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A Novel HGBBDSA-CTI Approach for Subcarrier Allocation in Heterogeneous Network

Author

Listed:
  • Mohammad Kamrul Hasan

    (Universiti Malaysia Sarawak (UNIMAS)
    International Islamic University Malaysia)

  • Ahmad Fadzil Ismail

    (International Islamic University Malaysia)

  • Shayla Islam

    (Green University of Bangladesh)

  • Wahidah Hashim

    (Universiti Tenaga Nasional (UNITEN))

  • Musse Mohamud Ahmed

    (Universiti Malaysia Sarawak (UNIMAS))

  • Imran Memon

    (Zhejiang University)

Abstract

In recent times, Heterogeneous Network (HetNet) achieves the capacity and coverage for indoors through the deployment of small cells i.e. femtocells (HeNodeBs). These HeNodeBs are plug-and-play Customer Premises Equipment’s which are associated with the internet protocol backhaul to macrocell (macro-eNodeB). The random placement of HeNodeBs deployed in co-channel along with macro-eNodeB is causing severe system performance degradation. Thereby, these HeNodeBs are suggested as the ultimate and the most significant cause of interference in Orthogonal Frequency-Division Multiple-Access based HetNets due to the restricted co-channel deployment. The CTI in such systems can significantly reduce the throughput, and the outages can rise to the unacceptable limit or extremely high levels. These lead to severe system performance degradation in HetNets. This paper presents a novel HGBBDSA-CTI approach capable of strategically allocate the subcarriers and thereby improves the throughput as well as the outage. The enhanced system performance is able to mitigate CTI issues in HetNets. This paper also analyses the time complexity for the proposed HGBBDSA algorithm and also compares it with the Genetic Algorithm-based Dynamic Subcarrier Allocation (DSA), and Particle Swarm Optimization-based DSA as well. The key target of this study is to allocate the unoccupied subcarriers by sharing among the HeNodeBs. The reason is also to enhance the system performance such as throughput of HeNodeB, the average throughput of HeNodeB Users, and outage. The simulation results show that the proposed HGBBDSA-CTI approach enhances the average throughput (92.05 and 74.44%), throughput (30.50 and 74.34%), and the outage rate reduced to 52.9 and 50.76% compare with the existing approaches. The result also indicates that the proposed HGBBDSA approach has less time complexity than the existing approaches.

Suggested Citation

  • Mohammad Kamrul Hasan & Ahmad Fadzil Ismail & Shayla Islam & Wahidah Hashim & Musse Mohamud Ahmed & Imran Memon, 2019. "A Novel HGBBDSA-CTI Approach for Subcarrier Allocation in Heterogeneous Network," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 70(2), pages 245-262, February.
    • Handle: RePEc:spr:telsys:v:70:y:2019:i:2:d:10.1007_s11235-018-0473-x
    DOI: 10.1007/s11235-018-0473-x
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    Cited by:

    1. Prashant Kumar & Naveen Chauhan & Mohit Kumar & Lalit K. Awasthi, 2023. "Clustering based opportunistic traffic offloading technique for device-to-device communication," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(3), pages 827-839, July.
    2. Nahla Nurelmadina & Mohammad Kamrul Hasan & Imran Memon & Rashid A. Saeed & Khairul Akram Zainol Ariffin & Elmustafa Sayed Ali & Rania A. Mokhtar & Shayla Islam & Eklas Hossain & Md. Arif Hassan, 2021. "A Systematic Review on Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications," Sustainability, MDPI, vol. 13(1), pages 1-20, January.

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