Uplink Blocking Probability Calculation for Cellular Systems with WCDMA Radio Interface, Finite Source Population and Differently Loaded Neighbouring Cells

Głąbowski, Mariusz; Stasiak, Maciej; Wiśniewski, Arkadiusz; Zwierzykowski, Piotr

doi:10.1109/apcc.2005.1554035

Cited by 23 publications

(16 citation statements)

References 9 publications

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“…The use of Equations (11) or (14) or (18) for the calculation of the link occupancy distribution, GðjÞ; is not straightforward. In order for these equations to be applicable straightforwardly, in Copyright Table I shows the state space (16 states) for this example: the in-service sources for each service-class (columns 1-3), the respective link occupancy (column 4) and the blocking states (columns 5-7).…”

Section: Enmlm Under the Br Policy: State Space Determination}link Ocmentioning

confidence: 99%

Engset multi-rate state-dependent loss models with QoS guarantee

Moscholios

Logothetis

2006

Int. J. Commun. Syst.

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SUMMARYWe consider a single link loss system of quasi-random input, described by the Engset multirate loss model (EnMLM). Blocked calls may once reattempt to be connected to the system requiring less bandwidth; then the system is described by the single retry model for finite sources (f-SRM). The EnMLM and the f-SRM are extended with the single threshold finite source model (f-STM), where calls may attempt to be connected to the system with less bandwidth requirements, according to the link occupancy, before blocking occurs. We focus on CBP equalization in the EnMLM, f-SRM and f-STM, under the bandwidth reservation (BR) policy. For this analysis, we apply two approximate methods, the Roberts' method and the method of reverse transition rates (RTR), which lead to a recursive CBP calculation. We evaluate the accuracy of the above models under the BR policy by comparing the analytical with simulation CBP results, based on the relative approximation errors (RAE). The results are highly satisfactory because they show that the proposed models (formulas) lead to small RAE.

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Section: Enmlm Under the Br Policy: State Space Determination}link Ocmentioning

confidence: 99%

Engset multi-rate state-dependent loss models with QoS guarantee

Moscholios

Logothetis

2006

Int. J. Commun. Syst.

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“…A single cell of the cellular system can be treated as a full-availability group (FAG) with fixed or variable capacity depending on the possible influence of the surroundings on the radio interface load [2], [3]. In a hard capacity system the maximum number of subscribers serviced by one cell is unequivocally determined and depends solely on the number of used frequency channels.…”

Section: A Hard and Soft Capacity Of A Cellular Systemmentioning

confidence: 99%

Calculation of Available Bandwidth for UMTS-HSDPA/HSUPA Users

Głąbowski

Hanczewski

Stasiak

2007

EUROCON 2007 - The International Conference on "Computer as a Tool"

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The article discusses an analytical method of determining average bandwidth offered to a user in UMTS applying HSDPA (High Speed Downlink Packet Access) and HSUPA (High Speed Uplink Packet Access) technologies. The application of HSDPA/HSUPA increases the transmission speed between the base station and the end-user's terminal in UMTS networks. This has, in turn, made it possible for cellular systems operators to offer new services that require greater data flow both in the uplink direction and downlink direction such as, e.g., broadband Internet access.

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“…is dependent on the specific technological implementation of the radio interface [20]. However, no matter which multiple access technology (FDMA, TDMA, CDMA, or OFDMA) is used, we could interpret system capacity in terms of effective or equivalent bandwidth [21][22][23]. Therefore, whenever we refer to the bandwidth of a call, we mean the number of bbu that is adequate for guaranteeing the desired QoS for this call, which is similar to the approach used for homogeneous networks in [23][24][25].…”

Section: Heterogeneous Network Model and Assumptionsmentioning

confidence: 99%

Effect of mobile terminal heterogeneity on call blocking/dropping probability in cooperative heterogeneous cellular networks

Falowo

Chan

2010

Telecommun Syst

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It is envisaged that next generation wireless networks (NGWN) will be heterogeneous, consisting of multiple radio access technologies (RATs) coexisting in the same geographical area. In these heterogeneous wireless networks, mobile terminals of different capabilities (heterogeneous terminals) will be used by subscribers to access network services. We investigate the effect of using heterogeneous mobile terminals (e.g. single-mode, dual-mode, triple-mode, etc.) on call blocking and call dropping probabilities in cooperative heterogeneous wireless networks. We develop analytical models for heterogeneous mobile terminals and joint radio resource management in heterogeneous wireless networks. Using a two-class three-RAT heterogeneous wireless network as an example, the effect of using heterogeneous terminals in the network is evaluated. Results show the overall call blocking/dropping probability experienced by subscribers in heterogeneous wireless networks depends on the capabilities of mobile terminals used by the subscribers. In the worst case scenario, when all subscribers use single-mode mobile terminals, each subscriber is confined to a single RAT and consequently, joint radio resource management in heterogeneous wireless network has no improvement on new call blocking and handoff call dropping probabilities. However, in the best case scenario, when all subscribers use three-mode terminals, new class-1 call blocking probability decreases from 0.37 (for 100% singlemode terminals) to 0.05, at the arrival rate of 6 calls per minute. New class-2 call blocking probability also decreases from 0.8 to 0.52. Similarly, handoff class-1 call dropping probability decreases from 0.14 to 0.003, and handoff class-2 call dropping probability decreases from 0.44 to 0.09.

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Uplink Blocking Probability Calculation for Cellular Systems with WCDMA Radio Interface, Finite Source Population and Differently Loaded Neighbouring Cells

Cited by 23 publications

References 9 publications

Engset multi-rate state-dependent loss models with QoS guarantee

Engset multi-rate state-dependent loss models with QoS guarantee

Calculation of Available Bandwidth for UMTS-HSDPA/HSUPA Users

Effect of mobile terminal heterogeneity on call blocking/dropping probability in cooperative heterogeneous cellular networks

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