During the past years, the number of antenna installations has considerably increased mainly as a consequence of the great diffusion of cellular systems. While the emissions of mobile terminals principally concern cellular system users, the exposure due to base stations (BSs) is permanent and spread over the entire territory. In this paper, a flexible approach for the evaluation of exposure levels generated by cellular systems BSs is proposed. Both a conceptual method for the evaluation of the overall exposure level and a site specific method for the computation of the field in the surroundings of BS antennas are proposed. This last method is based on a combination of three different propagation models which enable an accurate evaluation of the field both close to the antenna and farther off. The validity of the approach is checked by comparison with measurements in single-antenna and multiantenna cases.
A novel statistical method for field prediction in an urban environment is presented. The method is based on a sort of "statistical ray tracing", that is, the main parameters of the generic ray (orientation, number of reflections, path length etc.) are evaluated through their statistical distribution on the basis of the characteristics of the environment. These characteristics can be extracted from a sample map by means of an automatic graphical algorithm.
It is known that Diffuse Scattering (DS) modelling must be embedded into Ray Tracing propagation prediction tools to achieve realistic results. However, the extension of the common ray based approach to include DS phenomena results in an increased computational burden due to the distributed nature of DS, which supposedly requires wall-surface discretization and therefore a much higher number of elements to be considered in the visibility algorithm. In this work a fast DS model which doesn't require discretization is implemented into a Ray Tracing propagation simulator and performance is assessed in terms of CPU time and result accuracy with respect to more conventional DS models.
Abstract Direct‐Sequence Spread Spectrum Multiple Access (DS‐SSMA) techniques are being proposed for modern personal and mobile radio communication networks. Fast and accurate acquisition of synchronism between the received code sequence and the locally generated sequence plays a fundamental role in the successful utilization of any code division multiple access technique. In this paper, the performance of the code acquisition sub‐system is analysed in the presence of multiple access interference, data modulation and noise. The effect of interference from other codes is analysed without resorting to a Gaussian approximation; this approach allows the evaluation of the properties of different families of codes. Results of the analysis are presented for Maximal Length Shift Register (MLSR), Gold and Kasami sequences, with and without verification mode, with absorbing and non absorbing false alarm state.
In this work, the Discrete, Environment-Driven Ray Launching (DED-RL) algorithm, which makes use of parallelization on Graphic Processing Units, fully described in a previous paper, has been validated versus a large set of measurements to evaluate its performance in terms of both computational efficiency and accuracy. Three major urban areas have been considered, including a very challenging scenario in central San Francisco that was used as a benchmark to test an image-ray tracing algorithm in a previous work. Results show that DED-RL is as accurate as ray tracing, despite the much lower computation time, reduced by more than three orders of magnitude with respect to ray tracing. Moreover, the accuracy level only marginally depends on discretization pixel size, at least for the considered pixel size range. The unprecedented computational efficiency of DED-RL opens the way to numerous applications, ranging from RF coverage optimization of drone-aided cellular networks to efficient fingerprinting localization applications, as briefly discussed in the paper.
Future wireless personal communications will find important applications in indoor environments; hence, an accurate analysis of the propagation characteristics within buildings and their impact on system design parameters is highly desirable. The performance of space diversity techniques in an indoor environment is investigated. Three linear signal combining techniques are considered: signal selection, maximal ratio combining and equal gain combining. The calculation of received fading envelope in the environment has been performed by using a 3D ray-tracing/UTD technique. The obtained results show the very significant benefits that can be achieved both in terms of diversity gain and diversity advantage, as well as the good agreement with the general achievements of previous experimental works.
mm-waves are envisaged as a key enabler for 5G and 6G wireless communications, thanks to the wide bandwidth and to the possibility of implementing large-scale antenna arrays and advanced transmission techniques, such as massive MIMO and beamforming, that can take advantage of the multidimensional properties of the wireless channel. In order to analyze in depth the peculiar characteristics of mm-wave propagation, joint measurement and simulation campaigns in indoor and outdoor microcellular environments have been carried out. The investigation highlights that the assumption that mm-wave NLoS connectivity is hardly feasible is not necessarily true as significant reflections, scattering and even transmission mechanisms can provide good NLoS coverage in the considered indoor and outdoor scenarios. This is also reflected in the limited angle-spread differences between LoS and NLoS locations in some cases. Finally, the contribution of different propagation mechanisms (reflection, diffraction, scattering and combination of them) to the received signal is analyzed in the paper with the help of ray tracing simulations. These outcomes can be helpful to predict the performance of mm-wave wireless systems and for the development of deterministic and geometric-stochastic mm-wave channel models.
An analytical model for an antenna-embedded wall, also called signal-transmissive wall, is presented in this work. In the signal-transmissive wall, multiple antenna elements are distributed periodically on both wall sides, and connected back-to-back through coaxial cables. Numerical full-wave simulations of the signal-transmissive wall are computationally demanding due to the fine meshes required in the cables while having an electrically large wall size. Therefore the simulations above 8 GHz are not feasible even with a powerful cluster computer of the authors’ research site. The analytical model is an attractive alternative to the full-wave simulation of the wall, which combines the individual transmission characteristics of the bare wall, realized gains of antenna elements and cable losses. The analytical model accurately reproduces the full-wave simulated transmission coefficient of the signal-transmissive wall up to 8 GHz for arbitrary polarizations and incident angles of a plane wave. The model therefore allows analyses of the signal-transmissive wall beyond 8 GHz, showing more than 70 dB reduction of the transmission loss at 30 GHz compared to a bare wall.