Abstract: Joint demodulation of a desired transmission and an interfering transmission received from an interfering cell with an unknown combination of transmission parameters is performed. For each subcarrier, an exhaustive search for the serving cell symbols and projection for the interfering cell symbols is performed for tested hypotheses of the interfering cell, by minimizing a whitened noise parabola for each combination of searched hypothesis and hyper constellation point of the serving cell. A constellation point for the interfering cell that is closest to the minimum point of the parabola is selected, where coefficients of the parabola are calculated once for each subgroup of four modulation types of the interfering cell. A measure of likelihood for each of the tested hypotheses is calculated. A cumulative measure of likelihood for each of the tested hypotheses is calculated, and the most likely hypothesis is selected based on the cumulative measure of likelihood.

Abstract: Methods for RSRP estimation in LTE networks that perform interference cancellation are provided. In particular, a bias that is present during interference cancellation is account for in the RSRP estimation of a target cell.

Abstract: Joint demodulation of a desired transmission and an interfering transmission received from an interfering cell with an unknown combination of transmission parameters is performed. For each subcarrier, an exhaustive search for the serving cell symbols and projection for the interfering cell symbols is performed for tested hypotheses of the interfering cell, by minimizing a whitened noise parabola for each combination of searched hypothesis and hyper constellation point of the serving cell. A constellation point for the interfering cell that is closest to the minimum point of the parabola is selected, where coefficients of the parabola are calculated once for each subgroup of four modulation types of the interfering cell. A measure of likelihood for each of the tested hypotheses is calculated. A cumulative measure of likelihood for each of the tested hypotheses is calculated, and the most likely hypothesis is selected based on the cumulative measure of likelihood.

Abstract: Methods for RSRP estimation in LTE networks that perform interference cancellation are provided. In particular, a bias that is present during interference cancellation is account for in the RSRP estimation of a target cell.

Abstract: A channel estimation processor for a receiver in a wireless communication system is described. The channel estimation processor includes a stage-1 processor (STG1) arranged to pluralities of Nsym reference symbol correlation values per slot. The channel estimation processor includes a stage-2 processor (STG2) comprising a plurality of stage-2a processors for obtaining filtered outputs per slot, a respective plurality of stage-2b processors for obtaining respective slot filter results and a stage-2 adder (STG2ADD) for obtaining channel estimates for respective anchor positions. The stage-2a processors are arranged to filter respective pluralities of reference symbol correlation values using respective reference symbol filters (ga) to obtain a respective filtered output per slot.

Abstract: A channel estimation processor for a receiver in a wireless communication system is described. The channel estimation processor includes a stage-1 processor (STG1) arranged to pluralities of Nsym reference symbol correlation values per slot. The channel estimation processor includes a stage-2 processor (STG2) comprising a plurality of stage-2a processors for obtaining filtered outputs per slot, a respective plurality of stage-2b processors for obtaining respective slot filter results and a stage-2 adder (STG2ADD) for obtaining channel estimates for respective anchor positions. The stage-2a processors are arranged to filter respective pluralities of reference symbol correlation values using respective reference symbol filters (ga) to obtain a respective filtered output per slot.