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논문 기본 정보

자료유형
학술저널
저자정보
Vian S. AL-Doori (Al-Rafidain university college) Thamer M. Jamel (University of Technology-Iraq) Bashar M. Mansoor (University of Technology-Iraq)
저널정보
대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.11 No.2
발행연도
2022.4
수록면
133 - 139 (7page)

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초록· 키워드

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An impulse response is present in long-length wireless communication channels in communication systems such as massive MIMO or 5G systems that use block coding, such as Low-Density Parity-Check (LDPC) code. To deal with it, it is favorable to use block adaptive filtering instead of sequential or traditional algorithms. In this study, a block adaptive algorithm called the Speedy Euclidean Direction Search (SEDS) algorithm is proposed for a Space Division Multiple Access Base Station (SDMA) to perform adaptive beamforming operation of the system. An investigation and analysis of the performance of the SEDS algorithm were conducted using SDMA with a Multiple Input Single Output (MISO) downlink scheme that uses block processing of the data samples for a single-cell downlink. Moreover, a novel and fair comparative study was carried out between SEDS and the Block adaptive Least Mean Square (BLMS) algorithm. As far as we know, no research has used the BLMS algorithm for the SDMA system, which is another contribution of this study. The simulation results demonstrate that the SEDS algorithm has fast convergence and a very accurate estimation compared with BLMS. Moreover, the SEDS algorithm has better performance in indoor environments compared with BLMS. On the other hand, SEDS starts to be unstable for a large value of block length (L), whereas BLMS stays stable especially for outdoor environments.

목차

Abstract
1. Introduction
2. Literature Review
3. Method of Time -Domian Block Adaptive Algorithms
4. Block Adaptive Algorithms
5. Results and Discussion
6. Conclusion
References

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