A novel framework of effective resource management for multi-hop wireless networks

  • Chen Liu | University of Alberta

Over the years, wireless networks have been widely applied to offer ubiquitous and inexpensive Internet access within a wide coverage. However, there is a huge gap between diverse user/application requirements and limited network delivery capability. To minimize this gap and make wireless networks a more tractable environment to support quality of experience, my research proposes a novel framework of effective resource management for multi-hop wireless networks. This framework offers innovative globalized-local optimization which achieves competitive performance as global optimization, with much smaller search space, lower computational complexity and zero control-message passing. Furthermore, this framework offers a holistic method to effectively control network behaviors including: 1) dynamic interference and network conditions, 2) inter-path and intra-path interference, 3) correlated congestion and collisions, 4) co-existence of conflicts and wastes, and 5) multi-standard fairness criteria.

Speaker Details

Chen Liu is a Ph.D. candidate in Computing Science at the University of Alberta, Canada. She received her Master’s degree in Computer Science from the University of Saskatchewan, Canada, and her bachelor’s degree in Computer Science from Tianjin University of Technology, China. Her current research interests include resource allocation, network optimization, congestion control, quality of service/experience, protocol design, and network simulation.

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      Jeff Running

Series: Microsoft Research Talks