NDLI: Capacity of Random Wireless Networks: Impact of Physical-Layer Network Coding

Content Provider	IEEE Xplore Digital Library
Author	Kejie Lu Shengli Fu Yi Qian
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Puerto Rico at Mayagiiez, Mayaguez (Kejie Lu)
Abstract	Since the pioneer work by Gupta and Kumar, the throughput capacity of random wireless networks has been studied extensively in the literature. Nevertheless, most existing studies are based on the assumption that each node can receive at most one transmission at a time. However, several recent studies have shown that such a constraint can be relaxed. Particularly, with physical-layer network coding, one node can receive more than one transmission from different transmitters simultaneously. In this paper, we investigate the impact of physical-layer network coding on the throughput capacity of random wireless networks. Our analysis show that the physical-layer network coding scheme can improve the throughput capacity but cannot change the scaling law. Specifically, for one-dimensional random wireless network, our analysis provides the capacity of network with physical-layer network coding. For two-dimensional random wireless networks, we derive tighter capacity bounds for existing transmission schemes, as well as the bounds for physical-layer network coding.
Starting Page	3903
Ending Page	3907
File Size	175670
Page Count	5
File Format	PDF
ISBN	9781424420759
DOI	10.1109/ICC.2008.733
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless networks Network coding Throughput Peer to peer computing Decoding Relays Communications Society NIST Transmitters Broadcasting
Content Type	Text
Resource Type	Article

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