Academic literature on the topic 'Indoor/outdoor path loss models'

In this paper, the influence of rainfall on the deployment of UAV as an aerial base station in the Malaysia 5G network is studied. The outdoor-to-outdoor and outdoor-to-indoor path loss models are derived by considering the user’s antenna height, rain attenuation, and the wall penetration loss at high frequencies. The problem of finding the UAV 3D placement is formulated with the objective to minimize the total path loss between the UAV and all users. The problem is solved by invoking two algorithms, namely Particle Swarm Optimization (PSO) and Gradient Descent (GD) algorithms. The performance of the proposed algorithms is evaluated by considering two scenarios to determine the optimum location of the UAV, namely outdoor-to-outdoor and outdoor-to-indoor scenarios. The simulation results show that, for the outdoor-to-outdoor scenario, both algorithms resulted in similar UAV 3D placement unlike for the outdoor-to-indoor scenario. Additionally, in both scenarios, the proposed algorithm that invokes PSO requires less iterations to converge to the minimum transmit power compared to that of the algorithm that invokes GD. Moreover, it is also observed that the rain attenuation increases the total path loss for high operating frequencies, namely at 24.9 GHz and 28.1 GHz. Hence, this resulted in an increase of UAV required transmit power. At 28.1 GHz, the presence of rain at the rate of 250 mm/h resulted in an increase of UAV required transmit power by a factor of 4 and 15 for outdoor-to-outdoor and outdoor-to-indoor scenarios, respectively.

The millimeter-wave (mmWave) is expected to deliver a huge bandwidth to address the future demands for higher data rate transmissions. However, one of the major challenges in the mmWave band is the increase in signal loss as the operating frequency increases. This has attracted several research interests both from academia and the industry for indoor and outdoor mmWave operations. This paper focuses on the works that have been carried out in the study of the mmWave channel measurement in indoor environments. A survey of the measurement techniques, prominent path loss models, analysis of path loss and delay spread for mmWave in different indoor environments is presented. This covers the mmWave frequencies from 28 GHz to 100 GHz that have been considered in the last two decades. In addition, the possible future trends for the mmWave indoor propagation studies and measurements have been discussed. These include the critical indoor environment, the roles of artificial intelligence, channel characterization for indoor devices, reconfigurable intelligent surfaces, and mmWave for 6G systems. This survey can help engineers and researchers to plan, design, and optimize reliable 5G wireless indoor networks. It will also motivate the researchers and engineering communities towards finding a better outcome in the future trends of the mmWave indoor wireless network for 6G systems and beyond.

D-band (110–170 GHz) has received much attention in recent years due to its larger bandwidth. However, analyzing the loss characteristics of the wireless channel is very complicated at the millimeter-wave (MMW) band. Research on D-band wireless channels has been focused on indoor short-distance transmissions, with few studies looking at outdoor long-distance wireless channels. In this paper, we provide the design of the D-band outdoor long-distance transmission system, propose the outdoor line-of-sight (LOS) propagation measurements, and study the outdoor D-band propagation loss characteristics with distances up to 800 m. The path loss model uses the Floating Intercept (FI) and the Close-In (CI) model is established based on the least square method. In the CI model, the path loss exponent is greater than 2 and increases with frequency, while in the FI model, the path loss exponent has no apparent frequency dependence. The results show that D-band path loss in long-distance outdoor scenarios is greater than that in free space, indicating that the propagation condition is worse than in free space. The results show that both models have similar performance. Under this basis, the model with the smallest number of parameters would be the optimal choice. In addition, these results prospectively provide a theoretical model for designing and optimizing high frequency mm-wave propagation measurements at a distance of 200 m and beyond.

Today, through the monitoring of agronomic variables, the wireless sensor networks are playing an increasingly important role in precision agriculture. Among the emerging technologies used to develop prototypes related to wireless sensor network, we find the Arduino platform and XBee radio modules from the DIGI Company. In this article, based on field tests, we conducted a comparative analysis of received strength signal intensity levels, calculation of path loss with “log-normal shadowing” and free-space path loss models. In addition, we measure packet loss for different transmission, distances and environments with respect to an “Arduino Mega” board, and radio modules XBee PRO S1 and XBee Pro S2. The tests for the packet loss and received strength signal intensity level show the best performance for the XBee Pro S2 in the indoor, outdoor, and rural scenarios.

