“…Applying this method, in our earlier works we have developed efficient conservative bounds on P sat , WLR, and based on them computationally equivalent formulae have been derived for bounding C equ,sat and C equ,WLR [12,19]. 3 Later, it has also been shown, that an improved approximation technique [17] on buffer overflow probability known in buffered statistical multiplexer can also be applied to approximate P sat under bffm.…”
“…(3). Applying the Chernoff bounding technique for the saturation probability and workload loss ratio, the following conservative bounds can be obtained for the corresponding bandwidth requirement [12,19]:…”
“…Applying this method, in our earlier works we have developed efficient conservative bounds on P sat , WLR, and based on them computationally equivalent formulae have been derived for bounding C equ,sat and C equ,WLR [12,19]. 3 Later, it has also been shown, that an improved approximation technique [17] on buffer overflow probability known in buffered statistical multiplexer can also be applied to approximate P sat under bffm.…”
“…(3). Applying the Chernoff bounding technique for the saturation probability and workload loss ratio, the following conservative bounds can be obtained for the corresponding bandwidth requirement [12,19]:…”
“…In case of two ring model K = 1 + 6 + 12 = 19. Cell 2-7 belong to the first neighboring ring while the second ring consists of cell [8][9][10][11][12][13][14][15][16][17][18][19]. Therefore, cell 2-19 form the interference region for a mobile located in cell 1.…”
Section: Involving Cellular Structure Into the Cacmentioning
confidence: 99%
“…One of the most promising classes of algorithms among them is based on Effective Bandwidth concept which was originally introduced for wired networking CAC, [1,2,11,14,15,17]. The aim of this paper is to introduce a promising solution for dynamic CAC.…”
Section: Abstract Formulation Of Cac Problemmentioning
confidence: 99%
“…The aim of this paper is to introduce a promising solution for dynamic CAC. Inequality (11) represents the well-known tail distribution estimation problem. Because the calculation of convolution is rather time consuming task so the theoretical amount of required capacity is approximated by deterministic values.…”
Section: Abstract Formulation Of Cac Problemmentioning
Spectral efficiency of WCDMA based spread spectrum 3G/4G air interface technology is highly influenced by the common channel interference, hence the applied Call Admission Control method has great importance because it determines the number of active users admitted to the network. In this paper we present a dynamic air interface CAC algorithm which provides efficient usage of radio resources and allows real-time adaptation to the always changing network parameters. Required CAC parameters are derived for generalized multiplicative fading and generalized memory-less traffic sources. In order to validate its capabilities our proposed CAC method was investigated with ON/OFF traffic sources and lognormal fading channels.
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