Mobility Management in Femtocell Networks

2015 ◽  
pp. 289-324
Keyword(s):  
Mobility Management ◽  
Femtocell Networks

scholarly journals Mobility Management for Vehicular User Equipment in LTE/Mobile Femtocell Networks

2017 ◽  
Vol 9 (4) ◽  
pp. 60-87
Author(s):  
Rand Raheem ◽  
Aboubaker Lasebae ◽  
Mahdi Aiash ◽  
Jonathan Loo
Keyword(s):  
Outage Probability ◽  
Mobility Management ◽  
Link Adaptation ◽  
Ergodic Capacity ◽  
User Equipment ◽  
Link Quality ◽  
Direct Transmission ◽  
Femtocell Networks ◽  
Effective Technique ◽  
Penetration Loss

Vehicular User Equipment (UE) performance during mobility faces two issues relating to signaling and transmission, namely Handover (HO) and link adaptation. This paper shows that both processes are experiencing degradation during mobility and that vehicular UEs suffer from call drops and loss of connections. Therefore, this work presents an effective technique using Mobile-Femtos to improve vehicular UEs' HO process and link quality. Results show that vehicular UEs attached to a Mobile-Femto achieved better signalling and Link Ergodic capacity and as a consequence the outage probability was reduced. The achieved results indicated that deploying Mobile-Femtos under 25dB Vehicular Penetration Loss (VPL) has improved the vehicular UE Link Ergodic capacity by 1% and reduced the signal outage probability by 1.8% compared to the eNB direct transmission. Consequently, Drop Calls Probability (DCP) and Block Calls Probability (BCP) have been reduced by 7% and 14% respectively compared to the direct transmission from the eNB.

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

An Optimized Handover Algorithm for LTE-A Femtocell Networks

2019 ◽  
Vol 51 (01) ◽  
pp. 81-86
Author(s):  
A. HUSSAIN ◽  
M. ASHRAF ◽  
S. JAN ◽  
Z. MUFTI
Keyword(s):  
Femtocell Networks ◽  
Handover Algorithm
Sign in / Sign up

Export Citation Format

Share Document