Multi-Elliptical Geometry of Scatterers in Modeling Propagation Effect at Receiver

Kelner, Jan M.; Ziółkowski, Cezary

doi:10.5772/intechopen.75142

Cited by 11 publications

(38 citation statements)

References 46 publications

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“…In this paper, we analyze the transmission of signals in a frequency range from 3 to 4 GHz and with receiving point distances at 100, 200, and 500 m. For these conditions, we can assume that the dispersion phenomenon of the received power dominates in the azimuth plane. This fact is shown in [ 27 , 33 ]. In this case, the SIR between the useful signal strength

and the power of the interfering signal

that comes from the unwanted beam has the following form [ 5 ]:

where

and

represent the PASs of the serving and interfering signals in the azimuth plane, respectively.…”

Section: Interference Evaluation In Downlinkmentioning

confidence: 56%

“…Its structure consists of a set of confocal ellipses whose foci determine the positions of the Tx and Rx, i.e., the gNodeB and UE for the DL scenario, respectively. The scattering geometry of the MPM in the azimuth plane is illustrated in Figure 1 [ 27 ], whereas Figure 2 depicts the simplified MPM simulation procedure.…”

Section: Interference Evaluation In Downlinkmentioning

confidence: 99%

“…Based on considered assumptions, i.e., the Tx-Rx distance—spatial scenario (step 1) and a chosen power delay profile (PDP) for LOS/NLOS conditions (step 2), in step 3, we calculate parameters of scattering geometry structure. For the n th ellipse (time-cluster), the major,

and minor,

axes are defined based on the PDP according to the following relationships [ 27 , 34 ]:

where

denotes the speed of light,

is a delay for which the PDP takes the n th local extreme,

and

is the number of time-clusters (i.e., the local extremes) in the PDP.…”

Section: Interference Evaluation In Downlinkmentioning

confidence: 99%

“…The adopted way of creating the MPM geometric structure enables mapping of the transmission properties of propagation environments. Detailed descriptions of this structure are provided in [ 27 , 33 , 34 , 35 ].…”

Section: Interference Evaluation In Downlinkmentioning

confidence: 99%

“…In this paper, we present a novel approach for assessing the interference level in a downlink (DL) that arises as a result of using a multi-beam antenna system in 5G BS (gNodeB), which is based on a multi-elliptical propagation model (MPM) [ 27 ]. Simulation results of the DL SIR obtained with the use of the MPM were compared with simulation results of the commonly used 3rd Generation Partnership Project (3GPP) channel model [ 28 ].…”

Section: Introductionmentioning

confidence: 99%

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Modeling of Downlink Interference in Massive MIMO 5G Macro-Cell

Bechta¹,

Ziółkowski

Kelner

et al. 2021

Sensors

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Multi-beam antenna systems are the basic technology used in developing fifth-generation (5G) mobile communication systems. In practical implementations of 5G networks, different approaches are used to enable a massive multiple-input-multiple-output (mMIMO) technique, including a grid of beams, zero-forcing, or eigen-based beamforming. All of these methods aim to ensure sufficient angular separation between multiple beams that serve different users. Therefore, ensuring the accurate performance evaluation of a realistic 5G network is essential. It is particularly crucial from the perspective of mMIMO implementation feasibility in given radio channel conditions at the stage of network planning and optimization before commercial deployment begins. This paper presents a novel approach to assessing the impact of a multi-beam antenna system on an intra-cell interference level in a downlink, which is important for the accurate modeling and efficient usage of mMIMO in 5G cells. The presented analysis is based on geometric channel models that allow the trajectories of propagation paths to be mapped and, as a result, the angular power distribution of received signals. A multi-elliptical propagation model (MPM) is used and compared with simulation results obtained for a statistical channel model developed by the 3rd Generation Partnership Project (3GPP). Transmission characteristics of propagation environments such as power delay profile and antenna beam patterns define the geometric structure of the MPM. These characteristics were adopted based on the 3GPP standard. The obtained results show the possibility of using the presented novel MPM-based approach to model the required minimum separation angle between co-channel beams under line-of-sight (LOS) and non-LOS conditions, which allows mMIMO performance in 5G cells to be assessed. This statement is justified because for 80% of simulated samples of intra-cell signal-to-interference ratio (SIR), the difference between results obtained by the MPM and commonly used 3GPP channel model was within 2 dB or less for LOS conditions. Additionally, the MPM only needs a single instance of simulation, whereas the 3GPP channel model requires a time-consuming and computational power-consuming Monte Carlo simulation method. Simulation results of intra-cell SIR obtained this way by the MPM approach can be the basis for spectral efficiency maximization in mMIMO cells in 5G systems.

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and the power of the interfering signal

that comes from the unwanted beam has the following form [ 5 ]:

where

and

represent the PASs of the serving and interfering signals in the azimuth plane, respectively.…”

Section: Interference Evaluation In Downlinkmentioning

confidence: 56%

Section: Interference Evaluation In Downlinkmentioning

confidence: 99%

and minor,

axes are defined based on the PDP according to the following relationships [ 27 , 34 ]: