Quality-of-Service Driven Power and Sub-Carrier Allocation Policy for Vehicular Communication Networks

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 shoul...

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Bibliographic Details
Published in:IEEE journal on selected areas in communications 2011-01, Vol.29 (1), p.197-206
Main Authors: Zhang, Haixia, Ma, Yanbo, Yuan, Dongfeng, Chen, Hsiao-Hwa
Format: Article
Language:English
Subjects:
Allocations
Channels
Communication networks
Communications networks
convex optimization
Delay
OFDM
Optimization
Orthogonal Frequency Division Multiplexing
Policies
Power allocation
Power control
QoS
Quality of service
Resource allocation
Resource management
Studies
sub-carrier allocation
vehicular communication networks
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Summary: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.
ISSN:0733-8716
1558-0008
DOI:10.1109/JSAC.2011.110119