A First-Order Primal-Dual Method for Saddle Point Optimization of PAPR Problem in MU-MIMO-OFDM Systems

D. Singh, R. K. Sarin

A First-Order Primal-Dual Method for Saddle Point Optimization of PAPR Problem in MU-MIMO-OFDM Systems

Číslo: 2/2018
Periodikum: Radioengineering Journal
ISBN: 1210-2512
DOI: 10.13164/re.2018.0549

Klíčová slova: MIMO-OFDM, peak-to-average power ratio (PAPR) reduction, saddle point problem, convex optimization, MIMO-OFDM, snížení poměru špiček k průměrnému výkonu (PAPR), problém se sedlovým bodem, konvexní optimalizace

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Anotace: This paper investigates the use of a particular splitting-based optimization technique for constrained l∞-norm based peak-to-average power ratio (PAPR) reduction problem in multiuser orthogonal frequency-division multiplexing (OFDM) based multiple-input multi-output (MIMO) systems. PAPR reduction and multi-user interference (MUI) cancelation are considered in a saddle-point formulation on the downlink of a multi-user MIMO-OFDM system and an efficient primal-dual hybrid gradient (PDHG) inspired algorithm with easy-to-evaluate proximal operators is developed. The proposed algorithm converges significantly faster to satisfactory solutions with much improved asymptotical convergence rate than existing methods. Numerical results illustrate the superior performance of the proposed algorithm over existing methods in terms of PAPR reduction for different MIMO configurations.