干扰环境无线多跳传感网络中继算法研究

本文主要讨论了干扰环境下无线多跳网络特殊中继算法的设计与实现,这是由于目的是增强网络的整体抗干扰能力。中继算法通过一定准则,选择中继节点及发送功率等级,通过节点间协同通信增加网络端到端吞吐率,降低传输平均中断概率,提高网络性能。     

基于无线能量采集的多跳网络安全传输中的路径选择

针对具有无线能量采集技术的多跳传输网络,提出了全双工中继网络在有多个窃听者和多个功率节点场景下进行多跳多路径传输时的路径选择问题。首先,所提系统模型在有多个窃听者和功率节点的场景下进行信息传输,将源发射端和接收端之间的最佳路径作为数据传输路径。然后,为了增强系统性能,中继节点对功率节点发出的射频信号进行能量采集并利用所获能量来进行下一跳的数据传输。最后,推导出了所提路径选择方法在瑞利衰落信道下端到端中断概率的精确表达式,蒙特卡洛仿真和理论分析曲线拟合较好,说明了理论推导的正确性,以及所提方法具有性能上的优越性。     

一种结合拍卖的D2D协作通信中继选择算法

D2D协作通信技术可以满足提高蜂窝通信系统容量、扩大网络覆盖范围的通信需求。针对一些边缘用户受到信道衰落影响较大,从而影响用户的服务质量问题,提出了一种将拍卖原则引入D2D协作通信的中继选择算法。该算法首先在满足D2D通信要求和信噪比限制条件下得到中继备选集合;然后以优化链路吞吐量为目标选择最优中继节点;最后当两个或多个用户同时选中一个最优中继节点时,采用拍卖原则为D2D发射端分配最终中继。仿真结果表明,所提算法不仅有效地提高了吞吐量,同时保证了系统的中断概率。     

基于能量收集技术的无线协作网络中继选择

针对目前能量收集技术能够收集到的可用能量受限,导致无线协作网络中继节点处易出现能量短板的问题,为了避免整个网络因中继节点大量死亡而瘫痪,提出了一种基于能量收集技术的无线协作网络中继选择方案,即联合最大能量和最大数据传输链路的中继选择方案。首先,基于节点的能量收集状况,选出每跳中能量最大的节点进行解码转发;然后,结合每连续两跳的链路传输状态,选出与源节点和目的节点之间的数据传输信道最优者作为中继节点。结合Nakagami-m信道衰落模型,将该方案与随机选择方案、最大数据链路信道增益(MaDs)方案和基于中继-窃听链路最小信道增益(BNBF)方案进行对比分析,结果表明:在满足收集的能量足够用于下一时隙能量收集和数据传输的前提下,用于能量收集的比例越小,网络中断概率越小;联合最大能量和最大数据传输链路的中继选择方案在网络中断性能方面优于其他方案,其中断概率随信噪比的增大而减小,特别是当平均信噪比为38dB时,网络中断概率降到10^-5。     

基于部分信道信息的中继选择算法

提出了一种在放大转发协作网络中,基于部分信道信息的中继选择算法。与前人研究基于两跳瞬时信道信息的中继选择算法不同,所提的中继选择算法基于第1跳的瞬时信道信息和第2跳的统计信道信息,选择第1跳的瞬时信噪比和第2跳的统计平均信噪比乘积最大的中继节点。推导了该中继选择算法的中断概率,给出了中断概率的闭式表达。结合推导过程,进一步给出一种在已知第1跳信道信息条件下最小化系统后验中断概率的增强型选择算法。仿真结果验证了理论推导的正确性,同时表明所提算法的性能优于其他算法。     

OFDM协作通信中基于子载波映射的自适应传输策略

在放大转发的()FDM协作通信网络中,由于第一跳传输(源节点到中继节点)与第二跳传输(中继节点到目的节点)的信道存在独立性,因此合适的子载波映射策略可以有效地提高信道容量,但存在着低信噪比情况下性能恶化的问题。提出了一种基于子载波映射的自适应传输策略,它利用信道状态信息来调整系统的传输策略,从而使得端到端的系统容量最大化。仿真结果表明,经自适应传输模式调整后,系统的中断概率和误符号率下降,同时信道容量的性能也得到提升。     

双跳中继协作异构网络中断概率分析

基于最大-最大用户对级联(MM-UPA)准则,研究双跳中继协作异构网络的中断性能。借助随机几何和概率统计数学工具,将网络节点空间位置建模为齐次泊松点过程,以推导双跳中继协作异构网络中断概率的解析表达式。在此基础上,针对中断门限和偏置因子对系统中断概率的影响进行仿真与分析,结果表明,当系统部署MM-UPA方案时,增大第k(k≥2)层网络的偏置因子,能够有效降低第1层网络的中断概率,提高系统稳定性。此外,相比双跳网络,单跳网络的中断概率更小,系统稳定性更高。     

