power reallocation method is provided to avoid repetitive PA operation during the process of searching all possible relay subsets. By Adopting the idea of ordering and using the proposed power reallocation method lead to remarkable decrease of the computation complexity, making the scheme easier and more feasible to implement in practical communication scenarios. Simulations show that the proposed multi-relay selection scheme provides similar performance compared to the optimal scheme with optimal PA and exhaustive search （OPAES） but with much lower complexity.     

超密集网络中基于判别函数的聚类算法

超密集网络可以通过虚拟小区间的协作来提升用户体验,但由于小区的重叠覆盖使得用户间存在较复杂的干扰问题。因此,提出了一种基于判别函数的聚类算法来缓解强干扰带来吞吐量下降的问题。首先,利用用户间干扰信道的余弦相似度定义用户间的干扰网络;然后,基于干扰网络选出簇头并划分用户,同时为了解决虚拟小区下的模糊用户归属簇问题,以簇间干扰权重之和最大,簇内干扰权重之和最小为原则设计判别函数,对用户进行模糊归类。仿真结果表明,在不增加复杂度的同时,所提算法比其他方法的系统吞吐量提升了10%~30%,对于边缘用户具有一定优势。     

Cross-layer in MIMO-OFDM System with Adaptive Modulation and Coding：Design and Analysis

The queuing performance of the cross-layer system with Space-time block code （STBC） over Multi- input-multi-output （MIMO） channel is analyzed. The Adaptive modulation and coding （AMC） in physical layer and finite length of buffer in data-link layer are combined with this model. A simple cross-layer design and the queue state process are proposed based on finite state 1V[arkov channel model~ which is to solve the service process. The proposed cross-layer design is also incorporated with STBC to further improve the system performance. Simulation results illustrate the dependence of system performance on various parameters, and quantify the performance gain due to cross-layer optimization. The adjustment of target packet loss rate of adaptive modulation coding in physi- cal layer can maximize average throughput of the system, meanwhile a significant improvement of the system perfor- mance is brought.     

面向可见光通信的硅基InGaN/GaN多量子阱波导定向耦合器光子集成芯片

利用可见光信号作为新型信息载体的光通信技术近些年来得到长足发展,为了开发新一代光子集成芯片作为可见光通信网络的终端器件,满足可见光信号发射、接收、传输与处理的复合需求,该文基于硅基InGaN/GaN多量子阱材料,设计了一种集成可见光波段微型发光二极管(LED)光源、波导定向耦合器、微型光电探测器于一体的光子集成芯片。该芯片利用InGaN/GaN多量子阱材料的发光探测共存现象,实现了上述复合功能。微型LED光源作为发射端,可以发射出蓝色波段的可见光信号,其发光强度受到注入电流的线性调制,可实现调幅可见光通信,适合作为可见光通信的发射端。微型LED光源发射的可见光信号传输进入波导定向耦合器,实现了片内有效传输耦合和光功率平均分配。经过耦合传输的可见光信号进入微型光电探测器,可以监测到与耦合传输的光信号强度相匹配的光电流。最后,可见光通信测试也表明该芯片可实现有效的可见光通信。该研究为发展面向可见光通信网络需求的复合功能光子集成芯片终端提供了更多可能性。     

基于矩生成函数的协同中继传输误符号率性能分析

多中继协同分集技术在慢衰落无线环境下可以提供巨大的性能增益。该文从接收端平均误符号率的角度,分析了独立的瑞利衰落信道下,采用放大转发的多中继协同最大比合并检测方案和多节点侦听,单中继转发的机会中继方案的性能;并基于矩生成函数推导出两种方案下M-PSK和M-QAM调制信号平均误符号率的闭合表达式。经蒙特卡罗仿真验证,该表达式在中高信噪比下与仿真的实际结果非常吻合。同时也可以看出机会中继的分集增益与协同侦听的节点数成正比,误符号率性能优于使用最大比合并检测的多中继协同方案。     

Implementation aspects for successive interference cancellation in DS/CDMA systems

This paper addresses the practical implementation of Successive Interference Cancellation (SIC) for DS/CDMA systems. The practical aspects of such an implementation are discussed and a convenient pipelined architecture is presented. An important aspect is the integration of power control (PC) and interference cancellation which has synergistic effects of optimizing the SIC, reducing intercell interference, and facilitating the implementation. This revised version was published online in July 2006 with corrections to the Cover Date.     

Weight sequential log-likelihood ratio detect algorithm with malicious users removing

Due to the openness of the cognitive radio network, spectrum sensing data falsification (SSDF) can attack the spectrum sensing easily, while there is no effective algorithm proposed in current research work, so this paper introduces the malicious users removing to the weight sequential probability radio test (WSPRT). The terminals' weight is weighted by the accuracy of their spectrum sensing information, which can also be used to detect the malicious user. If one terminal owns a low weight, it can be treated as malicious user, and should be removed from the aggregation center. Simulation results show that the improved WSPRT can achieve higher performance compared with the other two conventional sequential detection methods under different number of malicious users.     

自适应的多目标模拟退火优化算法(英文)

In recent years,simulated annealing algorithms have been extensively developed and utilized to solve multi-objective optimization problems.In order to obtain better optimization performance,this paper proposes a Novel Adaptive Simulated Annealing (NASA) algorithm for constrained multi-objective optimization based on Archived Multi-objective Simulated Annealing (AMOSA).For handling multi-objective,NASA makes improvements in three aspects:sub-iteration search,sub-archive and adaptive search,which effectively strengthen the stability and efficiency of the algorithm.For handling constraints,NASA introduces corresponding solution acceptance criterion.Furthermore,NASA has also been applied to optimize TD-LTE network performance by adjusting antenna parameters;it can achieve better extension and convergence than AMOSA,NSGAII and MOPSO.Analytical studies and simulations indicate that the proposed NASA algorithm can play an important role in improving multi-objective optimization performance.