In this paper, we consider information transmission over a block Rayleigh fading channel, where a finite size buffer is employed to match the source traffic with the channel service capability. Given the buffer size, ...
详细信息
In this paper, we consider information transmission over a block Rayleigh fading channel, where a finite size buffer is employed to match the source traffic with the channel service capability. Given the buffer size, the transmission capability of a block fading Rayleigh channel is characterized from two aspects: (i) the buffer behavior when the input traffic rate is constant;and (ii) the traffic rate that can be supported by the channel for a given overflow probability constraint. For the first problem, the stationary distribution of the queue length in the buffer is derived by discretizing the queue length using a uniform quantization strategy. It is also shown that the overflow probability of the finite size buffer decreases exponentially with buffer size. An explicit upper bound on the overflow probability is also given. For the second one, a new concept of epsilon-overflow rate is proposed to measure the transmission capability of a block fading channel under overflow probability constraints. It will be shown that the epsilon-overflow rate is larger than the epsilon-outage capacity under the same outage constraint and will meet the great gap between outage capacity and ergodic capacity as the overflow probability constraint varies. Copyright (C) 2012 John Wiley & Sons, Ltd.
Analysis of effective information transmission rate over fading channels has attracted much attentions in the last few years. Ergodic capacity and out age capacity, as two conventional indices, have been widely invest...
详细信息
ISBN:
(纸本)9781457713798
Analysis of effective information transmission rate over fading channels has attracted much attentions in the last few years. Ergodic capacity and out age capacity, as two conventional indices, have been widely investigated in various scenarios. However, there exists a gap between them for any fixed average signal to noise ratio. Thus, one problem is raised naturally: How to fill this gap? To answer it, we shall propose a new concept, epsilon-overflow rate, which is used to characterize the transmission capability of a fading channel when a finite size buffer is employed at the transmitter. With this buffer, the constant rate source data stream is matched with the time varying channel status so that the fading channel can support a higher rate source data stream. It will be proved that the epsilon-overflow rate is larger than the epsilon-outage capacity under the same outage constraint and can converge to the ergodic capacity in all signal to noise ratio region.
暂无评论