基于相对距离的D2D通信模式选择方案

D2D(Device-to-Device)通信技术是一种能够降低基站负载率和提高系统资源利用率的新型近场通信技术。本文根据D2D接收端与蜂窝端的相对距离关系,分别讨论了传统蜂窝系统以及引入中继技术后的模式选择问题,给出了一种基于蜂窝用户与D2D用户地理位置关系的模式选择方案。仿真数据验证了D2D系统采用复用模式的概率与设定的系统信干噪比阈值成反比关系,表明引入中继技术后的D2D系统采用复用模式的概率大大增加,意味着在混合网络中加入中继节点能够有效地提高系统的频谱利用率。     

改进的解码转发多跳中继系统及最优功率分配

多跳信道的中断性能较差,且节点接收设备上的多跳分集信道较为复杂。为此,基于解码转发多跳信道和多跳分集信道,提出一种改进的解码转发多跳中继系统,解决上述2种信道性能和复杂度的矛盾。推导中断概率的计算公式,以最小化系统中断概率为目标,利用拉格朗日乘子优化各节点的功率分配。仿真结果表明,改进系统能获得比传统多跳中继系统更低的中断概率,最优功率分配方案下系统的中断性能优于均匀功率分配方案,并且性能优势随跳数增加更为明显。     

改进的WiMAX中继选择算法研究

针对802.16j 的移动多跳中继网络提出一种基于路径损耗和SINR的中继选择算法。该算法通过计算每条传输链路的路径损耗,选出路径损耗之和最小的2个中继站,比较这2个中继站与移动终端之间接入链路的SINR,将具有最大接入链路SINR值的中继站作为最优中继来改善移动终端的服务质量。对系统性能指标进行仿真分析,结果表明该算法可以有效降低中断概率和提高网络的稳健性。     

基于路径中断概率的VANETs连接模型及性能分析

车载网VANETs（Vehicular Ad hoc Networks）在道路安全、车流量管理和娱乐应用具有广阔的前景,而这些应用依赖数据有效的传输。为此,VANETs的数据传输技术成为研究的焦点。然而,VANETs的拓扑动态变化、车辆快速移动加速了车间通信链路的断裂,降低了链路的可靠性,为数据有效传输提出了挑战。据此,分析了VANETs的多跳通信连接特性。通过研究端到端中断概率,提出多跳连接的分析模型。通过模型,可得出在一定的平均端到端中断概率所需的最小发射功率以及最大传输跳数。通过仿真,验证理论模型的正确性。仿真进一步表明,通过合适的功率控制算法有利于改善数据传输路径。     

Performance analysis of ad-hoc routing in heterogeneous clustered multi-hop wireless networks

This paper analyzes the performance of clustered decode-and-forward multi-hop relaying (CDFMR) wireless Rayleigh fading networks, and sheds light on their design principles for energy and spectral efficiency. The focus is on a general performance analysis (over all SNR range) of heterogeneous wireless networks with possibly different numbers of relays in clusters of various separations. For clustered multi-hop relaying systems, hop-by-hop routing is known as an efficient decentralized routing algorithm which selects the best relay node in each hop using local channel state information. In this article, we combine hop-by-hop routing and cooperative diversity in CDFMR systems, and we derive (i) a closed-form expression for the probability distribution of the end-to-end SNR at the destination node; (ii) the system symbol error rate (SER) performance for a wide class of modulation schemes; and (iii) exact analytical expressions for the system ergodic capacity, the outage probability and the achievable probability of the SNR (power) gain. We also provide simple analytical asymptotic expressions for SER and the outage probability in high SNR regime. Numerical results are provided to validate the correctness of the presented analyses.     

多跳协作分集系统的中断性能

推导了在高信噪比条件下解码转发(DF)多跳分集网络的中断概率近似表达式和分集度;针对解码转发多跳分集系统不能提供空间满分集这一缺点,提出改进的选择性解码转发(SDF)算法,当中继节点不能正确解码信息时,将由源节点重新发送信息;相应地推导了在高信噪比条件下SDF多跳分集系统中断概率表达式及分集度。通过理论分析及仿真结果表明,SDF能有效改善协作分集系统的传输性能,且能获得空间满分集增益。     

Analysis of transmission capacity for multi-mode D2D communication in mobile networks

Device-to-device (D2D) communication is one of the promising technologies in the 5th generation of wireless communication (5G). This paper investigates the achievable transmission capacity for multi-mode D2D communication. By utilizing stochastic geometry tools, we first provide the system model and derive the transmission capacity for two different sharing schemes of underlaying D2D mode. The first one is that each cellular spectrum can be reused by single D2D pair and the other one considers the multiple sharing among several D2D pairs with the same spectrum. In addition, we analyze the strategy for the optimal selection between both different sharing scenarios. Secondly, we analyze the transmission capacity for overlay D2D mode. Finally, with the optimal relay selection strategy, the maximization of transmission capacity for relay-assisted D2D communication is obtained under the constraint of minimum energy consumption. Furthermore, simulations are carried out and the results demonstrate the effectiveness and validity of our analysis.     

