Improved Multiobjective Optimization for Cellular Base Stations Positioning

نویسندگان

چکیده

This work presents improvements to a telecommunication service planning tool for optimal positioning of base stations presented in previous work. The uses propagation loss model based on the K-Nearest Neighborhoods classifier since its conception. original objective this is optimize transmitting towers frequencies 2.1 GHz and 2.6 given environment, maximizing coverage area. improvement proposed article includes optimization order meet maximum coverage, prioritizing locations considered most important. studied scenario campus Federal University Pará, with characteristics similar some cities Amazon region. analysis results was made by comparing power data received from measurement campaigns estimates obtained improved tool. methodology showed better than those study, both antennas time spent. We reduction up 72% calculate solution compared study.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Energy-Efficient and Fault-Tolerant Positioning of Multiple Base Stations

As the nodes have limited battery power in Wireless Sensor Networks (WSNs), energy efficiency and fault tolerance should be the two major issues in designing WSNs. However, previous studies on positioning base stations (BSs) in WSNs are focused on energy efficiency only. Yet, mission-critical applications like emergency medical care systems should be guaranteed continuous services considering f...

متن کامل

A Cellular Network Model with Ginibre Configurated Base Stations a Cellular Network Model with Ginibre Configurated Base Stations

Recently, stochastic geometry models for wireless communication networks have been attracting much attention. This is because the performance of such networks critically depends on the spatial configuration of wireless nodes and the irregularity of node configuration in a real network can be captured by a spatial point process. However, most analyses of such stochastic geometry models for wirel...

متن کامل

An Improved Clonal Algorithm in Multiobjective Optimization

In this paper, we develop a novel clonal algorithm for multiobjective optimization (NCMO) which is improved from three approaches, i.e., dynamic mutation probability, dynamic simulated binary crossover (D-SBX) operator and hybrid mutation operator combining with Gaussian and polynomial mutations (GP-HM operator). Among them, the GP-HM operator is controlled by the dynamic mutation probability. ...

متن کامل

Cellular Networks with α-Ginibre Configurated Base Stations

We consider a cellular network model with base stations configurated according to the α-Ginibre point process with α ∈ (0, 1], which is one of the determinantal point processes. In this model, we focus on the asymptotic behavior of the so-called coverage probability (or link success probability) as the threshold value tends to 0 and ∞, and discuss the Padé approximation of the coverage probabil...

متن کامل

Fair assignment of base stations in cellular networks

We address the problem of fair assignment of base station locations in a cellular network. We use the generalized α-fairness criterion, which encompasses the different notions of fairness: that of global, proportional, harmonic or max-min fairness in our study. We derive explicit expression for α-fair BS locations under ’large population’ limits in the case of simple 1D models. We show analytic...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Microwaves, Optoelectronics and Electromagnetic Applications

سال: 2021

ISSN: ['2179-1074']

DOI: https://doi.org/10.1590/2179-0742021v20i41309