Matches in SemOpenAlex for { <https://semopenalex.org/work/W4315630272> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W4315630272 abstract "In this paper, we design a two-timescale approach for joint uplink/downlink (UL/DL) dictionary learning and channel estimation (TTS-JDLCE) for frequency division multiplexing (FDD) massive multiple-input multiple-output (MIMO) systems in dynamic scenarios. With channel sparsity and angle reciprocity between UL and DL transmissions, the joint UL/DL dictionary is regarded as a learnable parameter to capture dynamic spatial information at a slower timescale than instantaneous downlink channel estimation. By introducing the primal-dual decomposition (PDD) framework, the original non-convex two-timescale stochastic optimization problem is decomposed into a long-term online dictionary learning subproblem and a family of short-term sparse channel estimation subproblems, and then solved in a divide-and-conquer manner, which can converge to the stationary solutions of the original problem over time. Finally, simulations show that the proposed method remarkably reduces the pilot overhead and achieves significant performance gain over various baselines." @default.
- W4315630272 created "2023-01-12" @default.
- W4315630272 creator A5011200930 @default.
- W4315630272 creator A5014867897 @default.
- W4315630272 creator A5073153992 @default.
- W4315630272 creator A5081117495 @default.
- W4315630272 date "2022-12-04" @default.
- W4315630272 modified "2023-10-17" @default.
- W4315630272 title "Two-Timescale Joint UL/DL Dictionary Learning and Channel Estimation in Massive MIMO Systems" @default.
- W4315630272 cites W2028102270 @default.
- W4315630272 cites W2120549790 @default.
- W4315630272 cites W2128865660 @default.
- W4315630272 cites W2141682101 @default.
- W4315630272 cites W2291665038 @default.
- W4315630272 cites W2530877707 @default.
- W4315630272 cites W2576906596 @default.
- W4315630272 cites W2768388424 @default.
- W4315630272 cites W2784709112 @default.
- W4315630272 cites W2954067441 @default.
- W4315630272 cites W3009470412 @default.
- W4315630272 cites W3106282754 @default.
- W4315630272 cites W3154292415 @default.
- W4315630272 cites W3160297086 @default.
- W4315630272 doi "https://doi.org/10.1109/globecom48099.2022.10001679" @default.
- W4315630272 hasPublicationYear "2022" @default.
- W4315630272 type Work @default.
- W4315630272 citedByCount "1" @default.
- W4315630272 crossrefType "proceedings-article" @default.
- W4315630272 hasAuthorship W4315630272A5011200930 @default.
- W4315630272 hasAuthorship W4315630272A5014867897 @default.
- W4315630272 hasAuthorship W4315630272A5073153992 @default.
- W4315630272 hasAuthorship W4315630272A5081117495 @default.
- W4315630272 hasConcept C111919701 @default.
- W4315630272 hasConcept C112680207 @default.
- W4315630272 hasConcept C11413529 @default.
- W4315630272 hasConcept C127162648 @default.
- W4315630272 hasConcept C127413603 @default.
- W4315630272 hasConcept C138660444 @default.
- W4315630272 hasConcept C157972887 @default.
- W4315630272 hasConcept C170154142 @default.
- W4315630272 hasConcept C18555067 @default.
- W4315630272 hasConcept C19275194 @default.
- W4315630272 hasConcept C207987634 @default.
- W4315630272 hasConcept C2524010 @default.
- W4315630272 hasConcept C2779960059 @default.
- W4315630272 hasConcept C33923547 @default.
- W4315630272 hasConcept C40409654 @default.
- W4315630272 hasConcept C41008148 @default.
- W4315630272 hasConcept C76155785 @default.
- W4315630272 hasConcept C89061704 @default.
- W4315630272 hasConceptScore W4315630272C111919701 @default.
- W4315630272 hasConceptScore W4315630272C112680207 @default.
- W4315630272 hasConceptScore W4315630272C11413529 @default.
- W4315630272 hasConceptScore W4315630272C127162648 @default.
- W4315630272 hasConceptScore W4315630272C127413603 @default.
- W4315630272 hasConceptScore W4315630272C138660444 @default.
- W4315630272 hasConceptScore W4315630272C157972887 @default.
- W4315630272 hasConceptScore W4315630272C170154142 @default.
- W4315630272 hasConceptScore W4315630272C18555067 @default.
- W4315630272 hasConceptScore W4315630272C19275194 @default.
- W4315630272 hasConceptScore W4315630272C207987634 @default.
- W4315630272 hasConceptScore W4315630272C2524010 @default.
- W4315630272 hasConceptScore W4315630272C2779960059 @default.
- W4315630272 hasConceptScore W4315630272C33923547 @default.
- W4315630272 hasConceptScore W4315630272C40409654 @default.
- W4315630272 hasConceptScore W4315630272C41008148 @default.
- W4315630272 hasConceptScore W4315630272C76155785 @default.
- W4315630272 hasConceptScore W4315630272C89061704 @default.
- W4315630272 hasFunder F4320321001 @default.
- W4315630272 hasLocation W43156302721 @default.
- W4315630272 hasOpenAccess W4315630272 @default.
- W4315630272 hasPrimaryLocation W43156302721 @default.
- W4315630272 hasRelatedWork W2125492428 @default.
- W4315630272 hasRelatedWork W2793383610 @default.
- W4315630272 hasRelatedWork W2901271455 @default.
- W4315630272 hasRelatedWork W3092731089 @default.
- W4315630272 hasRelatedWork W3190774574 @default.
- W4315630272 hasRelatedWork W3214412616 @default.
- W4315630272 hasRelatedWork W4200317983 @default.
- W4315630272 hasRelatedWork W4280499399 @default.
- W4315630272 hasRelatedWork W4287208404 @default.
- W4315630272 hasRelatedWork W4287642618 @default.
- W4315630272 isParatext "false" @default.
- W4315630272 isRetracted "false" @default.
- W4315630272 workType "article" @default.