标题： 高斯-马尔可夫瑞利衰落信道的训练优化 显示英文标题

标题： Training Optimization for Gauss-Markov Rayleigh Fading Channels

摘要： 本文研究了在高斯-马尔可夫瑞利衰落信道中使用导频辅助传输的问题。 考虑了一种简单场景：每隔T个符号发送一个导频信号，并在两个导频信号之间发送T-1个数据符号。首先，假设发射端采用二进制移相键控（BPSK）调制方式。在此假设下，通过最大化可达到的速率表达式，联合优化训练周期以及数据和训练功率分配。利用最优的训练参数，计算了可达到的速率和每比特能量需求。其次，通过将估计误差视为另一种加性高斯噪声源，得到了容量的下界，并通过最大化此下界来优化训练参数。 显示英文摘要

摘要： In this paper, pilot-assisted transmission over Gauss-Markov Rayleigh fading channels is considered. A simple scenario, where a single pilot signal is transmitted every T symbols and T-1 data symbols are transmitted in between the pilots, is studied. First, it is assumed that binary phase-shift keying (BPSK) modulation is employed at the transmitter. With this assumption, the training period, and data and training power allocation are jointly optimized by maximizing an achievable rate expression. Achievable rates and energy-per-bit requirements are computed using the optimal training parameters. Secondly, a capacity lower bound is obtained by considering the error in the estimate as another source of additive Gaussian noise, and the training parameters are optimized by maximizing this lower bound.