CENTAUR: realizing the full potential of centralized wlans through a hybrid data path
Proceedings of the 15th annual international conference on Mobile computing and networking
SourceSync: a distributed wireless architecture for exploiting sender diversity
Proceedings of the ACM SIGCOMM 2010 conference
Improving wireless network performance using sensor hints
Proceedings of the 8th USENIX conference on Networked systems design and implementation
Random access heterogeneous MIMO networks
Proceedings of the ACM SIGCOMM 2011 conference
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
JMB: scaling wireless capacity with user demands
Proceedings of the ACM SIGCOMM 2012 conference on Applications, technologies, architectures, and protocols for computer communication
Bringing cross-layer MIMO to today's wireless LANs
Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM
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The proliferation of smartphones and tablet devices is changing the landscape of user connectivity and data access from predominantly static users to a mix of static and mobile users. While significant advances have been made in wireless transmission strategies (e.g., network MIMO) to meet the increased demand for capacity, such strategies primarily cater to static users. To cope with growing heterogeneity in data access, it is critical to identify and optimize strategies that can cater to users of various profiles to maximize system performance and more importantly, improve users' quality of experience. Towards this goal, we first show that users can be profiled into three distinct categories based on their data access (mobility) and channel coherence characteristics. Then, with real-world experiments, we show that the strategy that best serves users in these categories varies distinctly from one profile to another and belongs to the class of strategies that emphasize either multiplexing (eg., netMIMO), diversity (eg., distributed antenna systems) or reuse (eg., conventional CSMA). Two key challenges remain in translating these inferences to a practical system, namely: (i) how to profile users, and (ii) how to combine strategies to communicate with users of different profiles simultaneously. In addressing these challenges, we present the initial design of TRINITY - a practical system that effectively caters to a heterogeneous set of users spanning multiple profiles simultaneously.