A graph coloring resource sharing scheme for full-duplex cellular-VANET heterogeneous networks

Tinghan Yang, Rongqing Zhang, Xiang Cheng, Liuqing Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations

Abstract

Recently, the vehicular ad hoc networks (VANETs) and full-duplex (FD) cellular networks have both attracted much research interest. Considering the trend of integrated networks in the future, in this paper, we focus on the FD cellular-VANET heterogeneous networks, where cellular uplinks, downlinks, and vehicle-to-vehicle (V2V) communication links co-exist and are permitted to reuse the same spectrum resources. This also leads to a more complicated interference scenario. In such a scenario, we for the first time study the joint resource blocks assignment and transmit power allocation problem. Specifically, we construct a graph to model the system, and further propose a graph coloring based resource sharing scheme to solve the problem, in order to achieve a relatively good trade-off between the network throughput and the computational complexity. The simulation results demonstrate the efficiency of our proposed algorithm.

Original languageEnglish (US)
Title of host publication2016 International Conference on Computing, Networking and Communications, ICNC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467385794
DOIs
StatePublished - Mar 23 2016
Externally publishedYes
EventInternational Conference on Computing, Networking and Communications, ICNC 2016 - Kauai, United States
Duration: Feb 15 2016Feb 18 2016

Publication series

Name2016 International Conference on Computing, Networking and Communications, ICNC 2016

Conference

ConferenceInternational Conference on Computing, Networking and Communications, ICNC 2016
CountryUnited States
CityKauai
Period2/15/162/18/16

Bibliographical note

Funding Information:
ACKNOWLEDGEMENT This work was supported in part by the National Natural Science Foundation of China under Grants 61571020 and 61172105; by the National 973 Project under Grant 2013CB336700; by the National Science Foundation CNS- 1343189; by the National 863 Project under Grants 2014AA01A706 and SS2015AA011306; by the Major Project from Beijing Municipal Science and Technology Commission under Grant D151100000115004, and by the open research fund of National Mobile Communications Research Laboratory (Grant No. 2016D03), Southeast University.

Publisher Copyright:
© 2016 IEEE.

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