The channel impulse response (CIR) of each link is drawn randomly from an eight-tap delay line model, where each tap i has a circular complex gaussian distribution with zero mean and variance σ i 2. We further assume σ i 2 σ i + 1 2 = e 3, meaning that the tap power decreases exponentially with a coefficient of 3.
The channel impulse response (CIR) of each link is drawn randomly from an 8-tap delay line model, where each tap has a circular complex Gaussian distribution with zero mean and variance as σ i 2. We further assume σ i 2 σ i + 1 2 = e 3, meaning that the tap power decreases exponentially with a coefficient 3.
I further assume that the time of transmission corresponds to the potential time at which two lineages coalesce.
Further assume (i) (delta Ksubseteq fK); (ii) ((bigcup_{xin K}Tx cap Ksubseteq fK); (iii) (fxindelta K Rightarrow Txsubseteq K); (iv) fK is closed in X. Then T and f have a coincidence point in X.
Further assume that f i, i = 1, 2, …, p are strongly pseudoinvex type I of order m and g j, j = 1, 2, …, q are strongly invex of order m with respect to the same η and ψ, then x 0 is a strict minimizer of order m in the original vector optimization problem (MOP).
Further, assume Φ i ( x, y ; f s ) ( i = 1, 2 ) is strictly positive for f s ∈ Ω.
Further, assume Φ i ( x, y ; p, g, f s ) ( i = 1, 2 ) is strictly positive for f s ∈ Ω.
According to Amemiya and MaCurdy [2], we further assume that λ i (μ i ) are uncorrelated with the right-hand-side variables in Eq. (1) [Eq. (2)], imposing a stricter requirement on the instruments than the original HT-estimator.
Assume that there exists such that and that (i) for all ; Further, assume that there are such that (ii) ; (iii).
We assume a Markovian state transition structure, that is p t ( s t + 1 = s ′ | s t, a t ) = p t ( s t + 1 = s ′ | s t, a t, s t − 1, a t − 1, …, s 0, a 0 ), and further assume stationarity, i.e., p t (s t+1 = s ′|s t,a t ) = p(s ′ |s,a).
