Scalable and Accurate Modeling of the Millimeter Wave Channel

Testolina, Paolo; Lecci, Mattia; Polese, Michele; Giordani, Marco; Zorzi, Michele

doi:10.1109/icnc47757.2020.9049746

Cited by 7 publications

(13 citation statements)

References 18 publications

(24 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(iv) performing a calibration campaign to validate the model following the assumptions reported in [4], Sec. 7.8; and (v) lowering the computation time needed to generate a channel realization [35] through the optimization of matrix operations.…”

Section: Discussionmentioning

confidence: 99%

Implementation of a Spatial Channel Model for ns-3

Zugno

Polese

Patriciello

et al. 2020

Proceedings of the 2020 Workshop on Ns-3

Self Cite

View full text Add to dashboard Cite

The next generation of wireless networks will feature a more flexible radio access design, integrating multiple new technological solutions (e.g., massive Multiple-Input Multiple-Output (MIMO), millimeter waves) to satisfy different verticals and use cases. The performance evaluation of these networks will require more complex models to represent the interactions of different components of the networks accurately. For example, channel models, which are of paramount importance to precisely characterize the behavior of such systems, need to account for multi-antenna systems and new frequency bands. This paper presents the ns-3 implementation of a spatial channel model for the 0.5-100 GHz spectrum, following the 3GPP Technical Report 38.901. The code, designed to be flexible and easily extensible, is integrated in ns-3's antenna, propagation and spectrum models, and offers the support for the investigation of future wireless systems in ns-3. CCS CONCEPTS• Networks → Network simulations; Mobile networks.

show abstract

Section: Discussionmentioning

confidence: 99%

Implementation of a Spatial Channel Model for ns-3

Zugno

Polese

Patriciello

et al. 2020

Proceedings of the 2020 Workshop on Ns-3

Self Cite

View full text Add to dashboard Cite

show abstract

“…With currently available channel modeling tools, however, a higher accuracy translates into a higher computational complexity for the MPC generation and the simulations. As we discuss in [17], the complexity is proportional to two elements, i.e., the number of MPCs which need to be combined to generate the channel matrix H, and the number of antennas at the two endpoints of the communication link (which represents the number of columns and rows of H).…”

Section: A Channel Modeling For Mmwavesmentioning

confidence: 99%

“…The number of multipath components of the channel between two endpoints heavily affects the computational complexity of the RT, as outlined in Sec. II, and of the higherlevel simulators [17], e.g., link-level or network-level ones. For this reason, in this work we propose two different strategies to reduce the total number of MPCs, and analyze the effects that this simplification yields on the system behavior.…”

Section: How To Simplify the Millimeter Wave Channelmentioning

confidence: 99%

Simplified Ray Tracing for the Millimeter Wave Channel: A Performance Evaluation

Lecci,

Testolina,

Giordani

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

Millimeter-wave (mmWave) communication is one of the cornerstone innovations of fifth-generation (5G) wireless networks, thanks to the massive bandwidth available in these frequency bands. To correctly assess the performance of such systems, however, it is essential to have reliable channel models, based on a deep understanding of the propagation characteristics of the mmWave signal. In this respect, ray tracers can provide high accuracy, at the expense of a significant computational complexity, which limits the scalability of simulations. To address this issue, in this paper we present possible simplifications that can reduce the complexity of ray tracing in the mmWave environment, without significantly affecting the accuracy of the model. We evaluate the effect of such simplifications on linklevel metrics, testing different configuration parameters and propagation scenarios.

show abstract

“…however for measurements at sub-6 GHz. Still, the stochastic nature of these models may prevent researchers from evaluating the impact of the channel dynamics in specific environments, and may respond poorly to the need of accurately characterizing the spatio-temporal evolution of the channel Multi Path Components (MPCs) [24].…”

Section: Introductionmentioning

confidence: 99%

“…• We propose simplification techniques for ray-tracing based on the Method of Images (MoI) to speed up network simulations and the RT itself. Specifically, along the lines of our previous investigations [1], [24], we consider a simplified RT implementation that processes only MPCs whose received power is above a certain threshold (relative to the strongest MPC) and another that limits the maximum number of reflections for each MPC.…”

Section: Introductionmentioning

confidence: 99%

Accuracy vs. Complexity for mmWave Ray-Tracing: A Full Stack Perspective

Lecci¹,

Testolina²,

Polese³

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

The millimeter wave (mmWave) band will provide multi-gigabits-per-second connectivity in the radio access of future wireless systems. The high propagation loss in this portion of the spectrum calls for the deployment of large antenna arrays to compensate for the loss through high directional gain, thus introducing a spatial dimension in the channel model to accurately represent the performance of a mmWave network. In this perspective, ray-tracing can characterize the channel in terms of Multi Path Components (MPCs) to provide a highly accurate model, at the price of extreme computational complexity (e.g., for processing detailed environment information about the propagation), which limits the scalability of the simulations. In this paper, we present possible simplifications to improve the tradeoff between accuracy and complexity in ray-tracing simulations at mmWaves by reducing the total number of MPCs. The effect of such simplifications is evaluated from a full-stack perspective through end-to-end simulations, testing different configuration parameters, propagation scenarios, and higherlayer protocol implementations. We then provide guidelines on the optimal degree of simplification, for

show abstract

Scalable and Accurate Modeling of the Millimeter Wave Channel

Cited by 7 publications

References 18 publications

Implementation of a Spatial Channel Model for ns-3

Implementation of a Spatial Channel Model for ns-3

Simplified Ray Tracing for the Millimeter Wave Channel: A Performance Evaluation

Accuracy vs. Complexity for mmWave Ray-Tracing: A Full Stack Perspective

Contact Info

Product

Resources

About