Physical Resource Block clustering method for an OFDMA cognitive femtocell system

2014 ◽  
Vol 11 ◽  
pp. 67-77 ◽  
Author(s):  
Giulio Bartoli ◽  
Romano Fantacci ◽  
Dania Marabissi ◽  
Marco Pucci
2019 ◽  
Vol 8 (1) ◽  
pp. 180-187
Author(s):  
Shapina Abdullah ◽  
Norashidah Md. Din ◽  
Shamsul J. Elias ◽  
Adam Wong Yoon Khang ◽  
Roshidi Din ◽  
...  

The Femto-Macro heterogeneous network is a promising solution to improve the network capacity and coverage in mobile network. However interference may rise due to femtocell deployment nearby to macro user equipment (MUE) within macrocell network coverage. Femtocell offers main priority in resource allocation to its subscribed femto user equipment (FUE) rather than unsubscribed MUE. MUEs will suffer severe interference when they are placed near or within the femtocell area range especially at the cell edge. This phenomenon occurs due to the distance is far from its serving macro base station (MBS) to receive good signal strength. This paper presents a design of cell selection scheme for cell-edge MUE to select an optimal femto base station (FBS) as its primary serving cell in physical resource block allocation. In this study, the proposed cell selection consists of four main elements: measuring the closest FBS distance, Signal to Interference-plus- Noise-Ratio (SINR), physical resource block (PRB) availability and node density level for the selected base station. The main goal is to ensure celledge MUE has priority fairly with FUE in physical resource block allocation per user bandwidth demand to mitigate interference. Hence, the cell-edge MUE has good experienced on receiving an adequate user data rate to improve higher network throughput.


Author(s):  
Theodoros Alexandropoulos ◽  
◽  
Vassili Loumos ◽  
Eleftherios Kayafas

The efficiency of change detection methods, in terms of content discrimination, is degraded by the presence of noise. Furthermore, illumination changes tend to cause further degradation in change detection accuracy by swamping content changes of similar magnitude. This fact imposes the application of a method which detects illumination variations in the presence of occlusions. This paper proposes the application of a block clustering method which aims to separate content changes from noise-level changes. The algorithm is performed in conjunction with a brightness normalization technique for the correction of ambient illumination variations.


Author(s):  
Hoang Nhu Dong ◽  
Hoang Nam Nguyen ◽  
Hoang Trong Minh ◽  
Takahiko Saba

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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