Deep Learning Based Multi-user Interference Cancellation Technology
نویسندگان
چکیده
منابع مشابه
Interference cancellation and blind equalization for linear multi-user systems
Potential applications of blind channel identi cation and equalization in wireless communication systems have been recently explored. For multi-user systems that are irreducible and column-reduced, second order statistical methods normally can identify channel dynamics up to a unitary mixing matrix. In this paper, we investigate the equalizability of desired users and the cancellation of unwant...
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An interference alignment (IA) scheme for interference channels was recently proposed to achieve the maximum degrees of freedom (DoF). Although most studies of IA focus on network throughput, that is, DoF, reliability in terms of diversity order is also an important performance measure. In this study, interference cancellation (IC) scheme based on Alamouti code in the multi-access scenario is a...
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Iterative multi-user detection and time-variant channel estimation in a multi-carrier (MC) code division multiple access (CDMA) uplink requires high computational complexity. This is mainly due to the linear minimum mean square error (MMSE) filters for data detection and time-variant channel estimation. We develop an algorithm based on the Krylov subspace method to solve a linear system with lo...
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Multi stage Parallel Interference Cancellation (PIC) technique gives good performance compared to Successive Interference Cancellation (SIC) method, but biased decision statistic and complexity problems are raised due to imperfect estimation of Multiple Access Interference (MAI) as number of stages increases. Partial Parallel Interference Cancellation (PPIC) technique is proposed to cancel the ...
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ژورنال
عنوان ژورنال: Science Discovery
سال: 2019
ISSN: 2331-0642
DOI: 10.11648/j.sd.20190706.11