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논문 기본 정보

자료유형
학술저널
저자정보
Gaspard Gashema (Kumoh National Institute of Technology) Dong-Seong Kim (Kumoh National Institute of Technology) Jae-Min Lee (Kumoh National Institute of Technology)
저널정보
대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.8 No.2
발행연도
2019.4
수록면
126 - 135 (10page)
DOI
10.5573/IEIESPC.2019.8.2.126

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초록· 키워드

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This paper emphasizes a method for improving spectral efficiency based on small cells (SCs) deployed in an existing macrocell (MC), which ultimately results in overall enhancement of the network capacity and coverage area. In addition, it allows an unlicensed secondary network to deliver messages through opportunistic access to the licensed network spectrum. By deploying SCs, users either inside or outside high residential buildings and/or commercial buildings can acquire signals during communications without interruption. The connectivity in the alliance of the two-tier networks becomes abundant, resulting in spectral efficiency improvement. In this paper, we first recall performance based on the Vandermonde-subspace frequency division multiplexing (VFDM) spectrum-sharing technique for spectrum management under both conventional (single-user) and enhanced scenarios; subsequently, the proposed method is introduced for comparison purposes. The performance of both methods is manifested in simulation results for the achievable rate, which demonstrate that the proposed approach outperforms enhanced VFDM and is a potential candidate in next-generation cellular technology. The motivation for the preference for SC deployment in the proposed approach is due to worthy characteristics (low power, low cost, very light weight, and self-organization). Unlike MCs, which need a considerable budget, they are installed anywhere without a lot of expense, and hence, save the network infrastructure.

목차

Abstract
1. Introduction
2. Capacity Achievement in a Cognitive Network under the VFDM Technique
3. System Model and Approach
4. Outperformance of the Proposed Method Compared to the Previous Method
5. Conclusion and Future Work
References

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