Cooperative power delay profile estimation for vehicle-to-infrastructure communications

Abstract

Power adaptation is crucial to maximize the system capacity for orthogonal frequency multiple access (OFDM) systems, where power delay profile (PDP) should provide instantaneous signal power distribution. This paper proposes a cooperative PDP estimation method to mitigate the impact of imperfect CSI in vehicle-to-infrastructure (V2I) communication systems. To obtain accurate PDP, the movement characteristics of the vehicle including the location and velocity are well exploited, and PDP can be fitted from multiple vehicle observations. This paper mainly considers the impacts of different CSIs on path losses in the high-mobility scenario. Hence, we investigate a single/multiple user PDP estimation technique based on linear interpolation algorithm. Furthermore, we validate the proposed approach using traditional LMMSE channel estimation algorithm, and evaluate its performance in terms of channel estimation mean-square error (MSE) and bit error rate (BER). It is shown that the proposed algorithm can achieve results with low computational complexity and support reliable data transmission.