Generalized Nearest Neighbor Decoding for MIMO Channels with Imperfect Channel State Information
| Autor: | Shuqin Pang, Wenyi Zhang |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
FOS: Computer and information sciences
Physics::Instrumentation and Detectors Computer science Computer Science - Information Theory Information Theory (cs.IT) ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS MIMO Data_CODINGANDINFORMATIONTHEORY Mutual information k-nearest neighbors algorithm Channel capacity Single antenna interference cancellation Fading Algorithm Decoding methods Computer Science::Information Theory Communication channel |
| Zdroj: | ITW |
| DOI: | 10.1109/itw48936.2021.9611392 |
| Popis: | Information transmission over a multiple-input-multiple-output (MIMO) fading channel with imperfect channel state information (CSI) is investigated, under a new receiver architecture which combines the recently proposed generalized nearest neighbor decoding rule (GNNDR) and a successive procedure in the spirit of successive interference cancellation (SIC). Recognizing that the channel input-output relationship is a nonlinear mapping under imperfect CSI, the GNNDR is capable of extracting the information embedded in the joint observation of channel output and imperfect CSI more efficiently than the conventional linear scheme, as revealed by our achievable rate analysis via generalized mutual information (GMI). Numerical results indicate that the proposed scheme achieves performance close to the channel capacity with perfect CSI, and significantly outperforms the conventional pilot-assisted scheme, which first estimates the CSI and then uses the estimated CSI as the true one for coherent decoding. Comment: 6 pages, 3 figures |
| Databáze: | OpenAIRE |
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