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• W2770415708 abstract "In this paper we study a particular Painleve V (denoted ${rm P_{V}}$) that arises from Multi-Input-Multi-Output (MIMO) wireless communication systems. Such a $P_V$ appears through its intimate relation with the Hankel determinant that describes the moment generating function (MGF) of the Shannon capacity. This originates through the multiplication of the Laguerre weight or the Gamma density $x^{alpha} {rm e}^{-x},;x> 0,$ for $alpha>-1$ by $(1+x/t)^{lambda}$ with $t>0$ a scaling parameter. Here the $lambda$ parameter generates the Shannon capacity, see Yang Chen and Matthew McKay, IEEE Trans. IT, 58 (2012) 4594--4634. It was found that the MGF has an integral representation as a functional of $y(t)$ and $y'(t)$, where $y(t)$ satisfies the classical form of $P_V$. In this paper, we consider the situation where $n,$ the number of transmit antennas, (or the size of the random matrix), tends to infinity, and the signal-to-noise ratio (SNR) $P$ tends to infinity, such that $s={4n^{2}}/{P}$ is finite. Under such double scaling the MGF, effectively an infinite determinant, has an integral representation in terms of a lesser $P_{III}$. We also consider the situations where $alpha=k+1/2,;;kin mathbb{N},$ and $alphain{0,1,2,dots}$ $lambdain{1,2,dots},$ linking the relevant quantity to a solution of the two dimensional sine-Gordon equation in radial coordinates and a certain discrete Painleve-II. From the large $n$ asymptotic of the orthogonal polynomials, that appears naturally, we obtain the double scaled MGF for small and large $s$, together with the constant term in the large $s$ expansion. With the aid of these, we derive a number of cumulants and find that the capacity distribution function is non-Gaussian." @default.
• W2770415708 created "2017-12-04" @default.
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• W2770415708 date "2017-11-26" @default.
• W2770415708 modified "2023-10-16" @default.
• W2770415708 title "Single-use MIMO system, Painlev'e transcendents and double scaling" @default.
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