Path Loss and Received Signal Power Profiling for Optimal Positioning of Access Point in Indoor WLAN

Author(s):  
Mahfuz Ullah ◽  
Shahrukh Hossain Rian ◽  
Abdullah Al Mamun ◽  
Showdipta Das Plabon ◽  
Shubhashis Paul
2020 ◽  
Vol 9 (2) ◽  
pp. 23 ◽  
Author(s):  
Rajorshi Biswas ◽  
Jie Wu

Cognitive radio (CR) technology is envisioned to use wireless spectrum opportunistically when the primary user (PU) is not using it. In cognitive radio ad-hoc networks (CRAHNs), the mobile users form a distributed multi-hop network using the unused spectrum. The qualities of the channels are different in different locations. When a user moves from one place to another, it needs to switch the channel to maintain the quality-of-service (QoS) required by different applications. The QoS of a channel depends on the amount of usage. A user can select the channels that meet the QoS requirement during its movement. In this paper, we study the mobility patterns of users, predict their next locations and probabilities to move there based on its history. We extract the mobility patterns from each user’s location history and match the recent trajectory with the patterns to find future locations. We construct a spectrum database using Wi-Fi access point location data and the free space path loss formula. We propose a machine learning-based mechanism to predict spectrum status of some missing locations in the spectrum database. We formulate a problem to select the current channel in order to minimize the total number of channel switches during a certain number of next moves of a user. We conduct an extensive simulation combining real and synthetic datasets to support our model.


Efficient resource allocation is an important process in any network to improve the capacity of a system. In cognitive radio network the resources are shared among licensed & unlicensed users. User is said to be in outage if it does not get required number of resources hence performance of the system gets affected. In this paper the outage probability in orthogonal frequency division multiple access (OFDMA) based cooperative cognitive radio network (CCRN) system is computed. Due to random user position different users require different number of resources. To determine this it is necessary to know the signal to interference ratio (SIR) experienced by the user. First we determine characteristic of interference to signal power ratio by using method of moments. Once the interference to signal power ratio is characterized, user is allocated a class number. Class number gives the number of subcarriers required by a user. For analysis purpose we use downlink in underlay mode with log normal shadowing and path loss exponent. This analysis helps in allocation of resources to the user depending on SIR experienced and outage behavior irrespective of user’s position.


2009 ◽  
Vol 62-64 ◽  
pp. 166-171
Author(s):  
J.O. Emagbetere ◽  
F.O. Edeko

The success of wireless local area networks (WLANs) has led to an intense interest among wireless engineers in understanding and predicting radio propagation characteristics within buildings. This paper present radio signal propagation measurement and modeling at 2.4GHz, within a building in the Faculty of Engineering, University of Benin. A base station built around SENAO access point, and a PA24 flat panel directional antenna of 19dBi gain and 17.50 beam-widths was setup for the experimentation. Signals were monitored from the fixed BS using LINKSYS, and NET STUMBLER version 4.0 software run on a Laptop. In this report, the effect of multi-path and delay spread was not considered. The result of the investigation revealed a significant attenuation of the radio signal within the small distance. A path loss exponent of 7.8 to 8.9 on the ground floor, and 2.9 to 5.2 for the 2nd floor were obtained for the period of investigation.


2021 ◽  
Vol 9 (1) ◽  
pp. 180-195
Author(s):  
Martha Fabiola Contreras Higuera ◽  
Juan Carlos Vesga Ferreira ◽  
José Antonio Vesga Barrera
Keyword(s):  

Objetivo: Proponer un modelo de optimización para la ubicación de AP en redes WLAN en ambientes Indoor. Metodología: Para su desarrollo se plantearon algoritmos que permiten estimar la probabilidad de corte, el área de cobertura y las coordenadas de ubicación de los AP en función de las dimensiones del escenario, la frecuencia y las condiciones del entorno, soportadas en el modelo de propagación Log-Normal Shadowing Path Loss. Resultados y Conclusiones: Con base en los resultados obtenidos se pudo evidenciar que el modelo propuesto arrojó excelentes resultados al determinar el área de cobertura, la probabilidad de corte para un 80%, la ubicación geográfica de los AP acorde con los parámetros establecidos en cada uno de los escenarios, motivo por el cual se recomendaría el uso del modelo en futuros trabajos de investigación relacionados con la temática objeto de estudio.


Author(s):  
Mutieb I. Al-Hmoudi ◽  
Rashid Saeed

The femtocell network is a new technology that uses the advantage of an Internet backbone to enhance the cellular coverage in residential or small business areas. However, due to the expected random deployment of the Femtocell Access Point (FAP), there is a strong probability of interference among the femtocell nodes and between the femtocells and the macrocell nodes. In this chapter, an interference enhancement for OFDMA systems is developed and designed for two tiered macro-femtocell networks. An adaptive power control is calculated based on selecting the minimum interference channel with the optimized channel gain. In the simulation a number of the FAPs, the distance between the macrocell and the femtocell, and the path loss between the macrocell node and the FAPs are used as design parameters. By using optimized power control performance enhancement the interference degradation ratio can be observed.


2016 ◽  
Vol E99.B (1) ◽  
pp. 87-94 ◽  
Author(s):  
Kenshi HORIHATA ◽  
Issei KANNO ◽  
Akio HASEGAWA ◽  
Toshiyuki MAEYAMA ◽  
Yoshio TAKEUCHI

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