利用田口的方法优化下一代HetNet基于comp的蜂窝网络设计及其无线网络参数

Q4 Mathematics
Sarosh K. Dastoor, U. Dalal, J. Sarvaiya
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引用次数: 2

摘要

异构网络(HetNet)是由具有不同网络拓扑结构的可变蜂窝维度组成的复杂网络。一个不稳定的网络设计是没有价值的、没有生产力的和昂贵的。研究论文描述了多点传输的协调,其中传输基站(BS)的集合在它们之间动态地协调它们的传输,增强了对边缘用户的覆盖。所提出的蜂窝规划策略使用在要确定尺寸的给定区域中形成集群的可变半径蜂窝。对于给定的簇,计算了两个小区之间的最小距离(dmin),并使用所提出的(1/3 dmin)标注技术,确定了簇中小区的覆盖半径,形成了HetNet。通过优化网络;覆盖范围、成本和能量需求可以最小化,并且网络性能参数(如天线的发射功率、倾斜和方位角)与小区半径的优化提供了网络的成本高效部署。本文利用田口方法——一种软计算方法——提出了HetNet设计的数学尺寸模型及其性能参数。将所提出的方法与用于确定网络尺寸的传统恒定半径方法进行了比较。与恒定半径蜂窝规划策略相比,发射所需的总功率大幅降低了22.7%。此外,所提出的方法的吞吐量比恒定半径方法高41.5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimisation of CoMP-based cellular network design and its radio network parameters for next generation HetNet using Taguchi's method
A heterogeneous network (HetNet) is a complex network made of variable cellular dimensions with different network topology. An erratic network design is valueless, unproductive and expensive. Research paper describes coordination of multipoint transmission, in which a collection of transmitting Base Stations (BS) dynamically harmonises their transmission among themselves, enhancing the coverage to the edge users. The proposed cellular planning strategy uses variable radii cells forming a cluster in a given region to be dimensioned. For a given cluster, minimum distance (dmin) between two cells has been calculated and using proposed (1/3 dmin) dimensioning technique, the coverage radius of cells in a cluster is made, forming a HetNet. By optimising the network; coverage, cost and energy requirements could be minimised and optimisation of network performance parameters like transmission power, tilt and azimuth angle of antenna with the radius of cell provides cost-efficient deployment of a network. The research paper proposes the mathematical dimensioning model for the design of a HetNet as well as its performance parameters using Taguchi's method – a soft computing approach. The proposed approach has been compared with the conventional constant radius approach for dimensioning a network. The total power required to transmit has been drastically reduced by 22.7% as compared to constant radius cellular planning strategy. In addition, throughput of the proposed method was found to be 41.5% higher than the constant radius approach.
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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
23
期刊介绍: IJICA proposes and fosters discussion on all new computing paradigms and corresponding applications to solve real-world problems. It will cover all aspects related to evolutionary computation, quantum-inspired computing, swarm-based computing, neuro-computing, DNA computing and fuzzy computing, as well as other new computing paradigms
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