🤖 AI Summary
This work addresses the challenge of channel estimation in TDD systems under contiguous subband and fairness constraints by proposing a geometry-aware joint time–frequency pilot design. Operating within a sliding-window latest-slot recovery framework, the method uniquely integrates minimum coverage radius minimization with collinearity control to simultaneously ensure geometric coverage in the delay–Doppler domain and pilot signal independence. A symmetry-avoidance strategy is further introduced to refine the pilot structure. Leveraging mixed-integer programming and sparse channel modeling, the proposed MCC pilot pattern substantially enhances both proxy geometric metrics and latest-slot channel reconstruction performance, while remaining compatible with practical TDD resource allocation requirements.
📝 Abstract
This letter studies pilot design for orthogonal frequency-division multiplexing-based time-division duplex (TDD) systems under a sliding-window latest-slot recovery framework that jointly exploits delay--Doppler sparsity across recent slots. Under contiguous-subband and fairness constraints, this viewpoint naturally leads to a geometry-aware time--frequency joint pilot assignment. We show that effective patterns should balance grid coverage and redundant-collinearity suppression, with an additional symmetry-avoidance refinement when complete collinearity elimination is infeasible. Based on these principles, we formulate a mixed-integer construction method compatible with practical TDD allocation. Numerical results show that minimum-coverage-radius and collinearity-control (MCC) pattern improves both surrogate geometry metrics and latest-slot recovery performance.