Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  study energy-efficient por allocation in distributed antenna systems (DASs). Unlike previous works that assumed perfect channel-state information (CSI) at the transmitter,  investigate a more practical case, where only the slowly varying large-scale CSI is known, to reduce the system overhead for CSI acquisition. Under a generalized DAS model, the por allocation problem for energy-efficiency (EE) maximization is formulated as a nonconvex fractional programming problem. Using the random matrix theory, the nonlinear fractional programming theory, and the saddle-point theory,  propose an iterative algorithm that achieves the global optimal solution.  also show that deploying the antennas in a distributed manner may enlarge the region where the optimal EE and the optimal spectral efficiency (SE) can be simultaneously achieved. Accordingly,  suggest the DAS-like way to densify the future 5G and beyond cellular networks to achieve EE and SE simultaneously.
['Wei Feng', 'Yunfei Chen', 'Ning Ge', 'Jianhua Lu']
I am writing a research paper on a idea Optimal Energy-Efficient Power Allocation for Distributed Antenna Systems With Imperfect CSI
[{"from": "human", "value": "I am writing a research paper on a idea Optimal Energy-Efficient Power Allocation for Distributed Antenna Systems With Imperfect CSI"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  study energy-efficient por allocation in distributed antenna systems (DASs). Unlike previous works that assumed perfect channel-state information (CSI) at the transmitter,  investigate a more practical case, where only the slowly varying large-scale CSI is known, to reduce the system overhead for CSI acquisition. Under a generalized DAS model, the por allocation problem for energy-efficiency (EE) maximization is formulated as a nonconvex fractional programming problem. Using the random matrix theory, the nonlinear fractional programming theory, and the saddle-point theory,  propose an iterative algorithm that achieves the global optimal solution.  also show that deploying the antennas in a distributed manner may enlarge the region where the optimal EE and the optimal spectral efficiency (SE) can be simultaneously achieved. Accordingly,  suggest the DAS-like way to densify the future 5G and beyond cellular networks to achieve EE and SE simultaneously."}]