Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  proposes an enhanced opportunistic beamforming scheme with por allocation search algorithms over finite feedback channels for a broadcast channel. Instead of continually varying the por allocation for multiple beams based on instantaneous channel state information (CSI) feedback, the proposed scheme determines por allocation in advance solely based on channel statistics and the number of mobile stations (MSs). This scheme maintains por allocation throughout multiple training and data transmission periods as long as channel statistics and the number of MSs are unchanged. As a result, the proposed scheme reduces the complexity for searching por allocation, and becomes robust over finite feedback channels. Computer simulations show that the proposed por allocation search algorithms efficiently find the near optimal por allocation with low complexity. The simulations also show that, although the proposed scheme predetermines por allocation solely based on channel statistics and the number of MSs, it outperforms the opportunistic beamforming scheme using instantaneous CSI feedback with finite feedback rates.
['Hyukjoon Kwon', 'Edward W. Jang', 'John M. Cioffi']
I am writing a research paper on a idea Predetermined Power Allocation for Opportunistic Beamforming with Limited Feedback
[{"from": "human", "value": "I am writing a research paper on a idea Predetermined Power Allocation for Opportunistic Beamforming with Limited Feedback"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  proposes an enhanced opportunistic beamforming scheme with por allocation search algorithms over finite feedback channels for a broadcast channel. Instead of continually varying the por allocation for multiple beams based on instantaneous channel state information (CSI) feedback, the proposed scheme determines por allocation in advance solely based on channel statistics and the number of mobile stations (MSs). This scheme maintains por allocation throughout multiple training and data transmission periods as long as channel statistics and the number of MSs are unchanged. As a result, the proposed scheme reduces the complexity for searching por allocation, and becomes robust over finite feedback channels. Computer simulations show that the proposed por allocation search algorithms efficiently find the near optimal por allocation with low complexity. The simulations also show that, although the proposed scheme predetermines por allocation solely based on channel statistics and the number of MSs, it outperforms the opportunistic beamforming scheme using instantaneous CSI feedback with finite feedback rates."}]