This letter presents an analysis of the radio propagation channel based on measurements at the 3.5 GHz frequency. The measurement campaigns were carried out inside the Valde-Cans airport using line-of-sight (LOS) transmissions. First, the channel small-scale dispersion parameters were extracted through channel probing and the results are similar to those obtained by ITU-R P.1238 for the bands below 15 GHz considering commercial indoor environments as well as for those using the 3.5 GHz band in outdoor environments utilizing WiMax OFDM-256 signals. Then, the floating-intercept (FI) and close-in (CI) models are applied and analyzed to evaluate the received signal behavior for co-polarized and cross polarized antennas. The results show that the CI path loss exponent values are close to the free space propagation loss model, while the FI model provides a lower root mean square error (RMSE) to the measured data. The results show that the FI and CI models are suitable for large-scale indoor propagation loss modeling for 5G networks with a frequency of 3.5 GHz.

Deep knowledge of how radio waves behave in a practical wireless channel is required for the effective planning and deployment of radio access networks in outdoor-to-indoor (O2I) environments. Using more than 400 non-line-of-sight (NLOS) radio measurements at 3.5 GHz, this study analyzes and validates a novel O2I measurement-based path loss prediction narrowband model that characterizes and estimates shadowing through Kriging techniques. The prediction results of the developed model are compared with those of the most traditional assumption of slow fading as a random variable: COST231, WINNER+, ITU-R, 3GPP urban microcell O2I models and field measured data. The results showed and guaranteed that the predicted path loss accuracy, expressed in terms of the mean error, standard deviation and root mean square error (RMSE) was significantly better with the proposed model; it considerably decreased the average error for both scenarios under evaluation.

Abstract The global shortage of bandwidth prompted wireless carriers to move towards millimeter wave frequencies (mm-wave), a frequency spectrum that is underutilized by broadband communications networks. Despite the large number of studies and researches on the issue of millimeter wave propagation in outdoor and indoor environments, specifically environments with high population density, the issue of millimeter wave propagation in those environments remains somewhat ambiguous. For the exact purpose of the design and operation of the fifth-generation networks operating within the millimeter frequency spectrum, it has become necessary to obtain information about the wave propagation within those different environments. This paper presents a description of the wave propagation parameters and channel modeling prepared by several international groups, such as line and non-line of-sight (LOS & NLOS) probabilities and different propagation models to understand the mechanism of wave propagation within the millimeter range (0.5–70 GHz). This paper deals with simulating radio wave propagation in favour of different outdoor scenarios, calculating the path loss in several models and determining which models are most appropriate and best for certain environments.

Facilitating newer bands of ‘unused’ segments (windows) of RF spectrum falling in the mm-wave range (above 30+ GHz) and seeking usable stretches across unallocated THz spectrum, could viably be considered for Multiple Input Multiple Output (MIMO) communications. This could accommodate the growing needs of multigigabit 3G/4G applications in outdoor-based backhauls in picocellular networks and in indoor-specific multimedia networking. However, in contrast with cellular and Wi-Fi, wireless systems supporting sub-mm wavelength transreceive communications in the outdoor electromagnetic (EM) ambient could face “drastically different propagation geometry”; also, in indoor contexts, envisaging pertinent spatial-multiplexing with directional, MIMO links could pose grossly diverse propagation geometry across a number of multipaths; as such, channel-models based on stochastic features of diverse MIMO-specific links in the desired test spectrum of mm-wave/THz band are sparsely known and almost non-existent. To alleviate this niche, a method is proposed here to infer sub-mm band MIMO channel-models (termed as “prototypes”) by judiciously sharing “similarity” of details available already pertinent to traditional “models” of lower-side EM spectrum, (namely, VLF through micro-/mm-wave). Relevant method proposed here relies on the “principle of similitude” due to Edgar Buckingham. Exemplar set of “model-to-(inferential)-prototype” transformations are derived and prescribed for an exhaustive set of fading channel models as well as, towards estimating path-loss of various channel statistics in the high-end test spectrum.

