Power Control in D2D-Based Vehicular Communication Networks

This paper studies how to efficiently apply device-to-device (D2D) communications underlaying a cellular system to support vehicle-to-vehicle (V2V) connection (termed D2D-V). By considering the geographic features of the D2D-V system, we propose a D2D-V grouping, reuse channel selection (RS), and po...

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Veröffentlicht in:IEEE transactions on vehicular technology Jg. 64; H. 12; S. 5547 - 5562
Hauptverfasser: Ren, Yi, Liu, Fuqiang, Liu, Zhi, Wang, Chao, Ji, Yusheng
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.12.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Channel state information
Channels
Complexity
Connected vehicles
Device-to-device communications
Highways
Interference
Mathematical models
Optimization
Power control
Simplification
Vehicle ad hoc networks
vehicle-tovehicle communications
Vehicles
Device-to-device (D2D) communications
power control (PC)
vehicle-to-vehicle (V2V) communications
ISSN:0018-9545, 1939-9359
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Zusammenfassung:This paper studies how to efficiently apply device-to-device (D2D) communications underlaying a cellular system to support vehicle-to-vehicle (V2V) connection (termed D2D-V). By considering the geographic features of the D2D-V system, we propose a D2D-V grouping, reuse channel selection (RS), and power control (PC) framework to achieve the optimal performance of the D2D-V system, in terms of either maximized sum rate or maximized minimally achievable rate. First, in a full channel state information (CSI) scenario, we apply difference of two convex functions (D.C.) programming to obtain the optimal PC. However, because the CSI between some terminals is hard to obtain and some interference can be appropriately inhibited by taking advantage of the vehicles' geographic features, we make a series of simplifications to the PC problem to reduce the requirement of full CSI, the dependence of centralized control, and the computational complexity. The suitable conditions of each simplification are elaborated. Each step of our simplifications are shown as a certain tradeoff between performance and complexity. Furthermore, we provide an investigation into the service quality that one vehicle can achieve when it passes through the covered segment of the highway and propose the location-service curve to portray this. We use numerical simulations to verify the accuracy and feasibility of each step of our suboptimal PC and specific features embedded in the location-service curve.
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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2015.2487365