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Improving the Efficiency of MIMO Simulations in ns-3

Published: 28 June 2023 Publication History

Abstract

Channel modeling is a fundamental task for the design and evaluation of wireless technologies and networks, before actual prototyping, commercial product development and real deployments. The recent trends of current and future mobile networks, which include large antenna systems, massive deployments, and high-frequency bands, require complex channel models for the accurate simulation of massive MIMO (m-MIMO) in millimeter wave (mmWave) and Terahertz (THz) bands. To address the complexity/accuracy trade-off, a spatial channel model has been defined by 3GPP (TR 38.901), which has been shown to be the main bottleneck of current system-level simulations in ns-3. In this paper, we focus on improving the channel modeling efficiency for large-scale MIMO system-level simulations. Extensions are developed in two directions. First, we improve the efficiency of the current 3GPP TR 38.901 implementation code in ns-3, by allowing the use of the Eigen library for more efficient matrix algebra operations, among other optimizations and a more modular code structure. Second, we propose a new performance-oriented MIMO channel model for reduced complexity, as an alternative model suitable for mmWave/THz bands, and calibrate it against the 3GPP TR 38.901 model. Simulation results demonstrate the proper calibration of the newly introduced model for various scenarios and channel conditions, and exhibit an effective reduction of the simulation time (up to 16 times compared to the previous baseline) thanks to the various proposed improvements.

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      WNS3 '23: Proceedings of the 2023 Workshop on ns-3
      June 2023
      134 pages
      ISBN:9798400707476
      DOI:10.1145/3592149
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Published: 28 June 2023

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      Author Tags

      1. Terahertz
      2. channel model
      3. mmWave
      4. network simulation
      5. ns-3

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      • Spanish Government
      • U.S. NSF
      • MCIN/AEI/1

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      WNS3 2023
      WNS3 2023: 2023 Workshop on ns-3
      June 28 - 29, 2023
      VA, Arlington, USA

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