Verification of the Vienna 5G Link and System Level Simulators and Their Interaction

Pratschner, Stefan; Müller, Martin Klaus; Ademaj, Fjolla; Nabavi, Armand; Tahir, Bashar; Schwarz, Štefan; Ruppy, Markus

doi:10.1109/ccnc.2019.8651694

Cited by 13 publications

(6 citation statements)

References 23 publications

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“…In [57], the Vienna LTE Simulators [58] extension to 5G networks is presented, which is a MATLAB-based LL simulation tool. In the same context, in [59], a verification of the Vienna 5G LL and SL simulators is provided. The Vienna 5G SL Simulator [60] considers wireless networks on a large scale, offering the possibility to simulate scenarios that include hundreds of nodes.…”

Section: System and Link Level Simulatorsmentioning

confidence: 99%

A Comprehensive Study on Simulation Techniques for 5G Networks: State of the Art Results, Analysis, and Future Challenges

2020

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Ιn this review article, a comprehensive study is provided regarding the latest achievements in simulation techniques and platforms for fifth generation (5G) wireless cellular networks. In this context, the calculation of a set of diverse performance metrics, such as achievable throughput in uplink and downlink, the mean Bit Error Rate, the number of active users, outage probability, the handover rate, delay, latency, etc., can be a computationally demanding task due to the various parameters that should be incorporated in system and link level simulations. For example, potential solutions for 5G interfaces include, among others, millimeter Wave (mmWave) transmission, massive multiple input multiple output (MIMO) architectures and non-orthogonal multiple access (NOMA). Therefore, a more accurate and realistic representation of channel coefficients and overall interference is required compared to other cellular interfaces. In addition, the increased number of highly directional beams will unavoidably lead to increased signaling burden and handovers. Moreover, until a full transition to 5G networks takes place, coexistence with currently deployed fourth generation (4G) networks will be a challenging issue for radio network planning. Finally, the potential exploitation of 5G infrastructures in future electrical smart grids in order to support high bandwidth and zero latency applications (e.g., semi or full autonomous driving) dictates the need for the development of simulation environments able to incorporate the various and diverse aspects of 5G wireless cellular networks.

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Section: System and Link Level Simulatorsmentioning

confidence: 99%

A Comprehensive Study on Simulation Techniques for 5G Networks: State of the Art Results, Analysis, and Future Challenges

2020

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“…Now R d = diag(x P d ) Γ, where P d contains the cells' data channel transmission powers. We note that SINR values from (5) are applied to compute performance indicators such as throughput and reliability using a mapping table or function for applied radio technology [65], [66]. For instance, the user throughput vector can be obtained similarly as in [66], using the formula:…”

Section: Multiobjective Optimizationmentioning

confidence: 99%

A Data-Driven Multiobjective Optimization Framework for Hyperdense 5G Network Planning

2020

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The trials and rollout of the fifth generation (5G) network technologies are gradually intensifying as 5G is positioned as a platform that not only accommodates exploding data traffic but also unlocks a multitude use cases, services and deployment scenarios. However, the need for hyperdense 5G deployments is revealing some of the limitations of planning approaches that hitherto proved adequate for pre-5G systems. The hyperdensification envisioned in 5G networks not only adds complexity to network planning and optimization problems, but underlines need for more realistic data-driven approaches that consider cost, varying demands and other contextual attributes to produce feasible topologies. Furthermore, the quest for network programmability and automation including the 5G radio access network (RAN), as manifested by network slicing technologies and more flexible RAN architectures, are also among other factors that influence planning and optimization frameworks. Collectively, these deployment trends, technological developments and evolving (and diverse) service demands point towards the need for more holistic frameworks. This article proposes a data-driven multiobjective optimization framework for hyperdense 5G network planning with practical case studies used to illustrate added value compared to contemporary network planning and optimization approaches. Comparative results from the case study with real network data reveal potential performance and cost improvements of hyperdense optimized networks produced by the proposed framework due to increased use of contextual data of planning area and focus on objectives that target demand satisfaction.

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“…In [8], 5G and beyond scenarios are simulated using the Vienna 5G Link Level Simulator (LLS) and the SLS. The interaction of these simulators and their reliance on each other is verified and validated in the research.…”

Section: State Of the Artmentioning

confidence: 99%

A novel mapping technique for ray tracer to system-level simulation

Khan

Busari

Huq

et al. 2020

Computer Communications

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Simulations have become remarkably useful in evaluating the performance of new techniques and algorithms in communication networks. This is due to its comparative cost, time and complexity advantage over the analytical and field trial approaches. For large-scale networks, system-level simulators (SLS) are used to assess the performance of the systems. The SLS typically employs statistical channel models to characterize the propagation environment. However, the communication channels can be more accurately modeled using the deterministic ray tracing tools, though at the cost of higher complexity. In this work, we present a novel framework for a hybrid system that integrates both the ray tracer and the SLS. In the hybrid system, the channel strength in terms of the signal-to-noise ratio (SNR) is fed from the ray tracer to the SLS which then uses the values for further tasks such as resource allocation and the consequent performance evaluation. Using metrics such as user throughput and spectral efficiency, our results show that the hybrid system predicts the system performance more accurately than the baseline SLS without ray tracing. The hybrid system will thus facilitate the accurate assessment of the performance of next-generation wireless systems.

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Verification of the Vienna 5G Link and System Level Simulators and Their Interaction

Cited by 13 publications

References 23 publications

A Comprehensive Study on Simulation Techniques for 5G Networks: State of the Art Results, Analysis, and Future Challenges

A Comprehensive Study on Simulation Techniques for 5G Networks: State of the Art Results, Analysis, and Future Challenges

A Data-Driven Multiobjective Optimization Framework for Hyperdense 5G Network Planning

A novel mapping technique for ray tracer to system-level simulation

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