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

2021 ◽  
Author(s):  
Rajiv Senapati
Keyword(s):  
Estimation Model ◽  
Capacity Estimation ◽  
Cell Capacity ◽  
Lte Advanced ◽  
Voice Service

scholarly journals Capacity Estimation Model for Signalized Intersections under the Impact of Access Point

PLoS ONE ◽  
2016 ◽  
Vol 11 (1) ◽  
pp. e0145989 ◽  
Author(s):  
Jing Zhao ◽  
Peng Li ◽  
Xizhao Zhou
Keyword(s):  
Access Point ◽  
Signalized Intersections ◽  
Estimation Model ◽  
Capacity Estimation ◽  
The Impact

scholarly journals Modelling the region-based VoLTE cell capacity estimation using resource optimisation

2019 ◽  
Vol 13 (9) ◽  
pp. 1225-1235
Author(s):  
Rajiv Senapati ◽  
Hemanta Kumar Pati
Keyword(s):  
Capacity Estimation ◽  
Cell Capacity

VoWiFi Cell Capacity Estimation using IEEE 802.11ax

2021 ◽  
Author(s):  
Ayes Chinmay ◽  
Hemanta Kumar Pati
Keyword(s):  
Capacity Estimation ◽  
Ieee 802.11Ax ◽  
Cell Capacity

A Capacity Estimation Model for a Contraflow Left-Turn Pocket Lane at Signalized Intersections

2018 ◽  
Vol 2672 (17) ◽  
pp. 22-34 ◽  
Author(s):  
Yi Zhao ◽  
Rachel M. James ◽  
Lin Xiao ◽  
Joe Bared
Keyword(s):  
Signalized Intersections ◽  
Signalized Intersection ◽  
Traffic Operations ◽  
Estimation Model ◽  
Capacity Estimation ◽  
Average Delay ◽  
Left Turn ◽  
Traffic Demand ◽  
Key Characteristics ◽  
The Impact

Alternative intersection designs are increasingly proposed and adopted by different agencies to meet the needs of growing traffic demand and constrained transportation resources. The left turn (LT) is one of the most critical movements at signalized intersections from both a safety and operations perspective. Heavy LT volumes are especially impactful to the operational efficiency of a signalized intersection and often result in queue spillback. A contraflow left-turn pocket lane (CLPL) is proposed to mitigate congestion caused by heavy LT demand and has been shown in simulation to greatly mitigate the impact of queue spillback. The CLPL dynamically uses the opposing through lane (OTL) as an additional LT lane within the signal cycle on a temporary basis when the OTL is not occupied by through traffic. While geometric design schematics and analytical procedures for estimating delay have been proposed and discussed in existing literature, methodologies for estimating capacity benefits and traffic operations are not yet well defined. This paper has three primary contributions to the literature: development of a probabilistic capacity estimation model, exploration of the impact of key characteristics (e.g., cycle length, LT demand, lane selection preference) on estimated intersection capacity, and recommendations for the real-world implementation of a CLPL. The simulation results indicate that the CLPL treatment can increase a signalized intersection’s throughput up to 25% and decrease the intersection’s average delay by 35%.

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