10 research outputs found
Stochastic Geometric Coverage Analysis in mmWave Cellular Networks With Realistic Channel and Antenna Radiation Models
Millimeter-wave (mmWave) bands will play an important role in 5G wireless systems. The system performance can be assessed by using models from stochastic geometry that cater for the directivity in the desired signal transmissions as well as the interference, and by calculating the signal-To-interference-plus-noise ratio ( \mathsf {SINR} ) coverage. Nonetheless, the accuracy of the existing coverage expressions derived through stochastic geometry may be questioned, as it is not clear whether they would capture the impact of the detailed mmWave channel and antenna features. In this paper, we propose an \mathsf {SINR} coverage analysis framework that includes realistic channel model and antenna element radiation patterns. We introduce and estimate two parameters, aligned gain and misaligned gain, associated with the desired signal beam and the interfering signal beam, respectively. The distributions of these gains are used to determine the distribution of the \mathsf {SINR} which is compared with the corresponding \mathsf {SINR} coverage, calculated through the system-level simulations. The results show that both aligned and misaligned gains can be modeled as exponential-logarithmically distributed random variables with the highest accuracy, and can further be approximated as exponentially distributed random variables with reasonable accuracy. These approximations can be used as a tool to evaluate the system-level performance of various 5G connectivity scenarios in the mmWave band.</p
Interference Power Characterization in Directional Networks and Full-Duplex Systems
This paper characterizes the aggregate interference power considering both directional millimeter-wave (mmWave) and In-Band Full-Duplex (IBFDX) communications. The considered scenario admits random locations of the interferers. The analysis considers a general distance-based path loss with a sectored antenna model. The interference caused to a single node also takes into account the residual self-interference due to IBFDX operation. The main contribution of the paper is the characterization of the interference caused by both transmitting nodes and full-duplex operation for different parameters and scenarios.authorsversionpublishe
Graph-based Model for Beam Management in Mmwave Vehicular Networks
Mmwave bands are being widely touted as a very promising option for future 5G
networks, especially in enabling such networks to meet highly demanding rate
requirements. Accordingly, the usage of these bands is also receiving an
increasing interest in the context of 5G vehicular networks, where it is
expected that connected cars will soon need to transmit and receive large
amounts of data. Mmwave communications, however, require the link to be
established using narrow directed beams, to overcome harsh propagation
conditions. The advanced antenna systems enabling this also allow for a complex
beam design at the base station, where multiple beams of different widths can
be set up. In this work, we focus on beam management in an urban vehicular
network, using a graph-based approach to model the system characteristics and
the existing constraints. In particular, unlike previous work, we formulate the
beam design problem as a maximum-weight matching problem on a bipartite graph
with conflicts, and then we solve it using an efficient heuristic algorithm.
Our results show that our approach easily outperforms advanced methods based on
clustering algorithms
Mmwave Beam Management in Urban Vehicular Networks
Millimeter-wave (mmwave) communication represents a potential solution to
capacity shortage in vehicular networks. However, effective beam alignment
between senders and receivers requires accurate knowledge of the vehicles'
position for fast beam steering, which is often impractical to obtain in real
time. We address this problem by leveraging the traffic signals regulating
vehicular mobility: as an example, we may coordinate beams with red traffic
lights, as they correspond to higher vehicle densities and lower speeds. To
evaluate our intuition, we propose a tractable, yet accurate, mmwave
communication model accounting for both the distance and the heading of
vehicles being served. Using such a model, we optimize the beam design and
define a low-complexity, heuristic strategy. For increased realism, we consider
as reference scenario a large-scale, real-world mobility trace of vehicles in
Luxembourg. The results show that our approach closely matches the optimum and
always outperforms static beam design based on road topology alone. Remarkably,
it also yields better performance than solutions based on real-time mobility
information
Mmwave Beam Management in Urban Vehicular Networks
Millimeter-wave (mmwave) communication repre- sents a potential solution to capacity shortage in vehicular net- works. However, effective beam alignment between senders and receivers requires accurate knowledge of the vehicles’ position for fast beam steering, which is often impractical to obtain in real time. We address this problem by leveraging the traffic signals regulating vehicular mobility: as an example, we may coordinate beams with red traffic lights, as they correspond to higher vehicle densities and lower speeds. To evaluate our intuition, we propose a tractable, yet accurate, mmwave communication model accounting for both the distance and the heading of vehicles being served. Using such a model, we optimize the beam design and define a low-complexity, heuristic strategy. For increased realism, we consider as reference scenario a large-scale, real- world mobility trace of vehicles in Luxembourg. The results show that our approach closely matches the optimum and always outperforms static beam design based on road topology alone. Remarkably, it also yields better performance than solutions based on real-time mobility information