The Experts below are selected from a list of 6 Experts worldwide ranked by ideXlab platform
Sayandev Mukherjee - One of the best experts on this subject based on the ideXlab platform.
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an lte Offload Solution using small cells with d2d links
International Conference on Communications, 2013Co-Authors: Hiroyuki Ishii, Xilin Cheng, Sayandev MukherjeeAbstract:Small cells are an attractive technology for Offloading traffic from the macrocellular network. The first small cell architecture for Offload was the femto cell, but it was not widely commercially deployed. This is because it had some drawbacks in terms of network planning such as interference handling. In this paper, we propose and study a new concept for a low-cost small cell base station (BS) for traffic Offloading from the macrocellular network. The main difference from a femto cell is that the communication with the user terminal (UE, in 3GPP terminology) uses the device-to-device (D2D) radio interface. The D2D radio interface is chosen because of the close proximity between UEs and small-cell BSs and its support for opportunistic access and flexible resource allocation. The proposed concept also increases operational efficiency by reducing the network planning effort required by the projected increased deployment density of BSs to meet future traffic demand. We describe the benefits of this Offload Solution for LTE networks and quantify the gains via analysis and simulation.
Hiroyuki Ishii - One of the best experts on this subject based on the ideXlab platform.
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an lte Offload Solution using small cells with d2d links
International Conference on Communications, 2013Co-Authors: Hiroyuki Ishii, Xilin Cheng, Sayandev MukherjeeAbstract:Small cells are an attractive technology for Offloading traffic from the macrocellular network. The first small cell architecture for Offload was the femto cell, but it was not widely commercially deployed. This is because it had some drawbacks in terms of network planning such as interference handling. In this paper, we propose and study a new concept for a low-cost small cell base station (BS) for traffic Offloading from the macrocellular network. The main difference from a femto cell is that the communication with the user terminal (UE, in 3GPP terminology) uses the device-to-device (D2D) radio interface. The D2D radio interface is chosen because of the close proximity between UEs and small-cell BSs and its support for opportunistic access and flexible resource allocation. The proposed concept also increases operational efficiency by reducing the network planning effort required by the projected increased deployment density of BSs to meet future traffic demand. We describe the benefits of this Offload Solution for LTE networks and quantify the gains via analysis and simulation.
Xilin Cheng - One of the best experts on this subject based on the ideXlab platform.
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an lte Offload Solution using small cells with d2d links
International Conference on Communications, 2013Co-Authors: Hiroyuki Ishii, Xilin Cheng, Sayandev MukherjeeAbstract:Small cells are an attractive technology for Offloading traffic from the macrocellular network. The first small cell architecture for Offload was the femto cell, but it was not widely commercially deployed. This is because it had some drawbacks in terms of network planning such as interference handling. In this paper, we propose and study a new concept for a low-cost small cell base station (BS) for traffic Offloading from the macrocellular network. The main difference from a femto cell is that the communication with the user terminal (UE, in 3GPP terminology) uses the device-to-device (D2D) radio interface. The D2D radio interface is chosen because of the close proximity between UEs and small-cell BSs and its support for opportunistic access and flexible resource allocation. The proposed concept also increases operational efficiency by reducing the network planning effort required by the projected increased deployment density of BSs to meet future traffic demand. We describe the benefits of this Offload Solution for LTE networks and quantify the gains via analysis and simulation.
Narisetty, Raja Revanth 1988- - One of the best experts on this subject based on the ideXlab platform.
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How long does it take to Offload traffic from firewall?
2014Co-Authors: Narisetty, Raja Revanth 1988-Abstract:Demonstration of how intelligent steering of classified application traffic with flows in OpenFlow protocol can alleviate firewall bottleneck issues. Irrespective of the available higher bandwidth capabilities of the network, traffic passing through a firewall, where every packet is statefully inspected and/or deep packet inespected (DPI), causes bottlenecks. Isolation of the classified application traffic from all other traffic by means of VLANs and MPLS has been proposed, and is being implemented. Our demonstration leverages the SDN paradigm and flow isolation is achieved by programming the forwarding plane in conjunction with a dynamic utilization of a firewall’s application-aware DPI capabilities and other analytics. In this respect, as soon as classified application traffic session has been positively identified by the firewall, a flow rule can be written to Offload the remainder of the data transfer from the firewall to a fast path on the switch. All sessions are inspected by the firewall, but not all packets of every session need to pass through the firewall. Thus the security is preserved and the throughput constraint is removed. The demonstration utilizes a virtual distributed firewall product from vARMOUR Networks, Inc. to deliver software defined security, SDSec. Once an application is identified for a new session (occurs within a small number of packets, usually less than 10), and the session is to be permitted, the remainder of the session’s packets are steered to a fast path on an OpenFlow switch using as a flow definition that exists for the duration of the session. We present the research investigations on the trade-offs for such a fast path mechanism through the network, considering processing delays introduced by the mechanism. Namely, an optimal session length should be determined for such a fast path mechanism to be worthwhile in a campus network. The main delay components to be measured and presented include: a flow setup requires a controller to push flows respective to programmable, the flow redirection takes time as such a flow should be activated at the programmable switch, and the network delay associated with the setup process. ‘What Is The Ideal Length Of Session To Benefit From The Intelligent Application Steering Based Dpi Offload Solution?’ For the application traffic to benefit from this intelligent Offload of deep packet inspection Solution, determining the ideal length of the session on the firewall is the objective of this work. In other words, we determine ‘How Long Does It Take to Offload Traffic from the Firewall?’ which is the ideal length of the session on the firewall for this intelligent Offload Solution.Engineering Technology, Department o
