Decoding-Aided Parameter Estimation for Interference Cancellation and Suppression Receivers in LTE-Advanced Systems

Abstract

Parameter estimation of interfering signals transmitted by neighboring cells has become one of the important signal processing problems for Long-Term Evolution Advanced (LTE-A) systems. Knowledge of the interfering signal parameters is required to improve the downlink performance in interferencelimited scenarios by providing estimated parameters to nonlinear interference cancellation and suppression receivers, such as maximum likelihood (ML) and symbol-level interference cancellation (SLIC). In this paper, we consider the problem of interfering signal parameter estimation (blind detection) in the presence of the useful signal with known parameters transmitted by the serving cell. To improve the performance of parameter estimation, soft cancellation of the serving signal after linear Minimum Mean Squared Error Interference Rejection Combining (MMSE-IRC) and turbo decoding is proposed. The parameters of the interfering signals such as precoding vectors, number of spatial layers and power boosting are estimated after soft compensation of the useful signal and are subsequently used in non-linear receivers to improve interference cancellation and suppression efficiency. The results show that such approach for parameter estimation provides performance for non-linear interference cancellation and suppression receivers close to the ideal system where interfering signal parameters are perfectly known. Keywords-LTE-A, blind interference cancellation and suppression, interfering signal parameter estimation, turbo decoding.I.

Deep-Neural-Network Based Fall-Back Mechanism in Interference-Aware Receiver Design

“…In design of interference-aware receiver, two approaches are widely applied, namely, enhanced interference-rejection-combining (eIRC) and symbol-level interference-cancellation (SLIC) [1]. SLIC detects and reconstructs interference, and then remove it from the received signal before detecting useful signal, while eIRC suppresses interference instead of canceling it [2]. SLIC is more advanced, but its computational cost and processing latency are also higher.…”