The performance of two-hop contention based bandwidth request (BR) mechanism for WiMAX relay networks is investigated under ITU-R path loss models. In conventional WiMAX systems, the mobile stations (MS) update their contention window irrespective of their transmission failures. Those systems update their contention window on collision and due to channel error or unavailability of bandwidth. Further, these failure models have been suggested for single hop networks. The failure model in two-hop systems becomes complex since it may include additional failure events such as improper detection of codes and channel error due to varying path loss. Interestingly, these failure events (collision, channel error, unavailability of bandwidth, and improper detection of codes) do not occur evenly for both hops of a link. Hence, to set the contention window effectively, unique failure models are developed by considering the characteristics of BR mechanism and hop at which the BR is performed. In the proposed system, the two-hop BR is carried out with all combinations of message and code bandwidth request schemes. Among them, the message-code BR mechanism performs better under suburban fixed and outdoor to indoor or pedestrian environment, and code-code BR scheme performs better for vehicular environment.

At present, the current 4G systems provide a universal platform for broadband mobile services; however, mobile traffic is still growing at an unprecedented rate and the need for more sophisticated broadband services is pushing the limits on current standards to provide even tighter integration between wireless technologies and higher speeds. This has led to the need for a new generation of mobile communications: the so-called 5G. Although 5G systems are not expected to penetrate the market until 2020, the evolution towards 5G is widely accepted to be the logical convergence of internet services with existing mobile networking standards leading to the commonly used term “mobile internet” over heterogeneous networks, with several Gbits/s data rate and very high connectivity speeds. Therefore, to support highly increasing traffic capacity and high data rates, the next generation mobile network (5G) should extend the range of frequency spectrum for mobile communication that is yet to be identified by the ITU-R. The mm-wave spectrum is the key enabling feature of the next-generation cellular system, for which the propagation channel models need to be predicted to enhance the design guidance and the practicality of the whole design transceiver system. The present work addresses the main concepts of the propagation channel behaviour using ray tracing software package for simulation and then results were tested and compared against practical analysis in a real-time environment. The characteristics of Indoor-Indoor (LOS and NLOS), and indoor-outdoor (NLOS) propagations channels are intensively investigated at four different frequencies; 5.8 GHz, 26GHz, 28GHz and 60GHz for vertical polarized directional, omnidirectional and isotropic antennas patterns. The computed data achieved from the 3-D Shooting and Bouncing Ray (SBR) Wireless Insite based on the effect of frequency dependent electrical properties of building materials. Ray tracing technique has been utilized to predict multipath propagation characteristics in mm-wave bands at different propagation environments. Finally, the received signal power and delay spread were computed for outdoor-outdoor complex propagation channel model at 26 GHz, 28 GHz and 60GHz frequencies and results were compared to the theoretical models.

L’évolution constante des technologies sans fil telles que le Wi-Fi, les normes de réseaux mobiles ou d’objets connectés, a donné naissance à de nouvelles applications et usages. Les possibilités offertes par cette multitude d’alternatives sont exploitées par les réseaux sans fil hétérogènes qui, en combinant au sein d’un réseau unique plusieurs technologies, permettent aux utilisateurs d’accéder à des services complémentaires de façon transparente. Cependant, pour bénéficier pleinement de ces avantages, plusieurs défis techniques sont à relever. L’un d’eux est relatif au déploiement de ces réseaux multi- technologies. En pratique, cette tâche s’appuie sur des règles et outils d’ingénierie afin de réaliser une planification optimale. Dans ce contexte, un objectif de la thèse a été d’établir des modèles sur lesquels peuvent se baser les outils d’ingénierie radio afin d’optimiser le déploiement de réseau locaux sans fil multi- technologies.Il s’agit principalement de calibrer des modèles de propagation pour l’estimation de couverture radio en environnement indoor résidentiel entre 800 MHz et 60 GHz; d’établir un modèle de débit pour l’estimation de capacité Wi-Fi en fonction du trafic montant et descendant; et de concevoir un modèle de résolution multi-objectif pour optimiser le positionnement de points d’accès opérant à 5 et 60 GHz. En complément, cette thèse a également proposé des recommandations pratiques visant à placer au mieux les points d’accès en phase de déploiement. Cela s’est fait par le biais d’études de sensibilité de couverture à divers facteurs, tels que l’environnement immédiat de l’émetteur ou encore la présence de personnes faisant obstruction<br>The constant evolution of wireless technologies such as Wi-Fi, mobile networks standards or IoT, has given rise to new applications and usages. The possibilities offered by this multitude of alternatives are exploited by heterogeneous wireless networks which, by combining within a single network several technologies, provide the users with a seamless access to complementary services. However, to take full advantage of these benefits, there are several technical issues to address. One of them is related to the deployment of these multi-technology networks. In practice, this task relies, most of the time, on radio network design software to achieve optimal planning. In such context, the main objective of this thesis is to establish models which can be used by radio network planning tools in order to the deployment of multi-technology wireless local area networks. This task has involved calibrating propagation models for radio coverage estimation, in residential indoor environments from 800 MHz to 60 GHz; developing a throughput model for Wi-Fi capacity estimation based on uplink and downlink traffic; and establishing a multi- objective resolution model to optimize the positioning of access points operating at 5 and 60 GHz. Moreover, this thesis also proposes practical recommendations for a better positioning of access points during deployment phases. This task has been achieved through coverage sensitivity studies to various factors, such as the transmitter surroundings or the presence of obstructing people

