期刊文献+

Approximate inter-cell interference modeling for cellular network

Approximate inter-cell interference modeling for cellular network
原文传递
导出
摘要 In this paper, we develop and analyze several inter-cell interference modeling methods for cellular network. The models can analyze multiple interfering signals under different fading scenarios. Incoherent addition of summing multiple interfering signals is assumed. We propose an approximate method that uses the generalized Gram-Charlier series to analyze the error of the reference model. The approximate method is not only simple but also with neglectable errors. The methods proposed could be very useful in practical system design and analysis. In this paper, we develop and analyze several inter-cell interference modeling methods for cellular network. The models can analyze multiple interfering signals under different fading scenarios. Incoherent addition of summing multiple interfering signals is assumed. We propose an approximate method that uses the generalized Gram-Charlier series to analyze the error of the reference model. The approximate method is not only simple but also with neglectable errors. The methods proposed could be very useful in practical system design and analysis.
出处 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2011年第3期75-79,共5页 中国邮电高校学报(英文版)
基金 supported by the Key Project (2009ZX03003-004-01) the National Natural Science Foundation of China (60811120097)
关键词 inter-cell interference modeling wireless system cellular network incoherent addition inter-cell interference modeling, wireless system, cellular network, incoherent addition
  • 相关文献

参考文献8

  • 1Di Renzo M,Graziosi F, Santucci F. Further results on the approximation of log-normal power sum via pearson type IV distribution: a general formula for log-moments computation. IEEE Transactions on Communications, 2009, 57(4): 893-898.
  • 2Di Renzo M, G-raziosi F, Santucci F. Approximating the linear combination of log-normal RVs via pearson type 1V distribution for UWB performance analysis. IEEE Transactions on Communications, 2009, 57(2): 388-403.
  • 3Prasad R, Kegel A. Improved assessment of interference limits in cellular radio performance. IEEE Transactions on Vehicular Technolology, 1991, 40(2): 412-419.
  • 4Suzuki H. A statistical model for urban radio propagation. IEEE Transactions on Communications, 1977, 25(7): 673-680.
  • 5Graziosi F, Santucci F. On SIR fade statistics in Rayleigh-lognormal channels. Proceedings of the IEEE International Conference on Communications (ICC'02): Vol 3, Apr 28-May 2, 2002, New York, NY, USA. Piscataway, NJ, USA: IEEE, 2002:1352-1357.
  • 6Renzo M, Graziosi F, Santucci F. A general formula for log-MGF computation: application to the approximation of log-normal power sum via pearson type Ⅳ distribution. Proceedings of the 67th Vehicular Technology Conference (VTC-Spring'08), May 11-14, 2008, Singapore. Piscataway, NJ USA: IEEE, 2008:999-1003.
  • 7Schleber D. Generalized gram-charlier series with application to the sum of log-normal variates. IEEE Transactions on Information Theory, 1977, 23(2): 275-280.
  • 8Schwartz S C, Yeh Y S. On the distribution function and moments of power sums with log-normal components. Bell System Technoque Journal, 1982, 61(7): 1441-1462.

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部