Title :
Tethering over TV White-Space: Dynamic Hotspot Selection and Resource Allocation
Author :
Tabrizi, Haleh ; Farhadi, Golnaz ; Cioffi, J.M.
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA
Abstract :
In dense wireless areas where the cellular spectrum resources are insufficient, the conventional approach is to install more base-stations (BS) or offload some of the traffic onto unlicensed WiFi bands. Both approaches require adding new infrastructure that might be necessary for only a short time. Taking advantage of dual-hop communication, frequency reuse policies, and opportunistic use of white-spaces, this paper proposes an algorithm for operator-controlled tethering over TV white-space (TVWS). As such, in a dense wireless area, some nodes can act as hotspots and tether data to and from their corresponding slaves over TVWS. The proposed algorithm iteratively clusters the nodes into hotspots and slaves, and allocates resources with the objective of maximizing spectrum utilization. Evaluations show that the proposed algorithm can effectively exploit TVWS spectra, and given a fixed amount of network resources, it can significantly increase the number of supported users.
Keywords :
cellular radio; resource allocation; television broadcasting; wireless LAN; BS; TV white space; TVWS; WiFi bands; base stations; cellular spectrum resources; dual hop communication; dynamic hotspot selection; frequency reuse policies; resource allocation; spectrum utilization; Bandwidth; Clustering algorithms; Interference; Mobile communication; Noise; Resource management; Wireless communication;
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2013 IEEE 78th
Conference_Location :
Las Vegas, NV
DOI :
10.1109/VTCFall.2013.6692435