1st International Conference on Integrated Internet Ad hoc and Sensor Networks

Research Article

Wireless link SNR mapping onto an indoor testbed

  • @INPROCEEDINGS{10.1109/TRIDNT.2005.39,
        author={Jing  Lei and Roy  Yates and Larry  Greenstein and Hang  Liu},
        title={Wireless link SNR mapping onto an indoor testbed},
        proceedings={1st International Conference on Integrated Internet Ad hoc and Sensor Networks},
        keywords={Indoor Testbed Path Loss Downlink SNR Minimum Weight Matching},
  • Jing Lei
    Roy Yates
    Larry Greenstein
    Hang Liu
    Year: 2005
    Wireless link SNR mapping onto an indoor testbed
    DOI: 10.1109/TRIDNT.2005.39
Jing Lei1,*, Roy Yates1,*, Larry Greenstein1,*, Hang Liu1,*
  • 1: Rutgers University, 73 Brett Road, Piscataway, NJ 08854, USA
*Contact email: michelle@winlab.rutgers.edu, ryates@winlab.rutgers.edu, ljg@winlab.rutgers.edu, hliu@winlab.rutgers.edu


To facilitate a broad range of experimental research on novel protocols and application concepts, we consider an indoor wireless testbed to emulate the performance of real-world networks. A fundamental issue for emulation is the replication of communication links of specified quality. In particular, we need to replicate on the testbed, for every link in the real world, a communication link whose received signal-to-interference-and-noise-ratio (SINR) matches the corresponding link signal-to-noise-ratio (SNR). In this paper, we focus on the downlink SNR mapping associated with a network with a single access point (AP). Four indoor wireless propagation models (commercial buildings with/without line-of-sight path and residential buildings with/without line-of-sight path) and two types of spatial distributions (uniform distribution inside a circular cell and uniform distribution along a line) have been investigated. Based on the characteristics of the indoor testbed, we propose a mapping method with one AP and one interferer, which separates the task into two phases: in the first phase, the best location and transmission power for the interferer node are determined; in the second phase, the topology of receiver nodes is configured by a minimum weight matching algorithm. Through analysis and simulations, we find that when the interferer node is located on the corner across from the AP, we can achieve a mapping range on the order of 57 dB and an average root-mean-square (RMS) mapping error less than 1 dB.