Abstract: A method and apparatus are disclosed from the perspective of a network. In one embodiment, the method includes the network transmitting a Semi-Persistent Scheduling (SPS) configuration to a User Equipment (UE) for configuring a second Physical Downlink Shared Channel (PDSCH). The method also includes the network transmitting a configuration to the UE for configuring a first monitoring occasion for a first Physical Downlink Control Channel (PDCCH) and a second monitoring occasion for a second PDCCH, wherein the second PDCCH is associated with the first PDCCH. The method further includes the network not allowing the first PDCCH and the second PDCCH to schedule the UE with a first PDSCH partially or fully overlapping with the second PDSCH in time domain, wherein a last symbol of a later monitoring occasion among the first and the second monitoring occasion ends less than a processing threshold before a starting symbol of the second PDSCH.

Abstract: A millimeter wave channel estimation method comprises sending signals through a millimeter wave channel according to a first beamforming matrix, performing a channel estimation on the millimeter wave to generate a first measured matrix, and estimating and obtaining at least one angle of departure of the millimeter wave channel according to the first measured matrix and an angle compressive sensing matrix. The first beamforming matrix comprises a plurality of first beamforming vectors, and the first beamforming vectors respectively corresponds to a plurality of first beamforming patterns. The first measured matrix comprises a plurality of first measured parameters respectively corresponding to the first beamforming vectors.

Abstract: A millimeter wave channel estimation method comprises sending signals through a millimeter wave channel according to a first beamforming matrix, performing a channel estimation on the millimeter wave to generate a first measured matrix, and estimating and obtaining at least one angle of departure of the millimeter wave channel according to the first measured matrix and an angle compressive sensing matrix. The first beamforming matrix comprises a plurality of first beamforming vectors, and the first beamforming vectors respectively corresponds to a plurality of first beamforming patterns. The first measured matrix comprises a plurality of first measured parameters respectively corresponding to the first beamforming vectors.

Abstract: A channel estimation system and method thereof is provided. By utilizing the nature of the millimeter-wave channel with sparse path, the channel estimation problem is transformed from estimating the entire channel matrix to estimating independent parameters of the millimeter-wave channel. These parameters are angle of arrival (AoA) and angle of departure (AoD), and complex gain of the channel paths.