On call admission and performance evaluation for multiservice CDMA networks

Bo, Xiaoming; Chen, Zujue

doi:10.1145/980159.980171

Cited by 9 publications

(10 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Following the common assumption which is made in homogeneous cellular networks, we assume that the types and amount of traffic are statistically the same in all cells of each RAT [28,29]. Therefore, the types and amount of traffic are statistically the same in all groups of co-located cells.…”

Section: Fig 3 a Typical Two-rat Heterogeneous Cellular Network Withmentioning

confidence: 99%

“…Following the general assumption in cellular networks, new and handoff class-i calls arrive in the group of co-located cells according to Poisson process with rate λ n i and λ h i respectively. The call holding time (CHT) of a class-i call is assumed to follow an exponential distribution with mean 1/μ ci [28,29].…”

Section: Fig 3 a Typical Two-rat Heterogeneous Cellular Network Withmentioning

confidence: 99%

“…Because minimum of two exponentially distributed random variables is also exponentially distributed [29], the channel holding time for class-i calls, is exponen-…”

Section: Fig 3 a Typical Two-rat Heterogeneous Cellular Network Withmentioning

confidence: 99%

See 2 more Smart Citations

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

Falowo

Chan

2010

Telecommun Syst

View full text Add to dashboard Cite

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.

show abstract

Section: Fig 3 a Typical Two-rat Heterogeneous Cellular Network Withmentioning

confidence: 99%

Section: Fig 3 a Typical Two-rat Heterogeneous Cellular Network Withmentioning

confidence: 99%

See 1 more Smart Citation

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

Falowo

Chan

2010

Telecommun Syst

View full text Add to dashboard Cite

show abstract

“…The call holding time (CHT) of a class-i call is assumed to follow an exponential distribution with mean 1/ ci [31,32].…”

Section: System Model and Assumptionsmentioning

confidence: 99%

Dynamic pricing for load‐balancing in user‐centric joint call admission control of next‐generation wireless networks

Falowo

Zeadally

Chan

2009

Int J Communication

View full text Add to dashboard Cite

SUMMARYNext-generation wireless networks (NGWN) will be heterogeneous, comprising of a number of radio access technologies (RATs) co-existing in the same geographical area. In NGWN, joint call admission control (JCAC) algorithms are required to select the most appropriate RAT for each incoming call. It is envisaged that these JCAC algorithms will be user-centric (i.e. will consider users' preferences in making RAT selection decisions) in order to enhance user satisfaction. However, user-centric JCAC algorithms can lead to highly unbalanced traffic load among the available RATs in NGWN because users act independently, and most of them may prefer to be connected through a particular RAT. Highly unbalanced traffic load in NGWN will result in high overall call blocking/dropping probability and poor radio result utilization. To address this problem, we propose dynamic pricing for balancing traffic load among available RATs in heterogeneous wireless networks where users' preferences are considered in making RAT selection decisions. By dynamically adjusting the service price in each of the available RATs, the proposed user-centric JCAC scheme evens out the unbalanced traffic load caused by independent users' preferences. The JCAC scheme uses fuzzy multiple attribute decision-making (MADM) technique to select the most appropriate RAT for each incoming call. We develop a Markov model to evaluate the overall call blocking/dropping probability and percentage load in each RAT in heterogeneous wireless networks. Performance of the proposed JCAC scheme is compared with that of a scheme that does not use dynamic pricing. Simulation results are given to show the effectiveness of the proposed JCAC scheme.

show abstract

“…Along with the multi-service requirement, the admission control policy must take service features into account. Fractional Guard Channel concept has been extended to differentiate the QoS of multi-services in CDMA cellular [3,4,6,7]. The concept of limited access probability has been used in call admission control algorithm in CDMA network such as [1，2].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Limited Access Probability Admission Control for Multi-Service in CDMA Cellular Network

Zhang

Guang-xi

Shen

2007

2007 International Conference on Wireless Communications, Networking and Mobile Computing

View full text Add to dashboard Cite

In wireless cellular network, call admission control is to ensure satisfactory services for mobile users and maximize the utilization of system resource. We present an adaptive access probability-based admission control scheme that can be used for traffic prioritization in multi-services systems. It shows the framework that online management of both quality of service and provider revenue can be performed in CDMA system by adaptive control of system. The Markov model is established on a novel capacity model which considers the imperfect power control to guarantee the outage probability constraints. From the result of the Markov model, the limited access probability is periodically adjusted according to the currently system condition. Quality of Services (QoS) and revenue can guarantee a prior setting goal. 1 To illustrate the effectiveness of strategy, we present quantitative results for the Markov model and simulation study.

show abstract

On call admission and performance evaluation for multiservice CDMA networks

Cited by 9 publications

References 8 publications

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

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

Dynamic pricing for load‐balancing in user‐centric joint call admission control of next‐generation wireless networks

Adaptive Limited Access Probability Admission Control for Multi-Service in CDMA Cellular Network

Contact Info

Product

Resources

About