Detection-assisted interference parameter estimation and interference cancellation for LTE-Advanced system

Abstract

Inter-cell interference is the main obstacle for increasing the network capacity of Long-Term Evolution Advanced (LTE-A) system. Interference Cancellation (IC) is a promising way to improve spectral efficiency. 3rd Generation Partnership Project (3GPP) raises a new research project — Network-Assisted Interference Cancellation and Suppression (NAICS) in LTE Rel-12. Advanced receivers used in NAICS include maximum likelihood (ML) receiver and symbol-level IC (SLIC) receiver. Those receivers need some interference parameters, such as rank indicator (RI), precoding matrix indicator (PMI) and modulation level (MOD). This paper presents a new IC receiver based on detection. We get the clean interfering signal assisted by detection and use it in SLIC. The clean interfering signal makes the estimation of interfering transmitted signal more accurate. So interference cancellation would be more significant. We also improve the method of interference parameter estimation that avoids estimating power boosting and precoding matrix simultaneously. The simulation results show that the performance of proposed SLIC is better than traditional SLIC and close to ML.