19,628 research outputs found
Efficient Sum-of-Sinusoids based Spatial Consistency for the 3GPP New-Radio Channel Model
Spatial consistency was proposed in the 3GPP TR 38.901 channel model to
ensure that closely spaced mobile terminals have similar channels. Future
extensions of this model might incorporate mobility at both ends of the link.
This requires that all random variables in the model must be correlated in 3
(single-mobility) and up to 6 spatial dimensions (dual-mobility). Existing
filtering methods cannot be used due to the large requirements of memory and
computing time. The sum-of-sinusoids model promises to be an efficient
solution. To use it in the 3GPP channel model, we extended the existing model
to a higher number of spatial dimensions and propose a new method to calculate
the sinusoid coefficients in order to control the shape of the autocorrelation
function. The proposed method shows good results for 2, 3, and 6 dimensions and
achieves a four times better approximation accuracy compared to the existing
model. This provides a very efficient implementation of the 3GPP proposal and
enables the simulation of many communication scenarios that were thought to be
impossible to realize with geometry-based stochastic channel models
5G 3GPP-like Channel Models for Outdoor Urban Microcellular and Macrocellular Environments
For the development of new 5G systems to operate in bands up to 100 GHz,
there is a need for accurate radio propagation models at these bands that
currently are not addressed by existing channel models developed for bands
below 6 GHz. This document presents a preliminary overview of 5G channel models
for bands up to 100 GHz. These have been derived based on extensive measurement
and ray tracing results across a multitude of frequencies from 6 GHz to 100
GHz, and this document describes an initial 3D channel model which includes: 1)
typical deployment scenarios for urban microcells (UMi) and urban macrocells
(UMa), and 2) a baseline model for incorporating path loss, shadow fading, line
of sight probability, penetration and blockage models for the typical
scenarios. Various processing methodologies such as clustering and antenna
decoupling algorithms are also presented.Comment: To be published in 2016 IEEE 83rd Vehicular Technology Conference
Spring (VTC 2016-Spring), Nanjing, China, May 201
Massive MIMO Extensions to the COST 2100 Channel Model: Modeling and Validation
To enable realistic studies of massive multiple-input multiple-output
systems, the COST 2100 channel model is extended based on measurements. First,
the concept of a base station-side visibility region (BS-VR) is proposed to
model the appearance and disappearance of clusters when using a
physically-large array. We find that BS-VR lifetimes are exponentially
distributed, and that the number of BS-VRs is Poisson distributed with
intensity proportional to the sum of the array length and the mean lifetime.
Simulations suggest that under certain conditions longer lifetimes can help
decorrelating closely-located users. Second, the concept of a multipath
component visibility region (MPC-VR) is proposed to model birth-death processes
of individual MPCs at the mobile station side. We find that both MPC lifetimes
and MPC-VR radii are lognormally distributed. Simulations suggest that unless
MPC-VRs are applied the channel condition number is overestimated. Key
statistical properties of the proposed extensions, e.g., autocorrelation
functions, maximum likelihood estimators, and Cramer-Rao bounds, are derived
and analyzed.Comment: Submitted to IEEE Transactions of Wireless Communication
- …