A method for selecting at least one operating parameter of a communication system, comprising: determining a receive signal strength indicator, RSSI, for a communication signal; selecting a data set comprising a plurality of known datum contained in the communication signal, wherein each known datum has a predetermined value; determining a least squares channel estimate, LSCE, for each known datum in the data set by dividing each known datum's received value by its predetermined value; forming Yule-Walker equations based on, at least in part, correlation coefficients determined for the data set; solving the Yule-Walker equations to determine at least a variance of linear estimation error wherein solving the Yule-Walker equations comprises determining linear combination coefficients for at least one of the known datum; determining an intermediate value D for the communication signal based on, at least in part, a received value of at least one of the plurality of known datum contained in the data set, a predetermined value of the at least one known datum and a channel estimate, the intermediate value D being D = 1 T ∑ t = 1 T D t where D t = 1 N p ∑ i = 1 N p r i - p i ⁢ h ̃ i 2, N p is the number of known datum per tile T, r i is a receive value of a respective pilot symbol i after Fast Fourier Transform, and h̃ i is the channel estimate at position i within a tile; estimating a carrier to interference and noise ratio, CINR, based on, at least in part, the RSSI, the variance and the intermediate value; and estimating the CINR is further based on, at least in part, a scalar determined from the linear combination coefficients, wherein the scalar is determined by: S = 1 + | a 2 | 2 + | a 3 | 2 +... + | a N p | 2, where a 2, a 3,..., a N p are linear combination coefficients; and selecting the operating parameter based on, at least in part, the estimated CINR. determining a receive signal strength indicator, RSSI, for a communication signal; selecting a data set comprising a plurality of known datum contained in the communication signal, wherein each known datum has a predetermined value; determining a least squares channel estimate, LSCE, for each known datum in the data set by dividing each known datum's received value by its predetermined value; forming Yule-Walker equations based on, at least in part, correlation coefficients determined for the data set; solving the Yule-Walker equations to determine at least a variance of linear estimation error wherein solving the Yule-Walker equations comprises determining linear combination coefficients for at least one of the known datum; determining an intermediate value D for the communication signal based on, at least in part, a received value of at least one of the plurality of known datum contained in the data set, a predetermined value of the at least one known datum and a channel estimate, the intermediate value D being D = 1 T ∑ t = 1 T D t where D t = 1 N p ∑ i = 1 N p r i - p i ⁢ h ̃ i 2, N p is the number of known datum per tile T, r i is a receive value of a respective pilot symbol i after Fast Fourier Transform, and h̃ i is the channel estimate at position i within a tile; estimating a carrier to interference and noise ratio, CINR, based on, at least in part, the RSSI, the variance and the intermediate value; and estimating the CINR is further based on, at least in part, a scalar determined from the linear combination coefficients, wherein the scalar is determined by: S = 1 + | a 2 | 2 + | a 3 | 2 +... + | a N p | 2, where a 2, a 3,..., a N p are linear combination coefficients; and S = 1 + | a 2 | 2 + | a 3 | 2 +... + | a N p | 2, where a 2, a 3,..., a N p are linear combination coefficients; and selecting the operating parameter based on, at least in part, the estimated CINR.