DocumentCode :
1014055
Title :
Communication over a wireless network with random connections
Author :
Gowaikar, Radhika ; Hochwald, Bertrand ; Hassibi, Babak
Author_Institution :
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
Volume :
52
Issue :
7
fYear :
2006
fDate :
7/1/2006 12:00:00 AM
Firstpage :
2857
Lastpage :
2871
Abstract :
A network of nodes in which pairs communicate over a shared wireless medium is analyzed. We consider the maximum total aggregate traffic flow possible as given by the number of users multiplied by their data rate. The model in this paper differs substantially from the many existing approaches in that the channel connections in this network are entirely random: rather than being governed by geometry and a decay-versus-distance law, the strengths of the connections between nodes are drawn independently from a common distribution. Such a model is appropriate for environments where the first-order effect that governs the signal strength at a receiving node is a random event (such as the existence of an obstacle), rather than the distance from the transmitter. It is shown that the aggregate traffic flow as a function of the number of nodes n is a strong function of the channel distribution. In particular, for certain distributions the aggregate traffic flow is at least n/(logn)d for some d>0, which is significantly larger than the O(√n) results obtained for many geometric models. The results provide guidelines for the connectivity that is needed for large aggregate traffic. The relation between the proposed model and existing distance-based models is shown in some cases.
Keywords :
geometry; radio networks; telecommunication traffic; wireless channels; channel distribution; geometric model; random connection; signal strength; traffic flow; wireless network; Aggregates; Geometry; Guidelines; Interference; Solid modeling; Telecommunication traffic; Throughput; Traffic control; Transmitters; Wireless networks; Ad-hoc networks; random connections; through-put;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2006.876254
Filename :
1650344
Link To Document :
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