Interference cancelation for high-density fifth-generation relaying network using stochastic geometrical approach
In order to resolve the issue of coverage limitation for the future fifth-generation network, deploying a relay node within a cell is one of the most capable and cost-effective solution, which not only enhances the coverage but also improves the spectral efficiency. However, this solution leads to t...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-07-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147719855879 |
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| _version_ | 1832556814058651648 |
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| author | MHD Nour Hindia Faizan Qamar Talib Abbas Kaharudin Dimyati Mohamad Sofian Abu Talip Iraj Sadegh Amiri |
| author_facet | MHD Nour Hindia Faizan Qamar Talib Abbas Kaharudin Dimyati Mohamad Sofian Abu Talip Iraj Sadegh Amiri |
| author_sort | MHD Nour Hindia |
| collection | DOAJ |
| description | In order to resolve the issue of coverage limitation for the future fifth-generation network, deploying a relay node within a cell is one of the most capable and cost-effective solution, which not only enhances the coverage but also improves the spectral efficiency. However, this solution leads to the undesired interferences from nearby base station and relay nodes that affects user’s signal-to-interference-plus-noise ratio and can cause the ambiguous received signal at the user end. In this article, we have analyzed a relay-based interference-limited network at millimeter wave frequency and proposed a Poisson point process–based model using a stochastic geometrical approach. The results for the proposed Poisson point process model have been evaluated in terms of success probability, network ergodic capacity, and outage probability, compared with the ideal grid model and conventional multiple-antenna ultra-dense network model. The results proved that the success probability and ergodic capacity for the proposed model are 3.5% and 2.3% higher as compared to the most commonly used model for the high-density network, respectively. Furthermore, the results have been analyzed at different multiple-input-multiple-output antenna configuration, which validates the model in the improvement of overall network performance even for higher number of antennas. |
| format | Article |
| id | doaj-art-52495655a8a14fda85ce048c2042d2d2 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2019-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-52495655a8a14fda85ce048c2042d2d22025-02-03T05:44:18ZengWileyInternational Journal of Distributed Sensor Networks1550-14772019-07-011510.1177/1550147719855879Interference cancelation for high-density fifth-generation relaying network using stochastic geometrical approachMHD Nour Hindia0Faizan Qamar1Talib Abbas2Kaharudin Dimyati3Mohamad Sofian Abu Talip4Iraj Sadegh Amiri5Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, MalaysiaDepartment of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, MalaysiaDepartment of Electronic Engineering, NED University of Engineering & Technology, Karachi, PakistanDepartment of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, MalaysiaDepartment of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, MalaysiaFaculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, VietnamIn order to resolve the issue of coverage limitation for the future fifth-generation network, deploying a relay node within a cell is one of the most capable and cost-effective solution, which not only enhances the coverage but also improves the spectral efficiency. However, this solution leads to the undesired interferences from nearby base station and relay nodes that affects user’s signal-to-interference-plus-noise ratio and can cause the ambiguous received signal at the user end. In this article, we have analyzed a relay-based interference-limited network at millimeter wave frequency and proposed a Poisson point process–based model using a stochastic geometrical approach. The results for the proposed Poisson point process model have been evaluated in terms of success probability, network ergodic capacity, and outage probability, compared with the ideal grid model and conventional multiple-antenna ultra-dense network model. The results proved that the success probability and ergodic capacity for the proposed model are 3.5% and 2.3% higher as compared to the most commonly used model for the high-density network, respectively. Furthermore, the results have been analyzed at different multiple-input-multiple-output antenna configuration, which validates the model in the improvement of overall network performance even for higher number of antennas.https://doi.org/10.1177/1550147719855879 |
| spellingShingle | MHD Nour Hindia Faizan Qamar Talib Abbas Kaharudin Dimyati Mohamad Sofian Abu Talip Iraj Sadegh Amiri Interference cancelation for high-density fifth-generation relaying network using stochastic geometrical approach International Journal of Distributed Sensor Networks |
| title | Interference cancelation for high-density fifth-generation relaying network using stochastic geometrical approach |
| title_full | Interference cancelation for high-density fifth-generation relaying network using stochastic geometrical approach |
| title_fullStr | Interference cancelation for high-density fifth-generation relaying network using stochastic geometrical approach |
| title_full_unstemmed | Interference cancelation for high-density fifth-generation relaying network using stochastic geometrical approach |
| title_short | Interference cancelation for high-density fifth-generation relaying network using stochastic geometrical approach |
| title_sort | interference cancelation for high density fifth generation relaying network using stochastic geometrical approach |
| url | https://doi.org/10.1177/1550147719855879 |
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