Distributed diversity in hybrid wireless networks

  • Authors:
  • Guevara Noubir;Yin Wang

  • Affiliations:
  • Northeastern University;Northeastern University

  • Venue:
  • Distributed diversity in hybrid wireless networks
  • Year:
  • 2010

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Abstract

Wireless communication networks span a wide range of applications such as traditional telephony, internet data access, and cyber-physical infrastructure monitoring. However, the quality of service is still lacking, and problems such as dropped calls, dead spots, and slow network speed are still very common. Those are due to fundamental constraints such as the scarcity of radio-frequency spectrum, signal propagation effects, e.g., channel fading and shadowing, and the small form factor of mobile devices with limited energy capacity and antenna diversity.In this thesis, we explore a new cooperative communication model. We investigate communication strategies that exploit the channel and traffic diversity across a set of cooperating mobile nodes equipped with multiple radio frequency interfaces (e.g., cellular, WiFi). The research aims at developing a framework for cooperation across multiple network layers to improve robustness, throughput, and delays. The proposed cooperation is based on two strategies: signal-combining and traffic-multiplexing. Within this framework, we propose and evaluate several distributed cooperation techniques operating at different hierarchical levels with resource constraints such as short-range RF bandwidth. Our evaluation is based on a combination of analysis, simulations, and real world experiments using system prototypes.