Carrier-Grade Voice over LTE: Advantages and Challenges

Hosangadi, Gurudutt; Rao, A.M.; Bartlett, R. J.; Schlesener, M.C.

doi:10.1109/vtcfall.2014.6965897

Cited by 4 publications

(1 citation statement)

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“…VoLTE cell capacity estimation for developing effective and efficient CAC policy has been an active area of research in mobile communication. According to the work reported in [9–13], cell capacity relates to the maximum number of active concurrent voice users that can be accommodated within the cell while maintaining the desired voice quality. Higher capacity enables the network operators to satisfy more mobile users especially in dense urban area and there by reduces the number of eNBs required within the geographical area.…”

Section: Related Workmentioning

confidence: 99%

Modelling the region‐based VoLTE cell capacity estimation using resource optimisation

Senapati

Pati

2019

IET Communications

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Section: Related Workmentioning

confidence: 99%

Modelling the region‐based VoLTE cell capacity estimation using resource optimisation

Senapati

Pati

2019

IET Communications

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VoLTE cell capacity estimation using AMR‐WB codecs and considering VAF, SID, packet bundling, and TTI bundling

Senapati

Pati

2019

Int J Communication

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SummaryThe Voice over Long‐Term Evolution (VoLTE) cell capacity notably has an influence on Call Admission Control (CAC) in Long‐Term Evolution (LTE) network. In literature, many techniques have been studied to estimate the LTE cell capacity, but most of them are throughput‐based physical layer (PHY layer) estimate. These estimates do not consider delay requirement, transmission loss, and protocol overhead. In this paper, we have proposed novel analytical models for estimating the VoLTE cell capacity in terms of number of users by considering available physical resource blocks (PRBs) in each bandwidth, voice traffic‐based characteristics such as voice activity factor (VAF), silent insertion descriptor (SID), and radio‐specific techniques such as packet bundling and transmission time interval (TTI) bundling. Our developed analytical models are then used to investigate the effect of modulation and coding scheme (MCS) and Adaptive Multi‐RateWideband (AMR‐WB) voice codec on VoLTE cell capacity. Results show that higher order modulation scheme with lower bit voice codec accommodates maximum number of VoLTE users. Further, the impact of VAF, SID, packet bundling, and TTI bundling on VoLTE cell capacity is investigated in different radio conditions. Finally, using our proposed model, the effect of hybrid automatic repeat request (HARQ) retransmission on VoLTE cell capacity is investigated.

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LTE-advanced cell capacity estimation model and algorithm for voice service

Senapati

2021

J Ambient Intell Human Comput

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Carrier-Grade Voice over LTE: Advantages and Challenges

Cited by 4 publications

References 1 publication

Modelling the region‐based VoLTE cell capacity estimation using resource optimisation

Modelling the region‐based VoLTE cell capacity estimation using resource optimisation

VoLTE cell capacity estimation using AMR‐WB codecs and considering VAF, SID, packet bundling, and TTI bundling

LTE-advanced cell capacity estimation model and algorithm for voice service

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