DocumentCode
1685310
Title
Cooperative Fractional Frequency Reuse Based on Partial Connectivity Among Clients
Author
Geirhofer, Stefan ; Oyman, Özgür
Author_Institution
Cornell Univ., Ithaca, NY
fYear
2008
Firstpage
1
Lastpage
5
Abstract
This paper develops a novel fractional frequency reuse (FFR) technique to reduce co-channel interference in broadband cellular wireless networks. In contrast to methods proposed earlier, this technique relies on peer-to-peer connectivity among clients and is based on user cooperation: clients bargain for spectrum by exchanging channel quality metrics and jointly find the sub-channel allocation which maximizes throughput. Assuming full connectivity among clients, the spectral efficiency performance of client-centric FFR is studied analytically in conjunction with the use of opportunistic scheduling techniques that realize multiuser diversity gains with increasing network density and this serves as an upper bound on the achievable performance gain. The method is then extended to the clustered case, in which clients are partially-connected, a more typical situation in practice. Finally, a system-level study for an IEEE 802.16 based broadband cellular system in realistic propagation environments is conducted and demonstrates a promising performance gain.
Keywords
WiMax; broadband networks; cellular radio; channel allocation; interference suppression; peer-to-peer computing; scheduling; IEEE 802.16 based broadband cellular system; broadband cellular wireless networks; channel quality metrics; clients bargain; cochannel interference reduction; cooperative fractional frequency reuse technique; multiuser diversity gains; opportunistic scheduling; peer-to-peer connectivity; subchannel allocation; Cellular networks; Diversity methods; Frequency; Interchannel interference; Peer to peer computing; Performance analysis; Performance gain; Throughput; Upper bound; Wireless networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
Conference_Location
New Orleans, LO
ISSN
1930-529X
Print_ISBN
978-1-4244-2324-8
Type
conf
DOI
10.1109/GLOCOM.2008.ECP.796
Filename
4698571
Link To Document