Propagation Models for Wireless Network Planning

Kürner, Thomas; Lostanlen, Yves

doi:10.1002/9781118410998.ch12

Cited by 5 publications

(1 citation statement)

References 25 publications

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“…For a direct ray path, all the intersected surfaces are determined on the assumption that a diffracted edge always belongs to the surface of the intersected ray path. Therefore, in case of a single obstacle intersecting the path of the ray, the diffraction C is computed as [43]:…”

Section: Appendix C Large-scale Fading Computationmentioning

confidence: 99%

Spatial and Spectral Resource Allocation for Energy-Efficient Massive MIMO 5G Networks

Marwaha

Jorswieck

Liu

et al. 2022

ICC 2022 - IEEE International Conference on Communications

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For energy efficient operation of the massive multiple-input multiple-output (MIMO) networks, various aspects of energy efficiency maximization have been addressed, where a careful selection of number of active antennas has shown significant gains. Moreover, switching-off physical resource blocks (PRBs) and carrier shutdown saves energy in low load scenarios. However, the joint optimization of spectral PRB allocation and spatial layering in a heterogeneous network has not been completely solved yet. Therefore, we study a power consumption model for multi-cell multi-user massive MIMO 5G network, capturing the joint effects of both dimensions. We characterize the optimal resource allocation under practical constraints, i.e., limited number of available antennas, PRBs, base stations (BSs), and frequency bands. We observe a single spatial layer achieving lowest energy consumption in very low load scenarios, whereas, spatial layering is required in high load scenarios. Finally, we derive novel algorithms for energy efficient user (UE) to BS assignment and propose an adaptive algorithm for PRB assignment and power control. All results are illustrated by numerical system-level simulations, describing a realistic metropolis scenario. The results show that a higher frequency band should be used to support UEs with large rate requirements via spatial multiplexing and assigning each UE maximum available PRBs.

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Section: Appendix C Large-scale Fading Computationmentioning

confidence: 99%

Spatial and Spectral Resource Allocation for Energy-Efficient Massive MIMO 5G Networks

Marwaha

Jorswieck

Liu

et al. 2022

ICC 2022 - IEEE International Conference on Communications

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Indoor Office Channels

Kürner

2020

Wiley 5G Ref

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Indoor Ultra‐high Broadband Access with high traffic densities inside office buildings brings the indoor office channel into the focus. Whereas in the past decade the indoor office channel in the UHF range was subject to intense channel modeling and channel characterization approaches, with the advent of 5G mmWave channels are raising attention. After introducing the key characteristics and main differences of propagation in the UHF and mmWave frequency range, respectively, the first part of the article indoor office channels describes empirical, semiempirical, and deterministic path loss models for both the UHF and the mmWave frequency range. A detailed description is provided for the semiempirical Motley–Keenan model and its various extensions. These models allow a narrowband channel characterization and provide the large‐scale characteristics. These models are relevant for the planning and optimization of radio access points as well as an enabler for system‐level simulations. The second part introduces channel models capable of providing temporal and spatial channel characteristics. This includes approaches to derive models for double‐directional channels, which are required to simulate and investigate multi‐antenna systems and beam‐forming algorithms especially in the mmWave range. Furthermore, an approach to describe the impact of human blockage is provided. As exemplary approaches, the extended Saleh–Valenzuela model and the TGad channel model are described.

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