The dissertation concerns about the path loss calculation of Radio Frequency (RF) propagation models for 4G Long Term Evolution (LTE) Network to prefer the best Radio Frequency propagation model. The radio propagation models are very significant while planning of any wireless communication system. A comparative analysis between radio propagation models e.g. SUI model, Okumura model, Cost 231 Hata Model, Cost 231-Walfisch Ikegami and Ericsson 9999 model that would be used for outdoor propagation in LTE. The comparison and performance analysis has been made by using different geological environments e.g. urban, sub-urban and rural areas. The simulation scenario is made to calculate the lowest path loss in above defined environments by using selected frequency and height of base station antennas while keeping a constant distance between the transmitter and receiver antennas.<br>Asad Saeed C/O Muhammad Awais Hovslagargatan 47 LGH 1004 19431 Stockholm Sweden Mob: 0046723333734

This paper deals with the propagation of waves. Here is the wavelength distribution according to the wavelength. It focuses on the UHF and SHF band in which IEEE802.11n operates. Contains model breakdown by cell type. Describes which propagation methods are dominant in the cell type. Several propagation patterns are presented, which are then modeled in Matlab environment.The models are then compared to experimental measurements.

Yes<br>A modified indoor path loss prediction model is presented, namely Effective Wall Loss Model (EWLM). The modified model is compared to other indoor path loss prediction models using simulation data and real-time measurements. Different operating frequencies and antenna polarizations are considered to verify the observations. In the simulation part, EWLM shows the best performance among other models as it outperforms two times the dual slope model which is the second-best performance. Similar observations were recorded from the experimental results. Linear attenuation and one slope models have similar behaviour, the two models parameters show dependency on operating frequency and antenna polarization.<br>The full-text of this article will be released for public view at the end of the publisher embargo on 3 Oct 2018.

Kriging is proposed as a tool for Wi-Fi signal strength estimation for complex indoor environments. This proposal is based on two studies suggesting that kriging might be suitable for this application. Both of these studies have shortcomings in supporting this proposal, but their results encourage a more in depth investigation into this. Even though kriging is a geostatistical method developed for geographical interpolation, it has been used successfully in a wide range of other applications as well. This further suggests that kriging might be a versatile method to overcome some of the difficul- ties of existing signal strength estimation methods. Two main types of signal strength estimation are deterministic methods and empirical methods. Deterministic methods are generally very complex and requires input parameters that are difficult to obtain. Empirical methods are known to have low accuracy which makes them unreliable for practical use. Three main investigations are presented in order to evaluate the use of kriging for this application. A sampling plan is proposed as part of a generic application protocol for the practical use of kriging for Wi-Fi signal strength. It is concluded that kriging can be conffidently used as an estimation technique for Wi-Fi signal strength in complex indoor environments. Kriging is recommended for practical applications, especially where in- sufficient information is available about a building or where time consuming site surveys are not feasible.<br>MIng (Computer and Electronic Engineering), North-West University, Potchefstroom Campus, 2015

