The Experts below are selected from a list of 1566 Experts worldwide ranked by ideXlab platform
Hyunsoo Yoon - One of the best experts on this subject based on the ideXlab platform.
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a smart handover decision algorithm using location prediction for hierarchical macro Femto Cell networks
Vehicular Technology Conference, 2011Co-Authors: Byungjin Jeong, Seungjae Shin, Ingook Jang, Nak Woon Sung, Hyunsoo YoonAbstract:To reduce the number of unnecessary handover in hierarchical macro/Femto-Cell networks, it is necessary to avoid macro -> Femto Cell handovers of temporary FemtoCell visitors who stay in the FemtoCell for a relatively short time. In this paper, we propose a smart handover decision algorithm exploiting future mobility pattern prediction scheme to prevent macro -> Femto Cell handovers of such temporary FemtoCell visitors. Our simulation result shows that the proposed algorithm effectively reduces the number of unnecessary handovers.
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VTC Fall - A Smart Handover Decision Algorithm Using Location Prediction for Hierarchical Macro/Femto-Cell Networks
2011 IEEE Vehicular Technology Conference (VTC Fall), 2011Co-Authors: Byungjin Jeong, Seungjae Shin, Ingook Jang, Nak Woon Sung, Hyunsoo YoonAbstract:To reduce the number of unnecessary handover in hierarchical macro/Femto-Cell networks, it is necessary to avoid macro -> Femto Cell handovers of temporary FemtoCell visitors who stay in the FemtoCell for a relatively short time. In this paper, we propose a smart handover decision algorithm exploiting future mobility pattern prediction scheme to prevent macro -> Femto Cell handovers of such temporary FemtoCell visitors. Our simulation result shows that the proposed algorithm effectively reduces the number of unnecessary handovers.
Byungjin Jeong - One of the best experts on this subject based on the ideXlab platform.
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a smart handover decision algorithm using location prediction for hierarchical macro Femto Cell networks
Vehicular Technology Conference, 2011Co-Authors: Byungjin Jeong, Seungjae Shin, Ingook Jang, Nak Woon Sung, Hyunsoo YoonAbstract:To reduce the number of unnecessary handover in hierarchical macro/Femto-Cell networks, it is necessary to avoid macro -> Femto Cell handovers of temporary FemtoCell visitors who stay in the FemtoCell for a relatively short time. In this paper, we propose a smart handover decision algorithm exploiting future mobility pattern prediction scheme to prevent macro -> Femto Cell handovers of such temporary FemtoCell visitors. Our simulation result shows that the proposed algorithm effectively reduces the number of unnecessary handovers.
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VTC Fall - A Smart Handover Decision Algorithm Using Location Prediction for Hierarchical Macro/Femto-Cell Networks
2011 IEEE Vehicular Technology Conference (VTC Fall), 2011Co-Authors: Byungjin Jeong, Seungjae Shin, Ingook Jang, Nak Woon Sung, Hyunsoo YoonAbstract:To reduce the number of unnecessary handover in hierarchical macro/Femto-Cell networks, it is necessary to avoid macro -> Femto Cell handovers of temporary FemtoCell visitors who stay in the FemtoCell for a relatively short time. In this paper, we propose a smart handover decision algorithm exploiting future mobility pattern prediction scheme to prevent macro -> Femto Cell handovers of such temporary FemtoCell visitors. Our simulation result shows that the proposed algorithm effectively reduces the number of unnecessary handovers.
Claudio Coletti - One of the best experts on this subject based on the ideXlab platform.
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VTC Spring - How Much Can Wi-Fi Offload? A Large-Scale Dense-Urban Indoor Deployment Study
2012 IEEE 75th Vehicular Technology Conference (VTC Spring), 2012Co-Authors: Claudio Coletti, Nguyen Huan, Preben Mogensen, Jan EllingAbstract:this paper is envisaged to provide a first quantitative study on how much indoor deployed Wi-Fi can offload the operator's 3G HSPA macro Cellular networks in a real large-scale dense-urban scenario. Wi-Fi has been perceived as a cost-effective mean of adding wireless capacity by leveraging low-cost access points and unlicensed spectrum. However, the quantitative offloading gain that Wi-Fi can achieve is still unknown. We studied the Wi-Fi offloading gain as a function of access point density, where it is shown that 10 access points/km2 can already boost average user throughput by 300% and the gain increases linearly proportional to the access point density. Indoor Wi-Fi deployment also significantly reduces the number of users in outage, especially for indoor area. A user is considered to be in outage if they have a user throughput less than 512 kbps. We also propose three Wi-Fi deployment algorithms: Traffic-centric, Outage-centric, Uniform Random. Simulation results show that Traffic-centric performs best in boosting average user throughput while Outage-centric performs best in reducing user outage. Finally, Wi-Fi offloading solution is compared with another offloading solution - HSPA Femto Cell. We show that Wi-Fi provides both much higher average user throughput and network outage reduction than HSPA Femto Cells by exploring 20 MHz unlicensed ISM band.
