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- W3036584607 abstract "Meeting the demand for high-speed communication requires exploiting new frequencies and developing novel technologies. Massive MIMO and mmWave communication promise to significantly increase the overall system capacity. The communication utilizing these bands suffers from the problem of path loss which can severely downgrade the strength of the transmitted signal. However, the use of hybrid beamforming and effective high-speed channel estimation algorithm can help to tackle this problem and to invent the necessitated communication system for 5G. Our main focus in this paper is to obtain the most effective channel estimation algorithm in term of the computational time and the achievable capacity. We propose a new algorithm and make a comparison with several greedy and iterative hard thresholding algorithms. The results show that our proposed algorithm Stagewise Weak Conjugate Gradient Pursuit (SWCGP) is the most efficient algorithm such that this algorithm makes a tradeoff between the execution time (speed) and the attainable capacity." @default.
- W3036584607 created "2020-06-25" @default.
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- W3036584607 date "2019-12-01" @default.
- W3036584607 modified "2023-09-26" @default.
- W3036584607 title "Wideband mmWave Massive MIMO Channel Estimation Using Stagewise Weak Conjugate Gradient Pursuit" @default.
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- W3036584607 doi "https://doi.org/10.1109/ants47819.2019.9117965" @default.
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