Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , a novel Kalman filter-based por allocation scheme is developed for cooperative networks with inaccurate channel state information (CSI). The channel estimation error is embedded in the por allocation model which results in uncertain linear and time varying system. The robust and constrained Kalman filter (RCKF) scheme adapts the allocated por to channel variation while satisfying the average bit error probability (BEP) requirements of each subscriber. The proposed scheme's low complexity and robustness to channel estimation inaccuracy make it practical for real networks implementations. Simulation results show that the proposed scheme converges to the optimal allocation with light computational burden despite of the inaccuracy in the received CSI.
['Mohamad Khattar Awad', 'Veluppillai Mahinthan', 'Xuemin Shen', 'Jon W. Mark']
I am writing a research paper on a idea Power Allocation for Cooperative Diversity Networks with Inaccurate CSI: A Robust and Constrained Kalman Filter Approach
[{"from": "human", "value": "I am writing a research paper on a idea Power Allocation for Cooperative Diversity Networks with Inaccurate CSI: A Robust and Constrained Kalman Filter Approach"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , a novel Kalman filter-based por allocation scheme is developed for cooperative networks with inaccurate channel state information (CSI). The channel estimation error is embedded in the por allocation model which results in uncertain linear and time varying system. The robust and constrained Kalman filter (RCKF) scheme adapts the allocated por to channel variation while satisfying the average bit error probability (BEP) requirements of each subscriber. The proposed scheme's low complexity and robustness to channel estimation inaccuracy make it practical for real networks implementations. Simulation results show that the proposed scheme converges to the optimal allocation with light computational burden despite of the inaccuracy in the received CSI."}]