标题:Quality-of-Service Driven Power and Sub-Carrier Allocation Policy for Vehicular Communication Networks
作者:Zhang, Haixia;Ma, Yanbo;Yuan, Dongfeng;Chen, Hsiao-Hwa
作者机构:[Zhang, H] School of Information Science and Engineering, Shandong University, China, National Mobile Communication Research Lab., Southeast Universit 更多
通讯作者:Zhang, H
通讯作者地址:[Zhang, HX]Shandong Univ, Sch Informat Sci & Engn, Jinan, Shandong, Peoples R China.
来源:IEEE Journal on Selected Areas in Communications
出版年:2011
卷:29
期:1
页码:197-206
DOI:10.1109/JSAC.2011.110119
关键词:Power allocation;QoS;convex optimization;sub-carrier allocation;vehicular communication networks
摘要:To improve power efficiency in vehicle-to-roadside infrastructure (V2I) communication networks, this paper proposes a joint power and sub-carrier assignment policy under delay aware quality of service (QoS) requirements. Due to the real-time nature of the V2I transmissions, the proposed policy should satisfy delay aware QoS requirements with a minimized power consumption. In particular, we develop a cross-layer framework in which orthogonal frequency division multiplexing (OFDM) is employed at the physical layer and the proposed power and sub-carrier assignment policy works at the data link layer. Under the assumption that the instantaneous channel state information (CSI) of all users is known, the optimization problem can be formulated and solved with the help of a time-sharing factor. The obtained results show that both the optimal power allocation and the optimal sub-carrier assignment depend on the delay aware QoS requirements of each user. We also theoretically prove that the proposed power allocation policy converges to the classical water-filling policy if we do not consider the QoS requirements. Experimental results reveal that the proposed policy offers a superior performance over the existing resource allocation policies.
收录类别:EI;SCOPUS;SCIE
WOS核心被引频次:37
Scopus被引频次:45
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-78651243402&doi=10.1109%2fJSAC.2011.110119&partnerID=40&md5=26b7a11b9178ff1225221ae15449e81d
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