System Level Simulation for Two Tier Macro-Femto Cellular Networks

Recent years have seen the proliferation of different techniques for outdoor and, especially, indoor positioning. Still being a field in development, localization is expected to be fully pervasive in the next few years. Although the development of such techniques is driven by the commercialization of location-based services (e.g., navigation), its application to support cellular management is considered to be a key approach for improving its resilience and performance. When different approaches have been defined for integrating location information into the failure management activities, they commonly ignore the increase in the dimensionality of the data as well as their integration into the complete flow of networks failure management. Taking this into account, the present work proposes a complete integrated approach for location-aware failure management, covering the gathering of network and positioning data, the generation of metrics, the reduction in the dimensionality of such data, and the application of inference mechanisms. The proposed scheme is then evaluated by system-level simulation in ultra-dense scenarios, showing the capabilities of the approach to increase the reliability of the supported diagnosis process as well as reducing its computational cost.

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A new link level to system level simulation interface method

2010 International Conference on Audio, Language and Image Processing ◽

10.1109/icalip.2010.5685070 ◽

2010 ◽

Cited By ~ 1

Author(s):

Wenzhao Nie ◽

Hongwen Yang

Keyword(s):

System Level ◽

System Level Simulation

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System Level Simulation of Microgrid Power Electronic Systems

Electronics ◽

10.3390/electronics10060644 ◽

2021 ◽

Vol 10 (6) ◽

pp. 644

Author(s):

Michal Frivaldsky ◽

Jan Morgos ◽

Michal Prazenica ◽

Kristian Takacs

Keyword(s):

Smart Grid ◽

Simulation Model ◽

Real Time ◽

Power Converter ◽

System Level ◽

Time Behavior ◽

Operational Parameters ◽

System Level Simulation ◽

Time Operation ◽

The Impact

In this paper, we describe a procedure for designing an accurate simulation model using a price-wised linear approach referred to as the power semiconductor converters of a DC microgrid concept. Initially, the selection of topologies of individual power stage blocs are identified. Due to the requirements for verifying the accuracy of the simulation model, physical samples of power converters are realized with a power ratio of 1:10. The focus was on optimization of operational parameters such as real-time behavior (variable waveforms within a time domain), efficiency, and the voltage/current ripples. The approach was compared to real-time operation and efficiency performance was evaluated showing the accuracy and suitability of the presented approach. The results show the potential for developing complex smart grid simulation models, with a high level of accuracy, and thus the possibility to investigate various operational scenarios and the impact of power converter characteristics on the performance of a smart gird. Two possible operational scenarios of the proposed smart grid concept are evaluated and demonstrate that an accurate hardware-in-the-loop (HIL) system can be designed.

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Spatial Indexing for System-Level Evaluation of 5G Heterogeneous Cellular Networks

2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall) ◽

10.1109/vtc2020-fall49728.2020.9348595 ◽

2020 ◽

Author(s):

Roohollah Amiri ◽

Eren Balevi ◽

Jeffrey G. Andrews ◽

Hani Mehrpouyan

Keyword(s):

Cellular Networks ◽

System Level ◽

Spatial Indexing ◽

Heterogeneous Cellular Networks

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DL Michael H. Perrott Speaks on System-Level Simulation of Time-Based Circuits and Digital PLLs at SSCS Lehigh Valley [Chapters]

IEEE Solid-State Circuits Magazine ◽

10.1109/mssc.2013.2289645 ◽

2014 ◽

Vol 6 (1) ◽

pp. 63-66

Author(s):

Roger Minear ◽

Robert Peruzzi ◽

Michael H. Perrott

Keyword(s):

System Level ◽

System Level Simulation ◽

Lehigh Valley

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Gem5-X

ACM Transactions on Architecture and Code Optimization ◽

10.1145/3461662 ◽

2021 ◽

Vol 18 (4) ◽

pp. 1-27

Author(s):

Yasir Mahmood Qureshi ◽

William Andrew Simon ◽

Marina Zapater ◽

Katzalin Olcoz ◽

David Atienza

Keyword(s):

Visual Recognition ◽

Energy Savings ◽

Video Encoding ◽

System Level ◽

Heterogeneous Architecture ◽

Video Analytics ◽

Smart Systems ◽

System Level Simulation ◽

Many Core ◽

New Applications

The increasing adoption of smart systems in our daily life has led to the development of new applications with varying performance and energy constraints, and suitable computing architectures need to be developed for these new applications. In this article, we present gem5-X, a system-level simulation framework, based on gem-5, for architectural exploration of heterogeneous many-core systems. To demonstrate the capabilities of gem5-X, real-time video analytics is used as a case-study. It is composed of two kernels, namely, video encoding and image classification using convolutional neural networks (CNNs). First, we explore through gem5-X the benefits of latest 3D high bandwidth memory (HBM2) in different architectural configurations. Then, using a two-step exploration methodology, we develop a new optimized clustered-heterogeneous architecture with HBM2 in gem5-X for video analytics application. In this proposed clustered-heterogeneous architecture, ARMv8 in-order cluster with in-cache computing engine executes the video encoding kernel, giving 20% performance and 54% energy benefits compared to baseline ARM in-order and Out-of-Order systems, respectively. Furthermore, thanks to gem5-X, we conclude that ARM Out-of-Order clusters with HBM2 are the best choice to run visual recognition using CNNs, as they outperform DDR4-based system by up to 30% both in terms of performance and energy savings.

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