2019 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS) 2019
DOI: 10.1109/comcas44984.2019.8958330
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A Study of Interference Distributions in Millimeter Wave Cellular Networks

Abstract: We study the distribution of the interference power in a millimeter wave (mmWave) cellular network. Such interference is random and highly dependent on the employed transmission technique, as well as the varying channel conditions and the varying association between users and base stations. Traditional networks at lower frequencies usually employ omnidirectional transmission which creates an (almost) equal amount of interference in any direction. MmWave networks, however, must employ directional beamforming tr… Show more

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Cited by 10 publications
(4 citation statements)
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“…With the deployment of 5G wireless communication and the need to accommodate for the shorter signal range, mmWave-enabled networks will have a high density of base stations. In such a dense network, interference is an important factor affecting network performance [1]. In this way, an efficient radio access-constructed by accurate channel modelling-combined with more spectrum availability is essential to achieve the ongoing demands faced by wireless carriers [2].…”
Section: Introductionmentioning
confidence: 99%
“…With the deployment of 5G wireless communication and the need to accommodate for the shorter signal range, mmWave-enabled networks will have a high density of base stations. In such a dense network, interference is an important factor affecting network performance [1]. In this way, an efficient radio access-constructed by accurate channel modelling-combined with more spectrum availability is essential to achieve the ongoing demands faced by wireless carriers [2].…”
Section: Introductionmentioning
confidence: 99%
“…When the studies in the literature were examined, it was discovered that channel modeling simulation programs such as SANSA, QuaDRiGa, WinProp, and NYUSIM have been evaluated in various studies [21,22]. Several studies compared NYUSIM channel models to those of the Third Generation Partnership Project (3GPP) [23][24][25][26]. NYUSIM has been widely used in the literature for channel modeling, generating power delay profile (PDP) and path loss outputs, with many studies varying the channel parameters [27][28][29].…”
Section: Related Work On Nyusimmentioning
confidence: 99%
“…In addition, we add comparisons between the proposed user association schemes, the random-AP user association scheme, and the max-SINR user association scheme [38]. In Fig.…”
Section: B Coverage Probabilitymentioning
confidence: 99%