无线网络中面向传输可靠性优化的资源分配研究

发布时间：2018-08-16 11:29

【摘要】：无线传感网络是近些年来迅速发展起来且备受重视的一种新型的无线网络,无线传感网络具有成本低,体积小和自组织等特点,通常将无线传感网络部署在条件比较恶劣的环境中,但由于传感节点具有较差的通信性能和有限的传输功率的特点,导致感知信息难以准确可靠的传回到汇聚节点或目的节点。在功率受限无线传感网络中,感知信息的快速传输和可靠的传输信息是两个至关重要的目标。然而,这两个目标又是相互矛盾的。通常,感知信息的快速传输在一定程度上会降低传输的可靠性,反之亦然,因此,感知信息传输速率和传输可靠性之间存在一个内在的折中优化的关系。从而在提高感知信息传输速率的同时,保证信息传输的可靠性成为无线传感网络中一项具有重大意义的研究工作。本文在充分分析国内外对无线传感网络的感知信息传输速率和传输可靠性研究现状基础上,研究了无线网络数据传输速率和传输可靠性的协同优化问题,主要研究内容和创新工作包括:(1)提出了在无线传感网络环境下的可靠性感知的网络效用最大化问题模型,即在目标项中新引入了错误概率函数和折中参数,通过调整折中参数,从速率效用和可靠性效用两方面折中优化网络性能。其次,运用对偶分解和次梯度下降法,设计了拥塞控制、码率控制和功率控制联合的跨层优化算法,实现速率效用和可靠性效用的协同跨层优化。再次,分析证明了所提算法的收敛性;最后,通过仿真验证了所提出算法的有效性和可行性。(2)研究了干扰受限场景下的速率和传输可靠性的协同跨层优化问题,在(1)的基础上,通过引入干扰,解决基于有干扰下的问题模型,使其更加贴近于实际的网络环境中的问题模型,同时,使问题模型的复杂度也有所增加。本章节通过WMMSE算法,经过一系列转化,将非凸问题转变为凸问题,然后利用乘子方向交替(ADMM)算法,通过引入辅助变量将问题进行分布式求解,同时将ADMM算法和对偶次梯度算法进行比较,最终通过仿真验证了分布式算法的收敛性以及验证了ADMM算法的优越性,并求出了基于有干扰的无线传感网速率-可靠性问题的全局最优解。(3)多输入多输出技术(MIMO)技术在数据传输可靠性和传输速率方面具有重要的研究意义,从而该研究点研究的是基于MIMO技术的数据传输速率和传输可靠性协同优化问题。通过MIMO技术的分集增益和复用增益来进行传输速率和可靠性的折中优化,其实质是对MIMO技术的分集增益和复用增益进行折中优化。在(2)的研究基础上,通过使用近似雅可比ADMM算法将问题进行分布式求解,通过仿真验证了随着天线数量的变化对传输速率和传输可靠性的影响。
[Abstract]:Wireless sensor network (WSN) is a new type of wireless network, which has been developed rapidly in recent years. It has the characteristics of low cost, small size and self-organization. The wireless sensor network is usually deployed in a bad environment, but the sensor nodes have the characteristics of poor communication performance and limited transmission power, so it is difficult to accurately and reliably send the sensing information back to the convergence node or the destination node. In power constrained wireless sensor networks, the fast transmission of perceptual information and reliable transmission of information are two important objectives. However, the two goals are contradictory. Generally, the fast transmission of perceptual information reduces the reliability of transmission to a certain extent, and vice versa. Therefore, there is an inherent compromise between the rate of perceived information transmission and the reliability of transmission. Therefore, while improving the rate of information transmission, ensuring the reliability of information transmission has become a significant research work in wireless sensor networks. In this paper, based on the analysis of the current research status of perceived information transmission rate and transmission reliability of wireless sensor networks at home and abroad, the cooperative optimization of data transmission rate and transmission reliability in wireless networks is studied. The main research contents and innovations are as follows: (1) the model of network utility maximization for reliability perception in wireless sensor network environment is proposed, that is, the error probability function and compromise parameter are introduced into the target term, and the compromise parameters are adjusted. The network performance is optimized from two aspects: rate utility and reliability utility. Secondly, using duality decomposition and subgradient descent, a cross-layer optimization algorithm of congestion control, bit-rate control and power control is designed to realize the collaborative cross-layer optimization of rate utility and reliability utility. Thirdly, the convergence of the proposed algorithm is proved by the analysis. Finally, the effectiveness and feasibility of the proposed algorithm are verified by simulation. (2) the collaborative cross-layer optimization problem of the rate and transmission reliability in the interference constrained scenario is studied. On the basis of (1), By introducing interference, the problem model based on interference is solved, which is closer to the problem model in the actual network environment. At the same time, the complexity of the problem model is also increased. In this chapter, the non-convex problem is transformed into a convex problem through a series of transformations by WMMSE algorithm, and then the problem is solved distributed by introducing auxiliary variables by using the (ADMM) algorithm in the direction of the multiplier. At the same time, the convergence of the distributed algorithm and the superiority of the ADMM algorithm are verified by comparing the ADMM algorithm with the dual subgradient algorithm. The global optimal solution of rate-reliability problem in wireless sensor networks with interference is obtained. (3) Multi-input and multi-output (MIMO) technology is of great significance in data transmission reliability and transmission rate. Therefore, the research point is the cooperative optimization of data transmission rate and transmission reliability based on MIMO technology. The tradeoff between transmission rate and reliability is achieved by using diversity gain and multiplexing gain of MIMO technology, which is essentially a compromise between diversity gain and multiplexing gain of MIMO technology. Based on the research of (2), the problem is solved distributed by using approximate Jacobian ADMM algorithm, and the effect of antenna number on transmission rate and transmission reliability is verified by simulation.
【学位授予单位】：浙江理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP212.9;TN929.5

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