The Experts below are selected from a list of 459240 Experts worldwide ranked by ideXlab platform
Wenhuang Cheng - One of the best experts on this subject based on the ideXlab platform.
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intelligent deployment of uavs in 5g heterogeneous Communication Environment for improved coverage
Journal of Network and Computer Applications, 2017Co-Authors: Vishal Sharma, Kathiravan Srinivasan, Hanchieh Chao, Wenhuang ChengAbstract:With hard requirements of high performance for the next generation mobile Communication systems, especially 5G networks, coverage has been the crucial problem which requires the deployment of more stations by the service providers. However, this deployment of new stations is not cost effective and requires network replanning. This issue can easily be overcome by the use of Unmanned Aerial Vehicles (UAVs) in the existing Communication system. Thus, considering this as a problem, an intelligent solution is presented for the accurate and efficient placement of the UAVs with respect to the demand areas resulting in the increase in the capacity and coverage of the wireless networks. The proposed approach utilizes the priority-wise dominance and the entropy approaches for providing solutions to the two problems considered in this paper, namely, Macro Base Station (MBS) decision problem and the cooperative UAV allocation problem. Finally, network bargaining is defined over these solutions to accurately map the UAVs to the desired areas resulting in the significant improvement of the network parameters, namely, throughput, per User Equipment (UE) capacity, 5th percentile spectral efficiency, network delays and guaranteed signal to interference plus noise ratio by 6.3%, 16.6%, 55.9%, 48.2%, and 36.99%, respectively in comparison with the existing approaches.
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intelligent deployment of uavs in 5g heterogeneous Communication Environment for improved coverage
Journal of Network and Computer Applications, 2017Co-Authors: Vishal Sharma, Hanchieh Chao, Kathirava Srinivasa, Kailung Hua, Wenhuang ChengAbstract:With hard requirements of high performance for the next generation mobile Communication systems, especially 5G networks, coverage has been the crucial problem which requires the deployment of more stations by the service providers. However, this deployment of new stations is not cost effective and requires network replanning. This issue can easily be overcome by the use of Unmanned Aerial Vehicles (UAVs) in the existing Communication system. Thus, considering this as a problem, an intelligent solution is presented for the accurate and efficient placement of the UAVs with respect to the demand areas resulting in the increase in the capacity and coverage of the wireless networks. The proposed approach utilizes the priority-wise dominance and the entropy approaches for providing solutions to the two problems considered in this paper, namely, Macro Base Station (MBS) decision problem and the cooperative UAV allocation problem. Finally, network bargaining is defined over these solutions to accurately map the UAVs to the desired areas resulting in the significant improvement of the network parameters, namely, throughput, per User Equipment (UE) capacity, 5th percentile spectral efficiency, network delays and guaranteed signal to interference plus noise ratio by 6.3%, 16.6%, 55.9%, 48.2%, and 36.99%, respectively in comparison with the existing approaches.
M Zitterbart - One of the best experts on this subject based on the ideXlab platform.
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a survey of protocols to support ip mobility in aeronautical Communications
IEEE Communications Surveys and Tutorials, 2011Co-Authors: C Bauer, M ZitterbartAbstract:The aviation industry is currently at the beginning of a modernization phase regarding its Communication systems. This involves a transition to IP-based networks for Air Traffic Control and Airline Operational Communications. Due to the heterogeneous nature of the Communication Environment, support for mobility between different access technologies and access networks becomes necessary. We first introduce the aeronautical Communications Environment and present domain specific requirements. The main part of this article is a survey of different protocols that can be used to solve the IP mobility problem within the aeronautical Environment. These protocols are assessed with regard to the introduced requirements. We conclude with the identification of a particular protocol as the most suited solution and also identify areas for further work.
Donghee Shim - One of the best experts on this subject based on the ideXlab platform.
