SCIRP Mobile Website

Why Us? >>

  • - Open Access
  • - Peer-reviewed
  • - Rapid publication
  • - Lifetime hosting
  • - Free indexing service
  • - Free promotion service
  • - More citations
  • - Search engine friendly

Free SCIRP Newsletters>>

Add your e-mail address to receive free newsletters from SCIRP.

 

Contact Us >>

WhatsApp  +86 18163351462(WhatsApp)
   
Paper Publishing WeChat
Book Publishing WeChat
(or Email:book@scirp.org)

Article citations

More>>

Zhang, H., Chu, X., Guo, W. and Wang, S. (2015) Coexistence of Wi-Fi and Heterogeneous Small Cell Networks Sharing Unlicensed Spectrum. Communications Magazine, IEEE, 53, 158-164. https://doi.org/10.1109/MCOM.2015.7060498

has been cited by the following article:

  • TITLE: Media Access with Spatial Reuse for Cooperative Spectrum Sensing

    AUTHORS: Xiao Shao, Harry Leib

    KEYWORDS: Cooperative Spectrum Sensing, Wireless Sensor Network, Media Access, Spatial Reuse

    JOURNAL NAME: Wireless Sensor Network, Vol.9 No.7, August 7, 2017

    ABSTRACT: The increasing interest for wireless communication services and scarcity of radio spectrum resources have created the need for a more flexible and efficient usage of the radio frequency bands. Cognitive Radio (CR) emerges as an important trend for a solution to this problem. Spectrum sensing is a crucial function in a CR system. Cooperative spectrum sensing can overcome fading and shadowing effects, and hence increase the reliability of primary user detection. In this paper we consider a system model of a dedicated detect-andforward wireless sensor network (DetF WSN) for cooperative spectrum sensing with k-out-of-n decision fusion in the presence of reporting channels errors. Using this model we consider the design of a spatial reuse media access control (MAC) protocol based on TDMA/OFDMA to resolve conflicts and conserve resources for intra-WSN communication. The influence of the MAC protocol on spectrum sensing performance of the WSN is a key consideration. Two design approaches, using greedy and adaptive simulated annealing (ASA) algorithms, are considered in detail. Performance results assuming a grid network in a Rician fading environment are presented for the two design approaches.