Στις σύγχρονες τηλεπικοινωνίες, χρησιμοποιείται μια μεγάλη γκάμα από RF μοντέλα, για τον υπολογισμό την μέσης τιμής ισχύος του σήματος εκπομπής για δεδομένη απόσταση από τον πομπό και για δεδομένη συχνότητα. Στις διεργασίες αυτές , επιδρούν στο δικό τους βαθμό διάφορες παράμετροι τοπολογικού (πληθυσμός , τύπος εμποδίων, πυκνότητα εμποδίων) και γεωγραφικού (μορφολογία εδάφους, υγρασία, διαμόρφωση χώρου) χαρακτήρα, αλλά και χαρακτηριστικά των πομποδεκτών ( συνήθως το ύψος και το κέρδος των κεραιών). Στις περισσότερες περιπτώσεις οι απώλειες όδευσης (Path Loss όπως είναι γνωστές στη διεθνή βιβλιογραφία) , εκφράζονται σε dB , σα συνάρτηση της συχνότητας λειτουργίας του υπό μελέτη συστήματος και της απόστασης ανάμεσα στον πομπό και το δέκτη ( πάντα για δεδομένα χαρακτηριστικά κεραιών και τύπο περιβάλλοντος). Έτσι μια ντετερμινιστική γνώση του μέσου path loss, που σε συνδυασμό με άλλες πιθανές απώλειες μας δίνει το σύνολο των απωλειών είναι εφικτή. O περιορισμός όσον αφορά στη συχνότητα και στις αποστάσεις , έχουν οδηγήσει τη σύγχρονη έρευνα στην επέκταση των υπαρχόντων μοντέλων , τόσο εξωτερικού όσο και εσωτερικού χώρου. Μια βασική παράμετρος της έρευνας στηρίζεται στην παραδοχή πως ο νόμος του αντιστρόφου τετραγώνου , ο οποίος περιγράφεται από την εξίσωση του Friis δε βρίσκει εφαρμογή, παρά μόνο σε περιβάλλοντα όπου επιτυγχάνεται LOS( Line of Sight) όδευση. Η τροποποίηση της παραπάνω εξίσωσης με δυναμικό ως προς το εκάστοτε περιβάλλον τρόπο , επιτρέπει πλέον τον υπολογισμό της μέσης ισχύος του σήματος σε σχετικά ρεαλιστικό βαθμό. Για παράδειγμα έχει προταθεί τροποποίηση με την τρίτη δύναμη της απόστασης για ένα σύνολο εφαρμογών , που αφορούν συστήματα ασυρμάτων τηλεπικοινωνιών εξωτερικού περιβάλλοντος.Ένα εσωτερικό περιβάλλον απαιτεί μια πολύ πιο ντετερμινιστική φόρμουλα υπολογισμού των απωλειών ώστε να μπορέσει ο μελετητής να υπολογίσει με αξιοπιστία την ισχύ του σήματος σε μια δεδομένη θέση. Η ακρίβεια λοιπόν των μοντέλων εξαρτάται άμεσα από την ικανότητά τους να απεικονίσουν και να αποδώσουν με τη σειρά τους , μέσω των υπολογισμών, όλα αυτά τα σύνθετα φαινόμενα με τον καλύτερο δυνατό τρόπο. Η πλειοψηφία των RF μοντέλων που αναπτύσσονται στα πλαίσια ακόλουθων παραγράφων, έχει αναπτυχθεί και αξιολογηθεί για συστήματα κυτταρικής κινητής τηλεφωνίας (GSM, PCS-1800, GPRS, UMTS). Προκειμένου να ξεπεραστούν διάφοροι περιορισμοί των αρχικών μοντέλων ως προς την συχνότητα λειτουργίας του συστήματος και την απόσταση πομπού-δέκτη (ουσιαστικά την εμβέλεια του μοντέλου), ορισμένες προεκτάσεις έχουν παρουσιαστεί σε διάφορες ερευνητικές εργασίες και χρησιμοποιούνται ευρέως . Ορισμένα νέα μοντέλα έχουν επίσης προστεθεί στα ήδη υπάρχοντα για τις συχνότητες συστημάτων κινητής τηλεφωνίας . Για άλλες περιοχές συχνοτήτων με έντονο ενδιαφέρον, πχ στα 5,2 GHz, διάφορες προτάσεις έχουν πραγματοποιηθεί, συχνά υποστηριζόμενες από μετρήσεις. Λαμβάνοντας υπόψη την συχνότητα των 2,4 GHz, δεν μπορούμε παρά να συμπεράνουμε ότι η όσο το δυνατόν πιο ακριβής και επιστημονικά αξιόπιστη μοντελοποίηση του ασύρματου διαύλου, ιδιαίτερα – άλλα όχι αποκλειστικά – για τοπολογίες εσωτερικών χώρων, είναι πολύ σημαντική για τον σχεδιασμό και την εύρυθμη λειτουργία των Wi-Fi συστημάτων και των WLAN δικτύων. Παρόλα αυτά, αν και στην υπάρχουσα βιβλιογραφία και στην διεθνή επιστημονική και ερευνητική κοινότητα υπάρχουν αρκετά σημαντικές εργασίες για την μοντελοποίηση του ασύρματου διαύλου στα 2,4 GHz , εντούτοις απουσίαζε, για πολύ καιρό, μία ολοκληρωμένη συγκριτική αντιπαραβολή και αξιολόγηση των βασικών θεωρητικών μοντέλων για τον υπολογισμό της μέσης απώλειας οδεύσεως στη συγκεκριμένη συχνότητα. Στα πλαίσια της εργασίας αυτής , θα προσπαθήσουμε να αξιοποιήσουμε το σύνολο των μετρήσεων και των δεδομένων που συλλέξαμε , σε ρεαλιστικές συνθήκες και για πραγματικά συστήματα μετάδοσης , τόσο να αξιολογήσουμε τα ήδη υπάρχοντα RF μοντέλα , όσο και να προβούμε στις απαραίτητες προτάσεις και τροποποιήσεις όπου αυτό κριθεί σκόπιμο. Επίσης για τη σκίαση επιχειρούμε εδώ μια προσέγγιση υπολογισμού μέσω της χρήσης των RF μοντέλων και την ενσωμάτωση όλων των χαρακτηριστικών διάδοσης , που αφορούν και στα δύο στοιχεία των μεγάλης κλίμακας διαλείψεων. Οι μετρήσεις μέσης λαμβανόμενης ισχύος πραγματοποιήθηκαν σε πέντε διαφορετικές τοπολογίες. Σε κάθε μία από αυτές τις τοπολογίες ελήφθησαν μετρήσεις της μέσης λαμβανόμενης ισχύος σε διάφορες δειγματοληπτικές αποστάσεις πομπού-δέκτη ούτως ώστε να είναι εφικτή, με έναν υψηλό βαθμό αξιοπιστίας, η αξιολόγηση των βασικών μοντέλων απωλειών οδεύσεως. Ταυτόχρονα, μέσα από αυτή την διαδικασία, αξιολογήθηκε η αξιοπιστία των μοντέλων αναφορικά με τις ιδιαιτερότητες της κάθε τοπολογίας, που αποτυπώνονται ποιοτικά και ποσοτικά στους μηχανισμούς διάδοσης του ραδιοσήματος σε κάθε περίπτωση.