Neuron based call admission control method for transport network of 3rd generation mobile systems

Imre, Sándor; Pap, László

doi:10.1109/scvt.2000.923338

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Theorem 2 Let Q I J ≥ 0 Be Random Variables With Expected V1

Involving Cellular Structure Into the Cac1

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“…Because from s * point of view (s) and (s) are equivalent this time we use the first derivative of (s) to investigate s * (t). Combining (13) and (14) we get…”

Section: Theorem 2 Let Q I J ≥ 0 Be Random Variables With Expected Vmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic Call Admission Control for Centralized CDMA Systems

Imre

2005

Telecommun Syst

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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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“…Because from s * point of view (s) and (s) are equivalent this time we use the first derivative of (s) to investigate s * (t). Combining (13) and (14) we get…”

Section: Theorem 2 Let Q I J ≥ 0 Be Random Variables With Expected Vmentioning

confidence: 99%

“…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%