Title :
Geo-location database based TV white space for interference mitigation in LTE femtocell networks
Author :
Fei Peng ; Nan Wang ; Yue Gao ; Cuthbert, Laurie ; Xing Zhang
Author_Institution :
Sch. of Electron. Eng. & Comput. Sci., Queen Mary Univ. of London, London, UK
Abstract :
Interference mitigation between femtocells and the surrounding macrocells is one of the major challenges in femtocell deployment. This paper proposes a system architecture of using TV White Space (TVWS) in LTE femtocell networks, which includes: (i) a Geo-location database to obtain locally available TVWS information, and (ii) a new resource allocation scheme using the locally available TVWS to mitigate the downlink cross-tier interference between macrocell users and nearby femtocells. A two-tier multi-femtocell simulator is established to demonstrate the system performance. Simulations at different scenarios are conducted to compare the performance of the traditional all-shared resource allocation scheme, dynamic resource partitioning scheme and the proposed scheme. Simulation results show that the proposed scheme has better downlink interference mitigation performance in comparison with the other two schemes.
Keywords :
Long Term Evolution; femtocellular radio; interference suppression; radio spectrum management; resource allocation; LTE femtocell networks; TV white space; TVWS; cross-tier interference; dynamic resource partitioning; geo-location database; interference mitigation; macrocell users; resource allocation; Databases; Downlink; Femtocell networks; Interference; Macrocell networks; Resource management; TV; Cross-Tier Interference; Femtocell; Geo-location Database; Mobile Networks; TV White Space;
Conference_Titel :
World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2013 IEEE 14th International Symposium and Workshops on a
Conference_Location :
Madrid
Print_ISBN :
978-1-4673-5827-9
DOI :
10.1109/WoWMoM.2013.6583459