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Extensive studies have been carried out for reducing the handover time of wireless mobile network at medium access control (MAC) layer. However, none of them show the impact of reduced handover timeon the overall performance of wireless mobile networks. This paper presents a quantitative analysis to show the impact of reduced handover time on the p...
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... performance measures adopted in this paper are network load, throughput, and the media access delay. The system is modeled in OPNET for both lightly and heavily loaded networks. Fig. 3 is based on our mathematical derivation that simulates the search-timer for the Min- Channel. The result of this simulation should fall between 670ms and 1024ms. The lowest threshold value has been derived from standard industry and IEEE has given the constant factors [1]. The upper threshold value, however, is suggested based on the ...
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... can be evident in Fig. 3 that below 670ms there is no significant improvement. However, for such a short period of time (i.e., below 670ms), it would likely decrease the overall network efficiency. This is due to the fact that below 670ms, it is more likely that channels will be more quickly declared as empty channels where as the maximum latency time will ...
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... of time (i.e., below 670ms), it would likely decrease the overall network efficiency. This is due to the fact that below 670ms, it is more likely that channels will be more quickly declared as empty channels where as the maximum latency time will gradually increase resulting in overall poor performance of the network. It should also be noted in Fig. 3 that as we increase the minimum threshold to 1024ms, this increases the overall network traffic. Fig. 4 shows a comparison of throughput versus network traffic. It can be clearly seen in Fig. 4 that as we linearly increase the network traffic, the overall throughput of the system decreases. In other words, an increase in minimum ...
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... seen in Fig. 4 that as we linearly increase the network traffic, the overall throughput of the system decreases. In other words, an increase in minimum channel time becomes one of the reasons for a decrease in overall network throughput. It should also be noted that the results of Fig. 4 is not only the experimental verification of the results of Fig. 3 but also provide some better and technical insight in the increase of throughput. In addition, the overall system throughput decreases sharply, however, it makes some spikes during the random intervals. It can be evident in Fig. 4 that the overall throughput increases significantly with respect to the varying network load represented ...
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... of Fig. 3 but also provide some better and technical insight in the increase of throughput. In addition, the overall system throughput decreases sharply, however, it makes some spikes during the random intervals. It can be evident in Fig. 4 that the overall throughput increases significantly with respect to the varying network load represented in Fig. ...
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Citations
... Cell selection and handover schemes influence the network performance [20], [21] and thus current section will examine the conditions that are imposed in our calculations by the aforementioned schemes. If cell 1 is the camping cell and assuming a best BS selection condition, then the transmission of cell-1 will be the best among the candidate cells i (=2, 3,…, 19), i.e. ...
Present work proposes a theoretical statistical model of the downlink power
consumption in cellular CDMA networks. The proposed model employs a simple but
popular propagation model, which breaks down path losses into a distance
dependent and a log-normal shadowing loss term. Based on the aforementioned
path loss formalism, closed-form expressions for the first and the second
moment of power consumption are obtained taking into account conditions placed
by cell selection and handoff algorithms. Numerical results for various radio
propagation environments and cell selection as well as handoff schemes are
provided and discussed.
... We are interesting here of research that try to reduce a scan phase. In fact, Syed S. Rizvi and all [11] verify that the active scanning can reduce the overall handover time at MAC layer if comparatively shorter beacon intervals are utilized for packet transmission. In [11], mathematical model is proposed to be used to effectively reduce the handover time of WLAN at MAC layer. ...
... In fact, Syed S. Rizvi and all [11] verify that the active scanning can reduce the overall handover time at MAC layer if comparatively shorter beacon intervals are utilized for packet transmission. In [11], mathematical model is proposed to be used to effectively reduce the handover time of WLAN at MAC layer. Simulation results verify that the utilization of probabilistic approach with the active scanning yields lower latency for each detection and search phases. ...
Mobility has now a crucial requirement for wireless comm unication. Handover is one of the major tasks that are used to support continuous transmission for a mobile terminal into different radio coverage area. Optimizing the existing handover protocol requires integrating new functionalities. This work focuses on presenting and optimizing handover algorithm. We analyze hand over time in wireless local area networks based on the IEEE 802.11 b MAC protocol. In fact, scan phase is the main contributor to the hand over time. Then, we propose a handover model which replaces a scan phase by a positioning process. This model is able to select the suitable access point (AP) based on the shortest distance far from the mobile terminal (MT). Proposed Handover allows a mobile user to reacting quickly to decide about to which access point to connect. Simulation results show that the proposed model provides gains in term of delays and Handover success in various scenarios
Mobile communication on the multi-beam satellite communication has attracted attention, since Digital Video Broadcasting – Return Channel Satellite (DVB-RCS) has been successively implemented. In general, multi beam satellite employs uniform allocation of RF power and bandwidth to multi beams, since it is hard to predict the distribution of traffic requests and the arrival rate of new connection. This makes it difficult to satisfy the traffic requests in a beam. Thus, when an unpredictable event, such as a disaster, regional warfare and deteriorating weather conditions, occur in a special spot beam, many more terminals will require access to a special beam channel. This causes the special beam channel to be saturated, while adjacent beam channel resources are available. Thus, we propose a novel handover strategy to improve satellite return link resource utilization using load balancing handover. Simulation results shows the proposed handover algorithm outperforms conventional handover algorithms in terms of new connection block probability, handover block probability, return link resource utilization and capacity request block rate.
