Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  proposes a joint uplink user scheduling and beam-forming algorithm for a multiple-antenna wireless cellular network.  show that coordinated optimization across the cells can significantly alleviate intercell interference, thereby improving the cell-edge rates in a multicell network. Unlike the downlink case, coordinating uplink transmission in a multicell network is significantly more challenging, because uplink interference depends strongly on the schedule and beamformers of neighboring cells. The main contribution of this paper is the recasting of the problem in terms of sum-of-ratio programming and a subsequent quadratic reformulation which allows scheduling and beamforming to be optimized through solving a matching problem. This problem reformulation also provides a new interpretation of the ll-known ighted minimum mean square error (WMMSE) algorithm. Simulation results show that the proposed approach significantly outperforms both the WMMSE algorithm and the existing uncoordinated scheduling approach.
['Kaiming Shen', 'Wei Yu']
I am writing a research paper on a idea Coordinated uplink scheduling and beamforming for wireless cellular networks via sum-of-ratio programming and matching
[{"from": "human", "value": "I am writing a research paper on a idea Coordinated uplink scheduling and beamforming for wireless cellular networks via sum-of-ratio programming and matching"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  proposes a joint uplink user scheduling and beam-forming algorithm for a multiple-antenna wireless cellular network.  show that coordinated optimization across the cells can significantly alleviate intercell interference, thereby improving the cell-edge rates in a multicell network. Unlike the downlink case, coordinating uplink transmission in a multicell network is significantly more challenging, because uplink interference depends strongly on the schedule and beamformers of neighboring cells. The main contribution of this paper is the recasting of the problem in terms of sum-of-ratio programming and a subsequent quadratic reformulation which allows scheduling and beamforming to be optimized through solving a matching problem. This problem reformulation also provides a new interpretation of the ll-known ighted minimum mean square error (WMMSE) algorithm. Simulation results show that the proposed approach significantly outperforms both the WMMSE algorithm and the existing uncoordinated scheduling approach."}]