<br>In modern wireless communications, a wide range of RF models are used to provide the median (average) value of the signal strength at a given distance from the transmitter and for a given frequency spectrum. In this procedure, certain geographical (ground, humidity, terrain irregularities), topological (heavy or scattered population, type of obstacles, density of the buildings) characteristics of the area, as well as certain specifications of the transmitter and receiver antennas (most notably antenna height and antenna gain) have to be taken into consideration. In most cases, the mean value of the path loss is expressed in dB in dependence with the frequency of the operating system and the distance between the transmitter and the receiver (for given antenna characteristics and a certain type of environment where the system operates). Thus, a deterministic knowledge of the average path loss (which along with the average rain loss and diffraction loss provides the overall propagation loss in dB) is available. However, distance and frequency limitations have led research to a further study and expanding of the existing empirical and semi-empirical models , for both outdoor and indoor scenarios. A fundamental parameter-based study of the path loss models is based on the concept that the second power law that is predicted by the Friis equation does not apply in real-life scenarios except for standard LOS paths. The modified power law research allows engineers and scholars to calculate the mean received power of a signal transmitted over a wireless link in a more realistic approach. It has been suggested that the third-power law is more suitable for a plethora of applications based on wireless communications for an outdoor environment.The indoor propagation channel, in particular, demands a lot more than a deterministic formula of calculating the average signal strength as a function of distance and frequency. The increased impact of multipath and other propagation phenomena such as reflection and scattering, as well as the existence of many objects whose proportions are comparatively close to the wavelength of the operating wireless systems, render the propagation of a signal and its arrival at a receiver (mobile or fixed) a rather complex procedure. The precision of the path loss models depends heavily on their ability to demonstrate and reflect, in the calculations, these complex phenomena to the best possible way .The majority of these models have been developed and validated for mobile telephony systems in both outdoor and indoor schemes (GSM, PCS-1800, GPRS, UMTS). Certain extensions of many of these models were conducted in order to expand the frequency and distance limitation of the original formulas. New empirical models have also been suggested for these certain frequencies .Taking into account the very sensitive and subject to many different factors nature of the indoor propagation channel, it is easily concluded that both researchers in academia and engineers in industry need to have reliable models that will predict precisely the average path loss over the indoor 2.4 GHz channel which is of utter importance as the de facto frequency of Wi-Fi and WLAN systems. A gap in aforementioned research, however, is that it either concentrates on multipath parameters or does not feature a full comparative validation of most well-known indoor path loss models.The purpose of this work is to present, all the data collected through experiments in realistic conditions and real telecom systems, in order to validate and modify (where necessary) the existing RF models. Furthermore an empirical formula to measure attenuation due to shadowing is derived through these RF models.Measurements took part in five different topologies. In each of them the mean received power was recorded, for various distances between the transmitter and the receiver, in order for our endeavor to validate the RF models in question to be reliable. Through this procedure, RF models where examined towards each topology’s distinctive characteristics that reflect in quality and quantity all the attenuation mechanisms that affect the propagated signal.

