Approximating the othercell interference distribution in inhomogeneous UMTS networks

Staehle, Dirk; Leibnitz, Kenji; Heck, K.; Schröder, Bernd S. W.; Weller, A.; Tran-Gia, Phuoc

doi:10.1109/vtc.2002.1002898

Cited by 29 publications

(27 citation statements)

References 7 publications

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“…Then following the same assumption in Reference [9] that I out y,x are independent of each other, the other-cell interference I other x , which comprises the sum of a series of log-normally distributed r.v.s, can also be approximated by a log-normal r.v. with both parameters as: ) and F y,x , which again can be regarded as a log-normal r.v.…”

Section: Log-normal Approximation Of the Analytical Modelmentioning

confidence: 98%

Interference and outage probability evaluation in UMTS network capacity planning

Liu

Everitt

2007

Trans Emerging Tel Tech

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SUMMARYIn this paper, we develop efficient analytic techniques for characterisation of other-cell interference in the uplink of Wideband Code Division Multiple Access (WCDMA) cellular networks. Heterogeneous service classes are supported in such systems with different data rate, bit error rate and activity factors. Additionally, the considered propagation model includes both distance loss and log-normal shadowing effects. First we suggest analytical methods to derive the whole distribution function (d.f.) of other-cell interference, followed by corresponding log-normal approximation introduced and validated to simplify the computation. An iterative method for solving fixed-point equations is employed to determine both d.f. and the mean and variance for log-normal approximation of the other-cell interference. Finally, one important application of the derived distribution of other-cell interference, the calculation of outage probability, is demonstrated.

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Section: Log-normal Approximation Of the Analytical Modelmentioning

confidence: 98%

Interference and outage probability evaluation in UMTS network capacity planning

Liu

Everitt

2007

Trans Emerging Tel Tech

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“…In WCDMA, with perfect power control (PPC) between BSs and MSs, the energy per bit to total interference density at BS i for a service g is given by [9] …”

Section: A Capacity With Perfect Power Controlmentioning

confidence: 99%

UMTS Capacity and Throughput Maximization for Different Spreading Factors

Akl¹,

Nguyen²

2006

JNW

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Abstract-An analytical model for calculating capacity in multi-cell UMTS networks is presented. Capacity is maximized for different spreading factors and for perfect and imperfect power control. We also design and implement a local call admission control (CAC) algorithm which allows for the simulation of network throughput for different spreading factors and various mobility scenarios. The design of the CAC algorithm uses global information; it incorporates the call arrival rates and the user mobilities across the network and guarantees the users' quality of service as well as pre-specified blocking probabilities. On the other hand, its implementation in each cell uses local information; it only requires the number of calls currently active in that cell. The capacity and network throughput were determined for signal-to-interference threshold from 5 dB to 10 dB and spreading factor values of 256, 64, 16, and 4.

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“…B [Hz] defines the bandwidth of the system. It is worth emphasizing that other cell interference term often modeled with a single random variable representing all the interference sources [22], which could simplify the evaluation of CAC inequality. In this paper, however, we do not exploit this idea because of its introduced inaccuracy.…”

Section: Involving Cellular Structure Into the Cacmentioning

confidence: 99%

“…Having found s * we substitute it into (23) then if inequality (22) holds N k # J ×K k # is acceptable.…”

Section: Main Steps Of Cac In Wireless Networkmentioning

confidence: 99%

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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Approximating the othercell interference distribution in inhomogeneous UMTS networks

Cited by 29 publications

References 7 publications

Interference and outage probability evaluation in UMTS network capacity planning

Interference and outage probability evaluation in UMTS network capacity planning

UMTS Capacity and Throughput Maximization for Different Spreading Factors

Dynamic Call Admission Control for Centralized CDMA Systems

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