Throughput Maximization in Cognitive Radio System with Transmission Probability Scheduling and Traffic Pattern Prediction

In this paper, we propose a novel transmission probability scheduling (TPS) scheme for the opportunistic spectrum access based cognitive radio system (OSA-based CRS), in which the secondary user (SU) optimally schedules its transmission probabilities in the idle period of the primary user (PU), to maximize the throughput of the SU over a single channel when the collision probability perceived by the PU is constrained under a required threshold. Particularly, we first study the maximum achievable throughput of the SU when the proposed TPS scheme is employed under the assumption that the distribution of the PU idle period is known and the spectrum sensing is perfect. When the spectrum sensing at the SU is imperfect, we thoroughly quantify the impact of sensing errors on the SU performance with the proposed TPS scheme. Furthermore, in the situation that the traffic pattern of the PU and its parameters are unknown and the spectrum sensing is imperfect, we propose a predictor based on hidden Markov model (HMM) for the proposed TPS scheme to predict the future PU state. Extensive simulations are conducted and show that the proposed TPS scheme with the HMM-based predictor can achieve a reasonably high SU throughput under the PU collision probability constraint even when the sensing errors are severe.     

投影光刻系统中的掩模硅片相关识别对准技术

分析图像相关识别中的纯相位匹配滤波器的模式识别方法,利用该滤波器的相关识别位图计算算法,及其所具有的相干峰尖锐特性与高度旋转敏感特性,分别求取得光刻套刻过程中,掩模板和硅片基板对准标记的相对平移坐标与旋转坐标的精密量化驱动值。将此算法的实施单元建立在一套成型的大面积投影光刻系统中,使得该系统的对位精度与对位效率显著地提高。     

Charge Transportation and Chirality in Liquid Crystalline Helical Network Phases of Achiral BTBT-Derived Polycatenar Molecules

First examples of multichain (polycatenar) compounds, based on the π-conjugated [1]benzothieno[3,2-b]benzothiophene unit are designed, synthesized, and their soft self-assembly and charge carrier mobility are investigated. These compounds, terminated by the new fan-shaped 2-brominated 3,4,5-trialkoxybenzoate moiety, form bicontinuous cubic liquid crystalline (LC) phases with helical network structure over extremely wide temperature ranges (>200 K), including ambient temperature. Compounds with short chains show an achiral cubic phase with the double network, which upon increasing the chain length, is at first replaced by a tetragonal 3D phase and then by a mirror symmetry is broken triple network cubic phase. In the networks, the capability of bypassing defects provides enhanced charge carrier mobility compared to imperfectly aligned columnar phases, and the charge transportation is non-dispersive, as only rarely observed for LC materials. At the transition to a semicrystalline helical network phase, the conductivity is further enhanced by almost one order of magnitude. In addition, a mirror symmetry broken isotropic liquid phase is formed beside the 3D phases, which upon chain elongation is removed and replaced by a hexagonal columnar LC phase.     

An Optically Pumped Far-Infrared Folded Mirror-Less Cavity

A compact and efficient mirror-less cavity is presented for an optically pumped 192-μm far-infrared laser. With a gold-coated mirror and 30°-inclined anti-reflection coated Ge plate serving as highly reflective mirrors, a folded mirror-less CH₃F cavity is achieved. Maximum energy of 0.72 mJ is obtained with the pump energy of 600 mJ, which gives an energy increment of 75% in comparison with the previous 1.85-m mirror-less system. The beam divergence angle of the FIR radiation from this folded mirror-less cavity is measured to be 14.2 mrad.     

