Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose a joint channel estimation and beamforming (BF) scheme for the wide band millimeter wave (mmWave) cellular system. Specifically, low complexity compressive sensing (CS) based estimation algorithm is used to estimate the sparse mmWave channels. Based on the estimated channel, low complexity BF scheme is proposed to adapt to the channel for data communications. The algorithm is designed by considering the practical hardware and channel constraints. Furthermore, the complexity is very low without matrix inverse and singular value decomposition (SVD) compared with traditional algorithms, which is ll suitable to practical realization. Finally,  show by simulations that the performance of proposed scheme is close to the optimal scheme with extremely less overhead.
['Huang Huang', 'Kunpeng Liu', 'Rong Wen', 'Yi Wang', 'Guangjian Wang']
I am writing a research paper on a idea Joint Channel Estimation and Beamforming for Millimeter Wave Cellular System
[{"from": "human", "value": "I am writing a research paper on a idea Joint Channel Estimation and Beamforming for Millimeter Wave Cellular System"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose a joint channel estimation and beamforming (BF) scheme for the wide band millimeter wave (mmWave) cellular system. Specifically, low complexity compressive sensing (CS) based estimation algorithm is used to estimate the sparse mmWave channels. Based on the estimated channel, low complexity BF scheme is proposed to adapt to the channel for data communications. The algorithm is designed by considering the practical hardware and channel constraints. Furthermore, the complexity is very low without matrix inverse and singular value decomposition (SVD) compared with traditional algorithms, which is ll suitable to practical realization. Finally,  show by simulations that the performance of proposed scheme is close to the optimal scheme with extremely less overhead."}]