Statistical-mechanical analysis of multiuser channel capacity with imperfect channel state information
Wang Hui-Song (汪辉松), Zeng Gui-Hua (曾贵华)
The State Key Laboratory on Fiber-Optical Local Area Networks and Advanced Optical Communication Systems, Electronic Engineering Department, Shanghai Jiaotong University, Shanghai 200030, China
Abstract In this paper, the effect of imperfect channel state information at the receiver, which is caused by noise and other interference, on the multi-access channel capacity is analysed through a statistical-mechanical approach. Replica analyses focus on analytically studying how the minimum mean square error (MMSE) channel estimation error appears in a multiuser channel capacity formula. And the relevant mathematical expressions are derived. At the same time, numerical simulation results are demonstrated to validate the Replica analyses. The simulation results show how the system parameters, such as channel estimation error, system load and signal-to-noise ratio, affect the channel capacity.
Received: 20 September 2006
Revised: 24 September 2007
Accepted manuscript online:
PACS:
84.40.Ua
(Telecommunications: signal transmission and processing; communication satellites)
Fund: Project
supported by the National Nature Science Foundation of China (Grant
Nos 60773085 and 60801051).
Cite this article:
Wang Hui-Song (汪辉松), Zeng Gui-Hua (曾贵华) Statistical-mechanical analysis of multiuser channel capacity with imperfect channel state information 2008 Chin. Phys. B 17 4451
A universal function of creep rate Li Jing-Tian (李菁田), Rong Xi-Ming (荣曦明), Wang Jian-Lu (王建录), Zhang Bang-Qiang (张邦强), Ning Xi-Jing (宁西京). Chin. Phys. B, 2015, 24(9): 093401.
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
