NDLI: Low Complexity Outage Optimal Distributed Channel Allocation for Vehicle-to-Vehicle Communications

Content Provider	IEEE Xplore Digital Library
Author	Bo Bai Wei Chen Letaief, K.B. Zhigang Cao
Copyright Year	1983
Abstract	Due to the potential of enhancing traffic safety, protecting environment, and enabling new applications, vehicular communications, especially vehicle-to-vehicle (V2V) communications, has recently been receiving much attention. Because of both safety and non-safety real-time applications, V2V communications has QoS requirements on rate, latency, and reliability. How to appropriately design channel allocation is therefore a key MAC/PHY layer issue in vehicular communications. The QoS requirements of real-time V2V communications can be met by achieving a low outage probability and high outage capacity. In this paper, we first formulate the subchannel allocation in V2V communications into a maximum matching problem on random bipartite graphs. A distributed shuffling based Hopcroft-Karp (DSHK) algorithm will then be proposed to solve this problem with a sub-linear complexity of O(N^{2/3}), where N is the number of subchannels. By studying the maximum matching generated by the DSHK algorithm on random bipartite graphs, the outage probabilities are derived in the high (two near vehicles) and low (two far away vehicles) SNR regimes, respectively. It is then demonstrated that the proposed method has a similar outage performance as the scenario of two communicating vehicles occupying N subchannels. By solving high degree algebraic equations, the outage capacity can be obtained to determine the maximum traffic rate given an outage probability constraint. It is also shown that the proposed scheme can take an advantage of small signaling overhead with only one-bit channel state information broadcasting for each subchannel.
Starting Page	161
Ending Page	172
Page Count	12
File Size	1711432
File Format	PDF
ISSN	07338716
Volume Number	29
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bipartite graph Resource management Complexity theory Signal to noise ratio Channel allocation Vehicles Fading Maximum matching Vehicle-to-vehicle communications Outage probability Outage capacity Random bipartite graph
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Electrical and Electronic Engineering

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