Positioning applications using GPS, A-GPS, and other technologies are now commonly found in most held hand smart devices. The advents in applications/tools such as Google Maps have made outdoor positioning and guidance much easier. Compared to outdoor positioning, Indoor positioning has always been more challenging. Indoor positioning faces an uphill task of proper Position fixing due to an array of issues that are otherwise absent in the outdoor environment. In this chapter, through trilateration, we have devised an application that takes the help of Wi-Fi signals and does Position fixing in an indoor environment. Indoor localization and positioning is still a challenging topic in Wireless Sensor Networks, and also it is vital because of its effects on monitoring, power consumption, etc., for our work distance calculation of an object using the proposed path loss model, and Trilateration method is implemented to calculate the unknown Position of a device under the environment. It collects all the Wi-Fi signals and finds the exact matches with the database to calculate the user's actual Position on the map. It reduces the complexity of computing the distance of different access points from the user and reduces error. The tool was found to be quite promising in detecting the Position of the host device. Future work that can be extended from this work can include work with a path loss model, Multi-Sensor Fusion, to the inclusion of pattern recognition.

Indoor positioning opens up opportunities for a wide range of applications, including active marketing, accessibility and security. Although GPS (Global Positioning System) is widely used for outdoor location, it is inaccurate and in some cases unavailable indoors. One of the solutions is to use Bluetooth Beacons to determine the distance between the device and the beacon indoors using the Received Signal Strength Indicator (RSSI). The location of the object in the environment can be determined using at least three beacons and methods such as trilateration. This work aims to evaluate the use of artificial neural networks (ANN) to determine the distance and location of the laptop in an indoor environment. A first experiment compares the Log Distance Path Loss (LDPL) model and the ANN to determine the distance between the beacon and a laptop. A second experiment compares which method is best to determine the position of the laptop in a room. The following methods were evaluated: a) trilateration with distance calculation using the LDPL method; b) trilateration with distance calculation using an ANN; and c) position determination using an ANN. The results show that RSSI values can vary due to obstacles and the position of the antenna between the beacon and the laptop.