Optimum designs of high mobility wireless systems with channel estimation errors. Issue 13 (1st September 2015)

• Record Type: Journal Article
• Authors: Sun, Ning; Wu, Jingxian; Fan, Pingzhi
• Is Part Of: IET communications. Volume 9:Issue 13(2015)
• Page Start: 1677
• Page End: 1682
• Publication Date: 2015-09-01
• Subjects: channel estimation -- time‐varying channels -- mobility management (mobile radio) -- spectral analysis -- least mean squares methods -- channel allocation -- optimisation -- fading channels; high mobility wireless communication system -- optimum system design -- channel estimation mean squared error -- imperfect channel state information -- spectral efficiency lower bound -- asymptotic analysis -- explicit function -- energy allocation factor optimisation -- spectral efficiency maximisation -- time‐varying fading -- Nyquist rate; Telecommunication systems -- Periodicals; Speech processing systems -- Periodicals; 621.38205
• DOI: 10.1049/iet-com.2014.0952
• Languages: English
• ISSNs: 1751-8628

Abstract

Abstract : This research studies the optimum system designs of high mobility wireless communication systems with imperfect channel state information. In high mobility systems, the channel estimation error is usually inevitable and might have significant impacts on system performance. The impacts of channel estimation errors on system performance are quantified through the development of a spectral efficiency lower bound. With the help of the asymptotic analysis of the channel estimation mean squared error, the spectral efficiency lower bound is expressed as explicit functions of a number of system parameters, such as the maximum Doppler frequency, the percentage of pilots in the transmitted symbols, and the ratio of energy allocated between data symbols and pilot symbols. The optimum pilot percentage and energy allocation factor that jointly maximise the spectral efficiency lower bound are identified through analytical studies. It is discovered that, in term of maximising spectral efficiency, the optimum performance can be achieved by optimising the energy allocation factor when the pilots sample the fast time‐varying fading at its Nyquist rate.