scholarly journals Modeling of Call Dropping in Well-Established Cellular Networks

2007 ◽  
Vol 2007 (1) ◽  
Author(s):  
Gennaro Boggia ◽  
Pietro Camarda ◽  
Alessandro D'Alconzo
Keyword(s):  
Cellular Networks ◽  
Call Dropping

scholarly journals Optimized Hybrid Resource Allocation in Wireless Cellular Networks with and without Channel Reassignment

2010 ◽  
Vol 2010 ◽  
pp. 1-11 ◽  
Author(s):  
Xin Wu ◽  
Arunita Jaekel ◽  
Ataul Bari ◽  
Alioune Ngom
Keyword(s):  
Cellular Networks ◽  
Channel Assignment ◽  
Network Performance ◽  
Resonance Condition ◽  
Soft Constraints ◽  
Hard Constraints ◽  
Call Dropping ◽  
Incoming Call ◽  
Hard And Soft Constraints ◽  
Assignment Scheme

In cellular networks, it is important to determine an optimal channel assignment scheme so that the available channels, which are considered as “limited” resources in cellular networks, are used as efficiently as possible. The objective of the channel assignment scheme is to minimize thecall-blockingand thecall-droppingprobabilities. In this paper, we present two efficient integer linear programming (ILP) formulations, foroptimallyallocating a channel (from a pool of available channels) to an incoming call such that both “hard” and “soft” constraints are satisfied. Our first formulation, ILP1, does not allow channel reassignment of the existing calls, while our second formulation, ILP2, allows such reassignment. Both formulations can handle hard constraints, which includesco-siteandadjacent channelconstraints, in addition to the standardco-channelconstraints. The simplified problem (with only co-channel constraints) can be treated as a special case of our formulation. In addition to the hard constraints, we also consider soft constraints, such as, thepacking condition, resonance condition,andlimiting rearrangements, to further improve the network performance. We present the simulation results on a benchmark 49 cell environment with 70 channels that validate the performance of our approach.

scholarly journals Neighbor Cell List Optimization based on Game Theory and Location Information for the Handover Process in Dense Fcns.

2020 ◽  
Vol 9 (1) ◽  
pp. 120-126
Keyword(s):  
Game Theory ◽  
Cellular Networks ◽  
Failure Probability ◽  
Network Performance ◽  
Location Information ◽  
Coverage Area ◽  
Indoor Coverage ◽  
Call Dropping ◽  
Seamless Transition ◽  
Handover Process

The integration of cellular networks allows mobile users to eliminate poor indoor coverage and call dropping probability. Femto stations (FS’s) appeared to be one of the innovative solutions that enhanced network coverage and the Quality of Service (QoS) when servicing indoor users. The cellular network Operator can potentially benefit by employing FS inside buildings and shares the allocated spectrum among different network entities. The seamless handover (HO) process between network entities is a major challenge of the Femto cellular networks (FCNs). Furthermore, the minimum and appropriate neighbor Femto list (NFL) is the main aim to guarantee the complete execution of the HO process. In this paper, an algorithm is proposed for power control in dense Femto Stations environment as long as possible through the Nash non-cooperative game theory. additionally, it provides location information mechanism to ensure a seamless transition between different network entities based on detected frequency from neighbor FS’s, signal to interference noise ratio (SINR), as well as the location information of FS in the coverage area. Simulation results show that the proposed algorithm reduces the HO failure probability through improving the NFL by deducting 40% of the amount of FSs in the NFL. As compared to the traditional scheme based on RSSI and frequency allocation, with increasing the number of FSs, there is around 40- 50% reduction in the probability that the target FS is not included in the NFL which improves the network performance and lowers HO failure probability

Stochastic Geometry Analysis of Cellular Networks

2018 ◽  
Author(s):  
Bartłomiej Błaszczyszyn ◽  
Martin Haenggi ◽  
Paul Keeler ◽  
Sayandev Mukherjee
Keyword(s):  
Cellular Networks ◽  
Stochastic Geometry ◽  
Geometry Analysis

Femtocell Selection Scheme for Reducing Unnecessary Handover and Enhancing Downlink QoS in Cognitive Femtocell Networks

2017 ◽  
Author(s):  
Hoang Nhu Dong ◽  
Hoang Nam Nguyen ◽  
Hoang Trong Minh ◽  
Takahiko Saba
Keyword(s):  
Cellular Networks ◽  
Estimation Methods ◽  
Mobility Prediction ◽  
Capacity Estimation ◽  
Femtocell Networks ◽  
Selection Scheme ◽  
Indoor Communications ◽  
Performance Results ◽  
Cognitive Femtocell

Femtocell networks have been proposed for indoor communications as the extension of cellular networks for enhancing coverage performance. Because femtocells have small coverage radius, typically from 15 to 30 meters, a femtocell user (FU) walking at low speed can still make several femtocell-to-femtocell handovers during its connection. When performing a femtocell-to-femtocell handover, femtocell selection used to select the target handover femtocell has to be able not only to reduce unnecessary handovers and but also to support FU’s quality of service (QoS). In the paper, we propose a femtocell selection scheme for femtocell-tofemtocell handover, named Mobility Prediction and Capacity Estimation based scheme (MPCE-based scheme), which has the advantages of the mobility prediction and femtocell’s available capacity estimation methods. Performance results obtained by computer simulation show that the proposed MPCE-based scheme can reduce unnecessary femtocell-tofemtocell handovers, maintain low data delay and improve the throughput of femtocell users. DOI: 10.32913/rd-ict.vol3.no14.536

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