| 摘要 |
System and method for reducing signaling overhead related to scheduling of uplink and downlink radio resources to wireless devices (e.g., sensors or Machine-to-Machine (M2M) devices) that are primarily stationary in a cellular network. Because these wireless devices are non-moving, time-frequency channel conditions have a much lower variance for them as compared to other mobile devices in the network. Hence, the (semi)stationary channel can be estimated over time with the help of statistical methods and machine learning techniques, and stationary devices can be then instructed to stop reporting uplink and/or downlink channel condition related information to the network until further notice. When performance degradation is noticed by the base station, the scheduler may instruct the device to resume its channel condition reporting. As a byproduct of this solution, the energy consumed within such stationary terminals is reduced due to significant reductions in the number of channel measurements, their processing, and reporting. |
