4Channel Modeling
Shangbin Wu1, Sinh L. H. Nguyen2 and Raffaele D’Errico3
1 Samsung R&D Institute, UK
2 Aalto University, Finland
3 CEA‐LETI, France
4.1 Introduction
The emerging 5th generation (5G) cellular systems raise unprecedented requirements on data rates, link reliabilities, end‐to‐end (E2E) latencies, and the support of a portfolio of different scenarios and service types. To satisfy 5G requirements, cutting‐edge technology components are proposed both in academia and in industry. First, targeted frequency bands are expanded from legacy below 6 GHz to above 6 GHz millimeter‐wave (mmWave) bands, which are able to provide large frequency resources to boost throughput. Second, recently massive multiple‐input multiple‐output (MIMO) technology has appealed to the communication community due to its promising capability of greatly improving spectral efficiency, energy efficiency, and robustness of the system by equipping a base station (BS) with a large number of antenna elements (typically tens or even hundreds). Third, massive machine‐type communications (mMTC) are emerging to provide scalable, energy‐efficient and smart services for sensors, healthcare, and consumer goods. The design and evaluation of these technology components demand an accurate and efficient channel model.
The most widely used channel model family is the well‐known 3rd Generation Partnership Project (3GPP) spatial channel model (SCM) and Wireless World Initiative New Radio phase II (WINNER II) family, which follows ...
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