Selection of Optimal Beam Forming Algorithm for Mobile Ad Hoc Networks

M. Tarique
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引用次数: 1

Abstract

Ad hoc networks have drawn considerable attentions of researchers for the last few years. Various applications of ad hoc networks have been reported in the literatures including disaster management, battle field, environmental management, healthcare, and smart grid. Ad hoc networks have some limitations namely short operating life, unreliability, scalability, delay, high interference, and scarce resources. In order to overcome these limitations, numerous researches have been carried out. Smart antenna integration is one of them. It has been shown in the literatures that smart antenna can improve network’s capacity, increase network lifetime, reduce delay, and improve scalability by directing antenna radiation pattern in a desired direction. But, producing a desired antenna radiation pattern is not a simple task for resource constraint ad hoc networks. A careful selection of beam forming algorithm is required. In this paper we show that smart antenna system, consisting of circular microstrip antennas and arranged in a linear arrangement, is the most suitable choice for ad hoc network. We compare a number of smart antenna algorithms in this paper under different noisy conditions. We show that the Least Square Constant Modulus (LSCM) and Least Constant Modulus (LCM) algorithms outperform other algorithms in terms of directivity and minimized side lobes.
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移动Ad Hoc网络最优波束形成算法的选择
近年来,自组织网络引起了研究者的广泛关注。文献中报道了自组织网络的各种应用,包括灾害管理、战场、环境管理、医疗保健和智能电网。自组织网络具有一些局限性,即运行寿命短、不可靠、可扩展性、延迟、高干扰和资源稀缺。为了克服这些局限性,人们进行了大量的研究。智能天线集成就是其中之一。文献表明,智能天线可以通过将天线辐射方向指向所需的方向来提高网络容量、延长网络寿命、减少延迟和提高可扩展性。但是,对于资源受限的自组织网络来说,产生所需的天线辐射方向图并不是一项简单的任务。需要仔细选择波束形成算法。在本文中,我们证明了由圆形微带天线组成并以线性排列的智能天线系统是最适合ad hoc网络的选择。我们比较了本文中在不同噪声条件下的一些智能天线算法。我们证明了最小二乘常模(LSCM)和最小常模(LCM)算法在方向性和最小化旁瓣方面优于其他算法。
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