| D. Djonin and V. K. Bhargava, "Asymptotic analysis of the conventional decision feedback receiver in fading channels," to be published in Trans. on Wireless Comm., Nov. 2003. |
....of users (K oo) with constant ratio of number of users per processing gain c = due to the weak law of large numbers this problem can be readily solved. The similar asymptotic approach was used previously for the analysis of the conventional decision feedback with receiver power ordering in [64]. By employing the asymptotic analysis we will be able to evaluate the spectral efficiency loss incurred by using unit energy sequences in the fiat fading channel. We start with the observation that with the increase in the number of samples (in this case users) the fading distribution fit] x) ....
....weakest, and the successive interference cancellation is performed in that order. Assuming knowledge of the fading distribution it will be shown that this case can be regarded as a deterministic case, since we can know with high probability the power of the user that is currently being detected [64]. In the derivation of the following Proposition we will make use of the Definition 7. Proposition 5 Let the limiting empirical cumulative distribution function of the fiat fading channels gains be F(g) with pdf f(g) Then the average single user capacity of the CDFR receiver with power ordering ....
V. K. Bhargava D. Djonin, "Asymptotic analysis of the conventional decision feedback receiver in fading channels," in Proc. ICC Conf., pp. 1368 1372, Nov. 2002.
No context found.
D. Djonin and V. K. Bhargava, "Asymptotic analysis of the conventional decision feedback receiver in fading channels," to be published in Trans. on Wireless Comm., Nov. 2003.
No context found.
D. Djonin and V. K. Bhargava, "Asymptotic analysis of the conventional decision feedback receiver in fading channels," in Proc. ICC Conf., pp. 1368 -- 1372, Nov. 2002.
....total received power, the previous relation implies that the increase in the number of equitably power distributed diversity branches decreases the average signal to noise ratio of the selection combiner. In fact, it can be demonstrated using the asymptotic order statistics approach (see [22] [23] and [24] that the average signal to noise ratio converges in probability to 0 as the number of equal power distributed branches increases to infinity This fact is a consequence of the decrease in the average power per branch which is dominating the effect of the selection of the branch with ....
D. Djonin and V. K. Bhargava, "Asymptotic analysis of the conventional decision feedback receiver in fading channels," to be published in Trans. on Wireless Comm., Nov. 2003.
....average total received power, the previous relation implies that the increase in the number of equitably power distributed diversity branches decreases the average signal to noise ratio of the selection combiner. In fact, it can be demonstrated using the asymptotic order statistics approach (see [22], 23] and [24] that the average signal to noise ratio converges in probability to 0 as the number of equal power distributed branches increases to infinity This fact is a consequence of the decrease in the average power per branch which is dominating the effect of the selection of the branch ....
D. Djonin and V. K. Bhargava, "Asymptotic analysis of the conventional decision feedback receiver in fading channels," in Proc. ICC Conf., pp. 1368 -- 1372, Nov. 2002.
....However, in the asymptotic case or the large number o users (K ) with constant ratio o number o users per processing gain = the problem can be readily solved. The similar asymptotic approach was used previously or the analysis o the conven tional decision eedback with receiver power ordering in [12]. By employing the asymptotic analysis we will be able to evaluate the spectral efficiency loss incurred by using unit energy sequences in the fiat fading channel. We start with the observation that with the increase in the number of samples (in this case users) fading distribution fit] x) ....
D.Djonin, V.K.Bhargava, "Asymptotic Analysis of the Conventional Decision Feedback Receiver in Flat Fading Channels", Proceedings of the ICC 2002.
....weakest, and the successive interference cancellation is performed in that order. Assuming knowledge of the fading distribution it will be shown that this case can be regarded as a deterministic case, since we can know with high probability the power of the user that is currently being detected [26]. In the derivation of the following proposition which gives the average single user capacity of the CDFR detector with power ordering, we will make use of the following definitions: Definition 1: Let the population quantile of order ,# # , corresponding to the random variable of strictly ....
D.Djonin, V.K.Bhargava, "Asymptotic Analysis of the Conventional Decision Feedback Receiver in Fading Channels", pp. 1368-1372 , in Proc. ICC Conf., New York, NY, Nov. 2002.
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