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}, publisher={IEEE}, proceedings_a={TRIDENTCOM}, year={2005}, month={3}, keywords={Indoor Testbed Path Loss Downlink SNR Minimum Weight Matching}, doi={10.1109/TRIDNT.2005.39} }- Jing Lei
Roy Yates
Larry Greenstein
Hang Liu
Year: 2005
Wireless link SNR mapping onto an indoor testbed
TRIDENTCOM
IEEE
DOI: 10.1109/TRIDNT.2005.39
Abstract
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.
