Attiah, Mothana Lafta and Mohsen, Mowafak Khadom and Zakaria, Zahriladha and Awang Md Isa, Azmi and Abdulhammed, Muhannad Kaml and Dinar, Ahmed Musa (2019) Independence and fairness analysis of 5G mmWave operators utilizing spectrum sharing approach. Mobile Information Systems, 2019. pp. 1-13. ISSN 1574-017X
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Abstract
-e spectrum sharing approach (SSA) has emerged as a cost-efficient solution for the enhancement of spectrum utilization to meet the stringent requirements of 5G systems. However, the realization of SSA in 5G mmWave cellular networks from technical and regulatory perspectives could be challenging. -erefore, in this paper, an analytical framework involving a flexible hybrid mmWave SSA is presented to assess the effectiveness of SSA and investigate its influence on network functionality in terms of independence and fairness among operators. Two mmWave frequencies (28 GHz and 73 GHz) are used with different spectrum bandwidths. Various access models have been presented for adoption by four independent mobile network operators that incorporate three types of spectrum allocation (exclusive, semipooled, and fully pooled access). Furthermore, an adaptive multi-state mmWave cell selection scheme is proposed to associate typical users with the tagged mmWave base stations that provide a great signal-to-interference plus noise ratio, thereby maintaining reliable connections and enriching user experience. Numerical results show that the proposed strategy achieves considerable improvement in terms of fairness and independence among operators, which paves the way for further research activities that would provide better insight and encourage mobile network operators to rely on SSA.
Item Type: | Article |
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Uncontrolled Keywords: | Precoding, Millimeter waves, Beamforming, Mobile telecommunication systems, Signal to noise ratio, Wireless networks |
Divisions: | Faculty of Electronics and Computer Engineering |
Depositing User: | Norfaradilla Idayu Ab. Ghafar |
Date Deposited: | 07 Dec 2020 10:13 |
Last Modified: | 28 Jul 2023 15:12 |
URI: | http://eprints.utem.edu.my/id/eprint/24439 |
Statistic Details: | View Download Statistic |
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