Optimal D2D power for secure D2D communication with random eavesdropper in 5G-IoT networks

In the rapidly evolving landscape of fifth generation Internet of Things (5G-IoT) networks, Device-to-Device (D2D) communication has emerged as a promising paradigm to enhance secrecy transmission rate (STR) and connectivity. However, the security of D2D communications in the presence of eavesdroppers remains a critical challenge. This article investigates the problem of optimizing D2D transmit power to achieve secure D2D communication while considering the presence of random eavesdroppers in 5G-IoT networks. We propose a novel secrecy-based power control approach (SRMWPCA) approach to model the random distribution of eavesdroppers in the network, taking into account their varying distances from D2D pairs and deliberately increasing interference at the eavesdropper's link. By leveraging tools from stochastic geometry, we derive an analytical expression for the secrecy transmission probability (STP), which quantifies the probability of eavesdroppers successfully decoding the D2D transmission. In this analysis, we have incorporated practical considerations such as channel fading, path loss, and interference from other devices. To enhance the security of D2D communication, we formulate an optimization problem to determine the optimal transmit power levels for D2D pairs, subject to constraints on the secrecy transmission probability and interference to the cellular network. We propose an efficient algorithm to find the power allocation that maximizes the secrecy outage performance while meeting these constraints. Simulation results demonstrate the effectiveness of the proposed approach in achieving secure D2D communication in 5G-IoT networks with random eavesdroppers. The performance of the proposed SRMWPCA approach improved by 23.25% and 20.9% compared with standard approaches in terms of the secrecy rate and throughput of the users from malicious attacks.     

Optimal algorithm for Multi-hop relay selection based on cognitive radio

Relay selection, also called opportunistic relay, is capable of fast narrowing the search scope, finding the optimal relays and achieving a better cooperative transmission. With the continuous expansion of network capacity, the coverage area and the participating relays, it is unwise to traverse all the nodes to select the best relay. An optimal scheme based on cognitive wireless multi-hop relay selection has been proposed in this study, in which a threshold value is set for the signal-to-interference-plus-noise ratio (SINR). Only when the SINR exceeds the threshold can the node be selected as the relay node. Because of the random distribution and geographical universality of the relay, the candidate relays would better be limited within a particular area. Then a model based on stochastic geometry is established to rapidly find the relay which meets the demand near optimally, without needing of the global channel state information of the network in advance. The simulation results show that the optimized scheme can reduce the searching time and improve the performance of the secondary transmission. In addition, theoretical formula of the outage probability and channel data transmission rate has also been derived and verified its effectiveness through simulation.

     

一种改进的自适应全双工中继系统中继策略

提出了一种基于源节点到中继节点(SR)信噪比门限和中继节点最小自干扰的全双工中继策略,并在此基础上与SR最大信噪比的全双工中继策略相结合,构建了一种改进的自适应全双工中继系统。在对等功率分配条件下使用DF协议转发时对自适应全双工中继系统的中断概率进行了分析,结果表明 与自适应半双工中继策略相比,提出的自适应全双工中继系统的中断概率更低。与基于SR最大信噪比的全双工中继策略相比,一般情况下,当SR信噪比系数较大时,自干扰信号也较强,此时所提自适应全双工中继系统采用基于SR门限和最小自干扰的中继策略,中断概率较低;而在自干扰信号较小的情况下,该自适应全双工中继系统将采用基于最大SR信噪比的全双工中继系统的中继策略,能维持较好的中断性能。     

基于机会式中继传输策略的安全性能分析

针对无线通信过程中信息被非法用户窃听的问题,提出一种基于最佳中继选择的安全传输策略。首先,在源节点处整合了预先设计的人工噪声与有用信息,通过最佳中继选择算法选择最佳中继对接收到的信息进行转发;其次,推导出系统的安全容量、中断概率以及拦截概率;最后,利用安全性与可靠性折中的性能来确定最佳的中继个数。理论分析和实验仿真结果表明,与传统没有加入人工噪声的系统模型相比,该系统的性能提升可以明显通过增加中继节点来实现。