Author_Institution :
Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
Abstract :
Unlike the additive white Gaussian noise (AWGN) channel, fading channels suffer from random channel gains, in addition to the additive Gaussian noise. As a result, the instantaneous channel capacity varies randomly along time, which makes it insufficient to characterize the transmission capability of a fading channel using data rate only. In this paper, the transmission capability of a buffer-aided Rayleigh block-fading channel is examined by a constant-rate input data stream and is reflected by several parameters, such as the average queue length, stationary queue length distribution, packet delay, and overflow probability. Both infinite-buffer and finite-buffer models are considered. Taking advantage of the memoryless property of the service provided by the channel in each block in the low-SNR regime, the information transmission over the channel is formulated as a discrete-time discrete-state D/G/1 queueing problem. The obtained results show that block-fading channels are unable to support a data rate close to their ergodic capacity, no matter how long the buffer is, even when seen from the application layer. For the finite-buffer model, the overflow probability is derived with explicit expression and is shown to decrease exponentially when buffer size is increased, even when the buffer size is very small.
Keywords :
AWGN channels; Gaussian noise; Rayleigh channels; channel capacity; probability; queueing theory; AWGN channel; D/G/1 queueing problem; additive Gaussian noise; additive white Gaussian noise channel; block-fading rayleigh channels; infinite buffer model; information transmission; instantaneous channel capacity; overflow probability; packet delay; queueing characterization; stationary queue length distribution; transmission capability; Delays; Markov processes; Rayleigh channels; Signal to noise ratio; Transmitters; Wireless communication; Buffer-aided communications; Rayleigh block-fading channel; channel service; overflow probability; packet delay; queue length distribution; queueing analysis;