Abstract
The network-assisted interference cancellation and suppression (NAICS) feature has been studied by the 3rd Generation Partnership Project (3GPP) [1]. A user equipment (UE) can perform interference cancellation under the assumption that the interference parameters including traffic-to-pilot power ratio (TPR), rank indicator (RI), precoding matrix indicator (PMI) and modulation level (MOD) are known to the UE through the aid of network signaling. This assumption, however, not only leads to an excessive increase in the network-signaling load but also limits the scheduling performance. This paper presents interference cancellation techniques based on blindly-detected NAICS interference parameters. We first investigate blind detection methods for estimating a TPR being used by interfering base station (BS) and then propose low-complexity blind detection (BD) algorithms based on max-log approximation for estimating the interference parameters RI, PMI, and MOD. In particular, we introduce a compensation method for correcting the error imposed by the suboptimal approximation. The link-level simulation results are provided to verify the efficacy of the proposed interference detection algorithms and interference cancellation techniques.
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