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      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
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      Communication efficient channel estimation over distributed networks

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      Author
      Sayın, Muhammed O.
      Vanlı, N. Denizcan
      Göze, T.
      Kozat, Süleyman Serdar
      Date
      2014
      Source Title
      Proceedings of the GlobalSIP 2014: 2nd IEEE Global Conference on Signal and Information Processing, IEEE 2014
      Publisher
      IEEE
      Pages
      138 - 142
      Language
      English
      Type
      Conference Paper
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      Abstract
      We study diffusion based channel estimation in distributed architectures suitable for various communication applications such as cognitive radios. Although the demand for distributed processing is steadily growing, these architectures require a substantial amount of communication among their nodes (or processing elements) causing significant energy consumption and increase in carbon footprint. Due to growing awareness of telecommunication industry's impact on the environment, the need to mitigate this problem is indisputable. To this end, we introduce algorithms significantly reducing the communication load between distributed nodes, which is the main cause in energy consumption, while providing outstanding performance. In this framework, after each node produces its local estimate of the communication channel, a single bit or a couple of bits of information is generated using certain random projections. This newly generated data is diffused and then used in neighboring nodes to recover the original full information, i.e., the channel estimate of the desired communication channel. We provide the complete state-space description of these algorithms and demonstrate the substantial gains through our experiments.
      Keywords
      Carbon footprint
      Cognitive radio
      Communication channels (information theory)
      Network architecture
      Telecommunication industry
      Communication application
      Diffusion based channels
      Distributed architecture
      Distributed networks
      Distributed processing
      Impact on the environment
      Processing elements
      State-space description
      Channel estimation
      Permalink
      http://hdl.handle.net/11693/28652
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/GlobalSIP.2014.7032094
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      • Department of Electrical and Electronics Engineering 3524
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