Title :
Coexistence of WiFi and LTE in unlicensed bands: A proportional fair allocation scheme
Author :
Cano, Cristina ; Leith, Douglas J.
Author_Institution :
School of Computer Science and Statistics, Trinity College Dublin, Ireland
Abstract :
The use of the unlicensed spectrum by LTE networks (LTE-U or LAA-LTE) is being considered by mobile operators in order to satisfy increasing traffic demands and to make better use of the licensed spectrum. However, coexistence issues arise when LTE-U coverage overlaps with other technologies currently operating in unlicensed bands, in particular WiFi. Since LTE uses a TDMA/OFDMA scheduled approach, coexisting WiFi networks may face starvation if the channel is fully occupied by LTE-U transmissions. In this paper we derive a novel proportional fair allocation scheme that ensures fair coexistence between LTE-U and WiFi. Importantly, we find that the proportional fair allocation is qualitatively different from previously consideredWiFi-only settings and that since the resulting allocation requires only quite limited knowledge of network parameters it is potentially easy to implement in practice, without the need for message-passing between heterogeneous networks.
Keywords :
Artificial neural networks; Base stations; Conferences; IEEE 802.11 Standard; Optimization; Resource management; Throughput; LAA-LTE; LTE Unlicensed; LTE-U; WiFi; coexistence; proportional fairness;
Conference_Titel :
Communication Workshop (ICCW), 2015 IEEE International Conference on
Conference_Location :
London, United Kingdom
DOI :
10.1109/ICCW.2015.7247522