DocumentCode :
3580535
Title :
Performance Improvement of Outage Users at Cell Edges through Cognitive-Femtocell Deployment over Macrocell Network
Author :
Ghosh, Joydev ; Roy, Sanjay Dhar
Author_Institution :
Dept. of Electron. & Tele-Commun. Eng., Horizons Inst. of Technol., Durgapur, India
fYear :
2014
Firstpage :
458
Lastpage :
462
Abstract :
This research focuses on the problem of cell edge user coverage in the context of femtocell networks operating within the locality of macro cell border. The macro cell-edge users get assisted by the cognitive-femto base station (FBS) to receive a consistent quality of service (QoS) because of their long distance from the macro base station (MBS). Considering various environment factors such as wall structure, number of walls, distance between macro cell and users, interference effect (i.e., cotier and cross-tier), we compute not only the overall outage probability of single input single output (SISO) system and single input multiple output (SIMO) system users but also based on sub carrier and power allocation the performance of the two tier network is analysed with macro cell throughput as the performance metric. Finally, the effectiveness of the scheme is verified by extensive matlab simulation.
Keywords :
cognitive radio; femtocellular radio; probability; quality of service; radiofrequency interference; FBS; MBS; QoS; Quality of Service; SIMO system; SISO system; cell edge user coverage; cognitive femto base station; cognitive femtocell deployment; extensive MATLAB simulation; femtocell networks; interference effect; macro base station; macrocell network; outage probability; outage users; performance improvement; power allocation; single input single output system; subcarrier allocation; Base stations; Interference; Macrocell networks; Propagation losses; Receivers; Throughput; Transmitting antennas; Cognitive Femtocell Networks; Macrocell Throughput; Okumura-Hata Propagation Pathloss Model (Empirical Model); Outage Probability; SISO and SIMO users;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
Print_ISBN :
978-1-4799-6928-9
Type :
conf
DOI :
10.1109/CICN.2014.107
Filename :
7065526
Link To Document :
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