Interworking of Wireless LANs and Cellular Networks by Wei Song

By Wei Song

The next-generation of instant communications are expected to be supported via heterogeneous networks through the use of numerous instant entry applied sciences. the preferred mobile networks and instant neighborhood quarter networks (WLANs) current completely complementary features when it comes to provider ability, mobility help, and quality-of-service (QoS) provisioning. The cellular/WLAN interworking is an efficient method to advertise the evolution of instant networks. Interworking of instant LANs and mobile Networksu00a0focuses on 3 features, particularly entry choice, name admission keep an eye on and cargo sharing to enquire heterogeneous interworking for cellular/WLAN built-in networks.u00a0It not just unearths very important observations but in addition deals precious instruments for functionality evaluate. the original site visitors and community features are exploited to augment interworking effectiveness. Theoretical research and simulation validation reveal advantages of cellular/WLAN interworking in genuine networks. final yet no longer the least, this short highlights promising destiny examine instructions to steer readers.

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As a result, the bottleneck effect of the cell becomes evident. Thus, as shown in Fig. 5, the acceptable λd decreases with a smaller θdw . In conclusion, the effectiveness of the WLAN as a complement to the cell may be greatly jeopardized with a small θdw and a very large θvw . To maximize the utilization, θvw should be large enough to balance voice traffic load from the cell and also small enough to avoid an inefficient utilization of the WLAN for voice support. 0 Mobility variability parameter a = 1 Mobility variability parameter a = 4 Mobility variability parameter a = 8 0 4 8 12 16 20 24 28 w Maximum number of voice calls allowed in WLAN ( N v ) Fig.

Ndc . 21) i=0 The data call blocking and dropping probabilities and mean data transfer time can be obtained from πdc as in Chap. 2. From the Little’s law, the mean data transfer time in the cell can be obtained as Ndc l π˜ c (l|i) πvc (i) c l=1 d c c . 3 Numerical Results and Discussion In this section, we first validate the accuracy of the QoS evaluation approaches based on Markov processes and MGFs. Further, we investigate the impact of traffic and mobility variability on the determination of admission parameters and resulting resource utilization.

Since the cell bandwidth is much lower than the WLAN bandwidth, the increase of data transfer time in cells cannot be compensated by the reduction of data transfer time when a data call is carried by WLANs. ws 26 2 Resource Allocation for Integrated Voice and Data Services time is longer (shorter) with a decrease (increase) of Ndw , which results in a smaller (larger) traffic load that can be supported. As illustrated in Fig. 5b, the increase of data traffic load with Ndw becomes unnoticeable when Ndw is large (say, more than 10).

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