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a novel adaptive beamforming algorithm for a smart antenna system in a cdma mobile Communication Environment
IEEE Transactions on Vehicular Technology, 2000Co-Authors: Seungwon Choi, Donghee ShimAbstract:An alternative way of adaptive beamforming is presented. The main contribution of the new technique is in its simplicity with a minimal loss of accuracy. The total computational load for computing a suboptimal weight vector from each new signal vector is about O(2N/sup 2/+5N). It can further be reduced down to O(3N) by approximating the autocorrelation matrix with the instantaneous signal vector at each snapshot. The required condition on the adaptive gain for the proposed algorithm to converge is derived analytically. The proposed beamforming algorithm is applied to the base station of a code-division-multiple access (CDMA) mobile Communication system. The performance of the proposed method is shown in multipath fading Communication channels in terms of the signal-to-interference+noise ratio (SINR), the bit error rate (BER), and the achievable capacity of a given CDMA cell/sector.
Vishal Sharma - One of the best experts on this subject based on the ideXlab platform.
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intelligent deployment of uavs in 5g heterogeneous Communication Environment for improved coverage
Journal of Network and Computer Applications, 2017Co-Authors: Vishal Sharma, Kathiravan Srinivasan, Hanchieh Chao, Wenhuang ChengAbstract:With hard requirements of high performance for the next generation mobile Communication systems, especially 5G networks, coverage has been the crucial problem which requires the deployment of more stations by the service providers. However, this deployment of new stations is not cost effective and requires network replanning. This issue can easily be overcome by the use of Unmanned Aerial Vehicles (UAVs) in the existing Communication system. Thus, considering this as a problem, an intelligent solution is presented for the accurate and efficient placement of the UAVs with respect to the demand areas resulting in the increase in the capacity and coverage of the wireless networks. The proposed approach utilizes the priority-wise dominance and the entropy approaches for providing solutions to the two problems considered in this paper, namely, Macro Base Station (MBS) decision problem and the cooperative UAV allocation problem. Finally, network bargaining is defined over these solutions to accurately map the UAVs to the desired areas resulting in the significant improvement of the network parameters, namely, throughput, per User Equipment (UE) capacity, 5th percentile spectral efficiency, network delays and guaranteed signal to interference plus noise ratio by 6.3%, 16.6%, 55.9%, 48.2%, and 36.99%, respectively in comparison with the existing approaches.
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intelligent deployment of uavs in 5g heterogeneous Communication Environment for improved coverage
Journal of Network and Computer Applications, 2017Co-Authors: Vishal Sharma, Hanchieh Chao, Kathirava Srinivasa, Kailung Hua, Wenhuang ChengAbstract:With hard requirements of high performance for the next generation mobile Communication systems, especially 5G networks, coverage has been the crucial problem which requires the deployment of more stations by the service providers. However, this deployment of new stations is not cost effective and requires network replanning. This issue can easily be overcome by the use of Unmanned Aerial Vehicles (UAVs) in the existing Communication system. Thus, considering this as a problem, an intelligent solution is presented for the accurate and efficient placement of the UAVs with respect to the demand areas resulting in the increase in the capacity and coverage of the wireless networks. The proposed approach utilizes the priority-wise dominance and the entropy approaches for providing solutions to the two problems considered in this paper, namely, Macro Base Station (MBS) decision problem and the cooperative UAV allocation problem. Finally, network bargaining is defined over these solutions to accurately map the UAVs to the desired areas resulting in the significant improvement of the network parameters, namely, throughput, per User Equipment (UE) capacity, 5th percentile spectral efficiency, network delays and guaranteed signal to interference plus noise ratio by 6.3%, 16.6%, 55.9%, 48.2%, and 36.99%, respectively in comparison with the existing approaches.
C Bauer - One of the best experts on this subject based on the ideXlab platform.
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a survey of protocols to support ip mobility in aeronautical Communications
IEEE Communications Surveys and Tutorials, 2011Co-Authors: C Bauer, M ZitterbartAbstract:The aviation industry is currently at the beginning of a modernization phase regarding its Communication systems. This involves a transition to IP-based networks for Air Traffic Control and Airline Operational Communications. Due to the heterogeneous nature of the Communication Environment, support for mobility between different access technologies and access networks becomes necessary. We first introduce the aeronautical Communications Environment and present domain specific requirements. The main part of this article is a survey of different protocols that can be used to solve the IP mobility problem within the aeronautical Environment. These protocols are assessed with regard to the introduced requirements. We conclude with the identification of a particular protocol as the most suited solution and also identify areas for further work.