Coherent detection requires accurate channel estimation to provide the high data rates promised by the LTE standard. However, for high-speed wireless data transmission services, channel estimation becomes a challenging task when the pilot insertion rate becomes insufficient to allow proper tracking of the channel variation. In this paper, we design a new singleinput multiple-output (SIMO) context-aware cognitive transceiver (CTR) that is able to switch to the best performing modem (modulation-demodulation) in terms of link-level throughput. For that purpose, on the top of conventional adaptive modulation and coding, we allow the context-aware CTR to make best selection among three different pilot-utilization modes: Conventional DataAided (DA) or pilot-assisted, Non-Data-Aided (NDA) or blind and Non-Data-Aided with pilot (NDA w. pilot) which is a newly proposed hybrid version between the DA and NDA modes. We also enable the CTR to make best selection between two different channel identification schemes: conventional Least Squares (LS)-type and newly developed Maximum Likelihood (ML) estimators. Depending on whether pilot symbols are used or not, we further enable the CTR to make best selection among two data detection modes: coherent or differential. Owing to extensive and exhaustive LTE-downlink link-level simulations, we are able to draw out the decision rules of the new CTR that identify the best combination triplet of pilot-use, channel-identification, and datadetection modes. The latter is able to achieve the best link-level performance against any given operating conditions in terms of channel type, mobile speed, SNR, and Channel Quality Indicator (CQI). Significant link-level throughput gains of the new proposed CTR against the conventional one (i.e., pilot-assisted LS-type channel estimation with coherent detection) can be achieved in most operating conditions and could reach as much as 700% at low SNR and high mobility!