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- Ying-Chang Liang, Guangming Pan, Yonghong Zeng
- 2010 IEEE Global Telecommunications Conferenceâ€¦
- 2010

In recent years, some spectrum sensing algorithms using multiple antennas, such as the eigenvalue based detection (EBD), have attracted a lot of attention. In this paper, we are interested inâ€¦ (More)

- Ying-Chang Liang, Guangming Pan, Z. D. Bai
- IEEE Transactions on Information Theory
- 2007

Random matrix theory is used to derive the limit and asymptotic distribution of signal-to-interference-plus-noise ratio (SIR) for a class of suboptimal minimum mean-square-error (MMSE) receiversâ€¦ (More)

- Guangming Pan
- 2012

Let {X ij }, i, j = Â· Â· Â· , be a double array of independent and identically distributed (i.i.d.) real random variables with EX 11 = Âµ, E|X 11 âˆ’ Âµ| 2 = 1 and E|X 11 | 4 < âˆž. Consider sampleâ€¦ (More)

- Chao-Kai Wen, Guangming Pan, Kai-Kit Wong, Meihui Guo, Jung-Chieh Chen
- IEEE Transactions on Information Theory
- 2013

Using large-dimensional random matrix theory (RMT), we conduct mutual information analysis of a multiple-input multiple-output (MIMO) multiple access channel (MAC). Our channel model reflects theâ€¦ (More)

- Ying-Chang Liang, Eng Yeow Cheu, Li Bai, Guangming Pan
- IEEE Transactions on Signal Processing
- 2008

A minimum mean-square error (MMSE)-based iterative soft interference cancellation (MMSE-SIC) receiver has been proposed to mitigate the interferences of the multiple-input multiple-output (MIMO)â€¦ (More)

- Guangming Pan, Wang Zhou
- J. Multivariate Analysis
- 2010

Consider the empirical spectral distribution of complex random nÃ—n matrix whose entries are independent and identically distributed random variables with mean zero and variance 1/n. In this paper,â€¦ (More)

- Guangming Pan
- J. Multivariate Analysis
- 2010

This paper proposes a new statistic to test independence between two high dimensional random vectors x : p1Ã— 1 and y : p2Ã— 1. The proposed statistic is based on the sum of regularized sampleâ€¦ (More)

Suppose that {Xjk, j = 1, Â· Â· Â· , p1; k = 1, Â· Â· Â· , n} are independent and identically distributed (i.i.d) real random variables with EX11 = 0 and EX 2 11 = 1, and that {Yjk, j = 1, Â· Â· Â· , p2; k =â€¦ (More)

- Guangming Pan, Jiti Gao
- 2010

where X = (Xij)pÃ—n consists of independent and identically distributed real random variables and T is a symmetric nonnegative definite nonrandom matrix. When p â†’ âˆž and n â†’ âˆž with p n â†’ 0, it is shownâ€¦ (More)