Wireless Networks

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H. T. Kung - One of the best experts on this subject based on the ideXlab platform.

  • GPSR: Greedy Perimeter Stateless Routing for Wireless Networks
    ACM MobiCom, 2000
    Co-Authors: Brad Karp, H. T. Kung
    Abstract:

    We present Greedy Perimeter Stateless Routing (GPSR), a novel routing protocol for Wireless datagram Networks that uses the positions of routers and a packet's destination to make packet forwarding decisions. GPSR makes greedy forwarding decisions using only information about a router's immediate neighbors in the network topology. When a packet reaches a region where greedy forwarding is impossible, the algorithm recovers by routing around the perimeter of the region. By keeping state only about the local topology, GPSR scales better in per-router state than shortest-path and ad hoc routing protocols as the number of network destinations increases. Under mobility's frequent topology changes, GPSR can use local topology information to find correct new routes quickly. We describe the GPSR protocol, and use extensive simulation of mobile Wireless Networks to compare its performance with that of Dynamic Source Routing. Our simulations demonstrate GPSR's scalability on densely deployed Wireless Networks.

Wei Wang - One of the best experts on this subject based on the ideXlab platform.

  • Socially enabled Wireless Networks: resource allocation via bipartite graph matching
    IEEE Communications Magazine, 2015
    Co-Authors: Li Wang, Wen-tong Wang, Huaqing Wu, Wei Wang, Kwang-cheng Chen
    Abstract:

    The influence of social interactions among mobile devices and network components in Wireless Networks has attracted substantial attention due to its potential impact on resource allocation of spectrum and power in particular. We present an organized social graphical view on resource allocation and then extend to multi-objective resource allocation of Wireless Networks. We subsequently consider taking advantage of multi-dimensional resources, including radio resource, user behavior, and content characteristics, such that we can successfully integrate caching capability, interest similarity, and content popularity and distribution into Wireless network design. As an illustration, device-to-device communications is utilized to form pairs and clusters of mobile devices regarding optimal resource matching via a bipartite graph. This socially enabled methodology highlights new potential to design Wireless Networks and 5G mobile communications.

  • a framework for maximum capacity in multi channel multi radio Wireless Networks
    Consumer Communications and Networking Conference, 2006
    Co-Authors: Wei Wang
    Abstract:

    Wireless Networks with multi-channel multi-radio availability are attracting more and more attention from the research community because of its performance improvement and relatively low cost and complexity. Most work in the literature consider the performance of multi-channel multiradio Wireless Networks with predefined numbers of channels and radios, and develop algorithms for channel allocation and transmission scheduling. The capacity limit on multi-channel multi-radio Wireless Networks was seldom addressed before. In this work, we study two problems: In a specific topology, 1) what is the maximum capacity we can get given the number of channels and radios? and 2) what is the impact of the number of radios on the system performance? To answer the above questions, we propose a general framework to find the maximum capacity given a multi-channel multi-radio Wireless network. Its result also provides an indication of the “goodness” of a topology. We then use the framework to study the impact of radio constraints.

Brad Karp - One of the best experts on this subject based on the ideXlab platform.

  • GPSR: Greedy Perimeter Stateless Routing for Wireless Networks
    ACM MobiCom, 2000
    Co-Authors: Brad Karp, H. T. Kung
    Abstract:

    We present Greedy Perimeter Stateless Routing (GPSR), a novel routing protocol for Wireless datagram Networks that uses the positions of routers and a packet's destination to make packet forwarding decisions. GPSR makes greedy forwarding decisions using only information about a router's immediate neighbors in the network topology. When a packet reaches a region where greedy forwarding is impossible, the algorithm recovers by routing around the perimeter of the region. By keeping state only about the local topology, GPSR scales better in per-router state than shortest-path and ad hoc routing protocols as the number of network destinations increases. Under mobility's frequent topology changes, GPSR can use local topology information to find correct new routes quickly. We describe the GPSR protocol, and use extensive simulation of mobile Wireless Networks to compare its performance with that of Dynamic Source Routing. Our simulations demonstrate GPSR's scalability on densely deployed Wireless Networks.

  • GPSR: Greedy perimeter stateless routing for Wireless Networks
    2000
    Co-Authors: Brad Karp
    Abstract:

    karp @ eecs.harvard.edu We present Greedy Perimeter Stateless Routing (GPSR), a novel routing protocol for Wireless datagram Networks that uses the po-sitions of touters and a packer's destination to make packet for-warding decisions. GPSR makes greedy forwarding decisions us-ing only information about a router's immediate neighbors in the network topology. When a packet reaches a region where greedy forwarding is impossible, the algorithm recovers by routing around the perimeter of the region. By keeping state only about the local topology, GPSR scales better in per-router state than shortest-path and ad-hoc routing protocols as the number of network destinations increases. Under mobility's frequent topology changes, GPSR can use local topology information to find correct new routes quickly. We describe the GPSR protocol, and use extensive simulation of mobile Wireless Networks to compare its performance with that of Dynamic Source Routing. Our simulations demonstrate GPSR's scalability on densely deployed Wireless Networks

Hailin Zhang - One of the best experts on this subject based on the ideXlab platform.

