A Queueing Characterization of Information Transmission Over Block-Fading Rayleigh Channels in the Low-SNR Regime

被引:4
|
作者
Dong, Yunquan [1 ]
Fan, Pingyi [1 ,2 ,3 ,4 ,5 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
[2] Hong Kong Univ Sci & Technol, Kowloon, Hong Kong, Peoples R China
[3] Univ Delaware, Newark, DE USA
[4] Natl Inst Informat & Commun Technol, Tokyo, Japan
[5] Chinese Univ Hong Kong, Inst Network Coding, Shatin, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Buffer-aided communications; channel service; overflow probability; packet delay; queue length distribution; queueing analysis; Rayleigh block-fading channel; CAPACITY; COMMUNICATION; PROBABILITY; CODES; MODEL;
D O I
10.1109/TVT.2014.2307585
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:3726 / 3740
页数:15
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