Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A very promising way to achieve high spectral efficiency in wireless communication is the use of multiple transmit and receive antennas. Hover, in combination with multicarrier modulation, e.g. MIMO-OFDM, the performance of such a system can be drastically limited due to the existence of RF imperfections such as oscillator phase noise. Many methods for phase noise compensations in a single antenna environment have been developed, whereas only a few deal with the problem in a MIMO case. Those contributions mainly discuss the common phase error (CPE) correction. In this work  extend the CPE correction and perform a linear minimum mean square error (LMMSE) estimation of higher order phase noise harmonics in order to compensate intercarrier interference (ICI) in a multi antenna system. In a coded multi antenna environment it is common to perform detector-decoder iterations which lead to an improved performance behavior. During the iterations  use the a-priori knowledge provided by the decoder to improve the phase noise estimation. This is done by using only the most reliable symbols for performing the LMMSE estimate. As for the detection  use a simple MMSE equalizer where  use the general expression and adapt the noise covariance matrix according to the remaining ICI. Finally the performance is shown by simulation results for an IEEE 802.11n E channel.
['Steffen Bittner', 'Wolfgang Rave', 'Gerhard Fettweis']
I am writing a research paper on a idea Phase Noise Suppression in OFDM with Spatial Multiplexing
[{"from": "human", "value": "I am writing a research paper on a idea Phase Noise Suppression in OFDM with Spatial Multiplexing"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A very promising way to achieve high spectral efficiency in wireless communication is the use of multiple transmit and receive antennas. Hover, in combination with multicarrier modulation, e.g. MIMO-OFDM, the performance of such a system can be drastically limited due to the existence of RF imperfections such as oscillator phase noise. Many methods for phase noise compensations in a single antenna environment have been developed, whereas only a few deal with the problem in a MIMO case. Those contributions mainly discuss the common phase error (CPE) correction. In this work  extend the CPE correction and perform a linear minimum mean square error (LMMSE) estimation of higher order phase noise harmonics in order to compensate intercarrier interference (ICI) in a multi antenna system. In a coded multi antenna environment it is common to perform detector-decoder iterations which lead to an improved performance behavior. During the iterations  use the a-priori knowledge provided by the decoder to improve the phase noise estimation. This is done by using only the most reliable symbols for performing the LMMSE estimate. As for the detection  use a simple MMSE equalizer where  use the general expression and adapt the noise covariance matrix according to the remaining ICI. Finally the performance is shown by simulation results for an IEEE 802.11n E channel."}]