Channel estimation for PLNC under time-selective fading scenario

In this chapter, we design channel estimation and training sequence for PLNC in a time-selective fading environment. We first propose a new complex-exponential basis expansion model (CE-BEM) to represent the mobile-to-mobile time-varying channels. To estimate such channels, a novel pilot symbol-aided transmission scheme is developed such that a low complex linear approach can be applied to estimate the BEM coefficients of the convoluted channels. More essentially, we design two algorithms to extract the BEM coefficients of the individual channels. The optimal training parameters, including the number of the pilot symbols, the placement of the pilot symbols, and the power allocation to the pilot symbols, are derived by minimizing the channel mean-square error (MSE). Finally, extensive numerical results are provided to corroborate the proposed studies.