Enhanced handover algorithm in LTE femtocells network | ||||
| Journal of Engineering Science and Military Technologies | ||||
| Article 2, Volume 2, Issue 4, October 2018, Page 161-171 PDF (1.39 MB) | ||||
| Document Type: Review articles | ||||
| DOI: 10.21608/ejmtc.2019.4877.1090 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Mahmoud Mandour  1; Fayez Gebali2; Ashraf D. Elbayoumy3; Gamal Mabrouk4
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| 1Military Technical Collage | ||||
| 2University of Victoria, Canada | ||||
| 3Military Technical College, Cairo, Egypt | ||||
| 4Military Technical College, Cairo, Egypt, | ||||
| Abstract | ||||
| Data rate and Coverage are the main secret factors for customer satisfaction. Today, small cell technology as femtocell can achieve the upcoming demand for higher data rate for cellular networks as well as can extend the coverage area. Femtocells are known as low cost, low power and efficient way to enhance the signal in indoor/outdoor areas with little mobile coverage.Deploying femtocells networks result in more frequent initiation of a handover (HO) procedure. The reduction of unnecessary handovers challenges is getting more considerable while more femtocells are used in the network. We propose a novel HO algorithm to eliminate the redundant handovers in Long Term Evolution (LTE) femtocells network and to nominate the most proper target femtocell for HO among many candidates. This algorithm based on the transition probability matrix to predict the user movement using Markov Chain equations. Toward this goal, we are considering Reference Symbol Received Quality (RSRQ) and Reference Symbol Received Power (RSRP), User Equipment (UE) moving direction and in which zone the UE inside the femtocell as decision criteria. | ||||
| Keywords | ||||
| Femtocell; handover; Markov chain; RSRQ; RSRP | ||||
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