Cognitive Manager in Wireless Communication Networks
Cognitive manager in wireless communications is a cognitive mechanism that adjusts parameters of a user or a network according to highly dynamic environments. The decisions for the varying environment are based on learning patterns from history experiences in order to achieve more efficient communication performance.The cognitive cycle is shown in the figure below.
This project focuses on two main parts. First, patterns that deserve consideration of learning are determined, i.e. the patterns which are repeatable and can be utilized for future optimization and adaptation. Second, optimization algorithms that improve the network performance with the aid of learning patterns are developed.
The scenarios of this project include but not limited to the following:
- Long-Term-Window Resource Allocation
- Pattern: large scale fading parameter (SINR map)
- Application: resource allocation
This algorithm can be extended to multicell/heterogeneous network which considers cooperation among base stations (BS).
- Channel Correlation Map
- Pattern: delay spread and angular spread
- Application: adaptive channel estimation, adaptive channel prediction, adaptive scheduling
Quantized feedback channel decides the granularity of CSI. More feedback, less data transmission for limited bandwidth. But more feedback leads to better scheduling performance. The trade-off can be investigated.
- Secrecy Communication
- Pattern: to be determined
- Application: Optimization of secrecy communication