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VTC Fall - Realistic Indoor Wi-Fi and Femto Deployment Study as the Offloading Solution to LTE Macro Networks
2012 IEEE Vehicular Technology Conference (VTC Fall), 2012Co-Authors: Claudio Coletti, Nguyen Huan, Istvan Z. Kovacs, Benny Vejlgaard, Ralf Irmer, Neil ScullyAbstract:This paper investigates the downlink performance of indoor deployed Wi-Fi and Femto as the offloading solution to the LTE macro Cellular networks in a realistic large-scale dense-urban scenario. With an assumed broadband traffic volume growth of 50x compared to today's levels, it is evaluated that a dual-carrier LTE macro network will not be able to provide sufficient service coverage with a 1 Mbps minimum data rate and, indoor coverage is identified as the major bottleneck.. We evaluate the performance of indoor Wi-Fi and Femto Cell deployment to offload the congested LTE macro network. We show that, in a dual-carrier LTE macro case with a total of 30 MHz spectrum, Wi-Fi access point density of 230/km2 is required to meet the set target of 90% coverage with a minimum user data rate of 1 Mbps. For the same scenario it was found that an out-band Femto access point density of 1200/km2 is required. Furthermore, we show that in-band Femto Cell cannot meet the set network requirement even at a very high access point density. We also show that Wi-Fi and Femto Cell can offload the same amount of traffic when they are deployed at the same access point density.
Ingook Jang - One of the best experts on this subject based on the ideXlab platform.
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a smart handover decision algorithm using location prediction for hierarchical macro Femto Cell networks
Vehicular Technology Conference, 2011Co-Authors: Byungjin Jeong, Seungjae Shin, Ingook Jang, Nak Woon Sung, Hyunsoo YoonAbstract:To reduce the number of unnecessary handover in hierarchical macro/Femto-Cell networks, it is necessary to avoid macro -> Femto Cell handovers of temporary FemtoCell visitors who stay in the FemtoCell for a relatively short time. In this paper, we propose a smart handover decision algorithm exploiting future mobility pattern prediction scheme to prevent macro -> Femto Cell handovers of such temporary FemtoCell visitors. Our simulation result shows that the proposed algorithm effectively reduces the number of unnecessary handovers.
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VTC Fall - A Smart Handover Decision Algorithm Using Location Prediction for Hierarchical Macro/Femto-Cell Networks
2011 IEEE Vehicular Technology Conference (VTC Fall), 2011Co-Authors: Byungjin Jeong, Seungjae Shin, Ingook Jang, Nak Woon Sung, Hyunsoo YoonAbstract:To reduce the number of unnecessary handover in hierarchical macro/Femto-Cell networks, it is necessary to avoid macro -> Femto Cell handovers of temporary FemtoCell visitors who stay in the FemtoCell for a relatively short time. In this paper, we propose a smart handover decision algorithm exploiting future mobility pattern prediction scheme to prevent macro -> Femto Cell handovers of such temporary FemtoCell visitors. Our simulation result shows that the proposed algorithm effectively reduces the number of unnecessary handovers.
Seungjae Shin - One of the best experts on this subject based on the ideXlab platform.
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a smart handover decision algorithm using location prediction for hierarchical macro Femto Cell networks
Vehicular Technology Conference, 2011Co-Authors: Byungjin Jeong, Seungjae Shin, Ingook Jang, Nak Woon Sung, Hyunsoo YoonAbstract:To reduce the number of unnecessary handover in hierarchical macro/Femto-Cell networks, it is necessary to avoid macro -> Femto Cell handovers of temporary FemtoCell visitors who stay in the FemtoCell for a relatively short time. In this paper, we propose a smart handover decision algorithm exploiting future mobility pattern prediction scheme to prevent macro -> Femto Cell handovers of such temporary FemtoCell visitors. Our simulation result shows that the proposed algorithm effectively reduces the number of unnecessary handovers.
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VTC Fall - A Smart Handover Decision Algorithm Using Location Prediction for Hierarchical Macro/Femto-Cell Networks
2011 IEEE Vehicular Technology Conference (VTC Fall), 2011Co-Authors: Byungjin Jeong, Seungjae Shin, Ingook Jang, Nak Woon Sung, Hyunsoo YoonAbstract:To reduce the number of unnecessary handover in hierarchical macro/Femto-Cell networks, it is necessary to avoid macro -> Femto Cell handovers of temporary FemtoCell visitors who stay in the FemtoCell for a relatively short time. In this paper, we propose a smart handover decision algorithm exploiting future mobility pattern prediction scheme to prevent macro -> Femto Cell handovers of such temporary FemtoCell visitors. Our simulation result shows that the proposed algorithm effectively reduces the number of unnecessary handovers.