  • Statistical-QoS Driven Energy-Efficiency Optimization Over Green 5G Mobile Wireless Networks
    IEEE Journal on Selected Areas in Communications, 2016
    Co-Authors: Wenchi Cheng, Xi Zhang, Hailin Zhang
    Abstract:

    Since the Information and Communications Technologies (ICT) were designed without taking the energy-saving into account, the unexpected excessive energy consumption of the fourth-generation (4G) and pre-4G Wireless Networks causes serious carbon dioxide emissions. To achieve green Wireless Networks, the fifth-generation (5G) Wireless Networks are expected to significantly increase the network energy efficiency while guaranteeing the quality of service (QoS) for time-sensitive multimedia Wireless traffics. In this paper, we develop the statistical delay-bounded QoS driven green power allocation schemes to maximize the effective power efficiency (EPE), which is defined as the statistical-QoS-guaranteed throughput (effective capacity) per unit power, over single-input single-output (SISO) and multipleinput multiple-output (MIMO)-channels based 5G mobile Wireless Networks. For the SISO-channel based 5G Wireless Networks, our developed QoS-driven green power allocation scheme converges to the despicking water-filling scheme (despicking channel inversion scheme) when the QoS constraint becomes very loose (stringent). We further develop and analyze the statistical-QoS-driven green power allocation scheme to maximize the EPE over the multiplexing-MIMO based 5G mobile Wireless Networks. The obtained numerical results show that our developed statistical QoS-driven green power allocation schemes can optimize the EPE over 5G mobile Wireless Networks, thus enabling the effective implementation of green 5G Wireless Networks.

Xi Zhang - One of the best experts on this subject based on the ideXlab platform.

  • scalable virtualization and offloading based software defined architecture for heterogeneous statistical qos provisioning over 5g multimedia mobile Wireless Networks
    IEEE Journal on Selected Areas in Communications, 2018
    Co-Authors: Xi Zhang, Qixuan Zhu
    Abstract:

    As a crucial step moving towards the next generation of super-fast Wireless Networks, recently the fifth-generation (5G) mobile Wireless Networks have received a plethora of research attention and efforts from both the academia and industry. The 5G mobile Wireless Networks are expected to provision distinct delay-bounded quality of service (QoS) guarantees for a wide range of multimedia services, applications, and users with extremely diverse requirements. However, how to efficiently support multimedia services over 5G Wireless Networks has imposed many new challenging issues not encountered before in the fourth-generation Wireless Networks. To overcome these new challenges, we propose a novel network-function virtualization and mobile-traffic offloading based software-defined network (SDN) architecture for heterogeneous statistical QoS provisioning over 5G multimedia mobile Wireless Networks. Specifically, we develop the novel SDN architecture to scalably virtualize Wireless resources and physical infrastructures, based on user’s locations and requests, into three types of virtual Wireless Networks: virtual Networks without offloading, virtual Networks with WiFi offloading, and virtual Networks with device-to-device offloading. We derive the optimal transmit power allocation schemes to maximize the aggregate effective capacity, overall spectrum efficiency, and other related performances for these three types of virtual Wireless Networks. We also derive the scalability improvements of our proposed three integrated virtual Networks. Finally, we validate and evaluate our developed schemes through numerical analyses, showing significant performance improvements as compared with other existing schemes.

  • Statistical-QoS Driven Energy-Efficiency Optimization Over Green 5G Mobile Wireless Networks
    IEEE Journal on Selected Areas in Communications, 2016
    Co-Authors: Wenchi Cheng, Xi Zhang, Hailin Zhang
    Abstract:

    Since the Information and Communications Technologies (ICT) were designed without taking the energy-saving into account, the unexpected excessive energy consumption of the fourth-generation (4G) and pre-4G Wireless Networks causes serious carbon dioxide emissions. To achieve green Wireless Networks, the fifth-generation (5G) Wireless Networks are expected to significantly increase the network energy efficiency while guaranteeing the quality of service (QoS) for time-sensitive multimedia Wireless traffics. In this paper, we develop the statistical delay-bounded QoS driven green power allocation schemes to maximize the effective power efficiency (EPE), which is defined as the statistical-QoS-guaranteed throughput (effective capacity) per unit power, over single-input single-output (SISO) and multipleinput multiple-output (MIMO)-channels based 5G mobile Wireless Networks. For the SISO-channel based 5G Wireless Networks, our developed QoS-driven green power allocation scheme converges to the despicking water-filling scheme (despicking channel inversion scheme) when the QoS constraint becomes very loose (stringent). We further develop and analyze the statistical-QoS-driven green power allocation scheme to maximize the EPE over the multiplexing-MIMO based 5G mobile Wireless Networks. The obtained numerical results show that our developed statistical QoS-driven green power allocation schemes can optimize the EPE over 5G mobile Wireless Networks, thus enabling the effective implementation of green 5G Wireless Networks.

  • arrow wtcp a fast transport protocol based on explicit congestion notification over wired Wireless Networks
    Global Communications Conference, 2010
    Co-Authors: Jianxin Wang, Liang Rong, Xi Zhang
    Abstract:

    The inefficiency of legacy transmission control protocol (TCP) over wired/Wireless Networks inspired numerous research results in recent decade. To design a congestion control protocol that can achieve strong stability, fairness, fast convergence and high-utilization in hybrid Networks, we propose AcceleRate tRansmission towards Optimal Window size TCP for Wireless Networks (ARROW-WTCP) by providing a joint design of source and router algorithms, which enables feasible deployment of ARROW-TCP from wired to Wireless Networks. In our experimental study, we compare ARROW-WTCP with eXplicit Control Protocol Blind (XCP-B), the Wireless version of XCP. Simulation results show that ARROW-WTCP outperforms XCP-B in terms of stability, fairness, convergence and utilization under highly dynamic Wireless Networks.