Electrospinning Multilayered Scaffolds Loaded with Melatonin and Fe3O4 Magnetic Nanoparticles for Peripheral Nerve Regeneration

Peripheral nerve injury is a common clinical problem bringing heavy burden to patients, due to its high incidence and unsatisfactory treatment. Nerve guidance conduit (NGC) is a promising scaffold for peripheral nerve repair, and bioactive agents are applied for great functional recovery. Melatonin (MLT) and Fe₃O₄ magnetic nanoparticles (Fe₃O₄‐MNPs) are proven to inhibit oxidative stress, inflammation, and induce nerve regeneration. Herein, a multilayered composite NGC loaded with MLT and Fe₃O₄‐MNPs is designed for sequential and sustainable drug release, creating an appropriate microenvironment for nerve regeneration. The composite scaffold shows sufficient mechanical strength and biocompatibility in vitro, and evidently promotes morphological, functional, and electrophysiological recovery of regenerated sciatic nerves in vivo. This work proves that the multilayered conduits show great prospect in the long‐term nerve defects treatment due to easy manufacture and desired efficacy.     

Improving local minima of columnar competitive model for TSPs

The columnar competitive model (CCM) has been recently proposed to solve the traveling salesman problem. This method performs much better than the original Hopfield network in terms of both the number and the quality of valid solutions. However, the local minima is still an open unsolved issue. This paper studies the performance of the CCM and aims to improve its local minima problem. The contributions of this paper are: 1) it proves by mathematics that the CCM is hardly to escape from local minimum states in general; 2) an alternate CCM is presented based on a modified energy function so as to enhance the capability of the original CCM; 3) a new algorithm is proposed by combining the alternative CCM with the original one, which enables the network to have lower energy level when trapped in local minima, this makes the network to reach the optimal or near-optimal state quickly; 4) Simulations are carried out to illustrate the performance of the proposed method.     

A Multi-Radio Multi-Channel Assignment Algorithm Based on Topology Control and Link Interference Weight for a Power Distribution Wireless Mesh Network

Wireless Personal Communications - In this paper, a multi-radio multi-channel (MRMC) assignment algorithm based on topology control and link interference weight for power distribution wireless mesh...     

小型无人机发动机控制系统 CAN 总线通信技术

为了提高小型无人机发动机控制系统通信的实时性和可靠性,设计一种基于CAN总线通信的小型无人机机载设备通信系统.该系统采用响应式和分时式2种发送机制,设计一种基于PIC单片机的多ID CAN总线通信程序和同步时序,详细设计了发动机控制系统CAN总线通信的实现方法,并在发动机热试车和飞行试验中进行验证.试验结果表明:该系统设计合理,提高了发动机控制系统的通信速率,增强了抗干扰能力,满足发动机控制系统与机载各设备之间实时可靠通信的要求,可广泛应用在小型无人机通信系统中.     

宽带数字信道化接收机算法研究与硬件实现

对宽带数字信道化接收机进行了理论研究与硬件实现。该系统模型采用多相滤波结构,使用IFFT算法简化信道化多相滤波器结构与参数,并对各个信道进行下变频产生基带信号以便后续信号识别分析处理,信道化频带划分采用均匀且相邻信道50%交叠的方式。该系统硬件采用A/D转换芯片和FPGA芯片实现,A/D转换芯片完成宽带信号采集,FPGA芯片完成相关算法软件实现。该接收机结构具有设计灵活、实现简单、计算效率高、实时处理能力强、计算量低、FPGA硬件资源少等优点。     

A Policy-based Approach for Reconfiguration Management and Enforcement in Autonomic Communication Systems

This paper presents an overview of the policy-based reconfiguration management and enforcement for autonomic communication system platform (Pre-meacs). In contrast to existing management approaches, which require static priori policy configurations, policies are created dynamically. The proposed Pre-meacs framework creates new policies at runtime in response to the changing requirements. A hierarchical policy model is used to refine users and administrators’ high-level goals into low-level objectives. The new approach ensures the success of the reconfiguration through monitoring feedback. The main components of Pre-meacs framework for policy creation, storage, evaluation and enforcement are presented, and the procedures of Pre-meacs in networks reconfiguration management are also demonstrated. Illustrative example demonstrates the performance of the proposed framework.