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Distributed Utility Optimization in Vehicular Communication Systems

Miguel A. Diaz-Ibarra, Daniel U. Campos-Delgado, Carlos A. Gutierrez, Jose M. Luna-Rivera, Francisco J. Cabrera-Almeida

TL;DR

Simulation results indicate that the proposed scheme reaches the objective SINRs that maximize utility and improve energy efficiency in the network with a low time cost.

Abstract

In this paper, we study the problem of utility maximization in the uplink of vehicle-to-infrastructure communication systems. The studied scenarios consider four practical aspects of mobile radio communication links: i) Interference between adjacent channels, ii) interference between roadside units along the way, iii) fast and slow channel fadings, and iv) Doppler shift effects. We present first the system model for the IEEE 802.11p standard, which considers a communication network between vehicles and roadside infrastructure. Next, we formulate the problem of utility maximization in the network, and propose a distributed optimization scheme. This distributed scheme is based on a two-loop feedback configuration, where an outer-loop establishes the optimal signal to interference-noise ratio (SINR) that maximizes the utility function per vehicle and defines a quality-of-service objective. Meanwhile, inner-control loops adjust the transmission power to achieve this optimal SINR reference in each vehicle node regardless of interference, time-varying channel profiles and network latency. The computation complexity of the distributed utility maximization scheme is analyzed for each feedback loop. Simulation results indicate that the proposed scheme reaches the objective SINRs that maximize utility and improve energy efficiency in the network with a low time cost. The results also show that the maximum utility is consistently achieved for different propagation scenarios inside the vehicular communication network.

Distributed Utility Optimization in Vehicular Communication Systems

TL;DR

Simulation results indicate that the proposed scheme reaches the objective SINRs that maximize utility and improve energy efficiency in the network with a low time cost.

Abstract

In this paper, we study the problem of utility maximization in the uplink of vehicle-to-infrastructure communication systems. The studied scenarios consider four practical aspects of mobile radio communication links: i) Interference between adjacent channels, ii) interference between roadside units along the way, iii) fast and slow channel fadings, and iv) Doppler shift effects. We present first the system model for the IEEE 802.11p standard, which considers a communication network between vehicles and roadside infrastructure. Next, we formulate the problem of utility maximization in the network, and propose a distributed optimization scheme. This distributed scheme is based on a two-loop feedback configuration, where an outer-loop establishes the optimal signal to interference-noise ratio (SINR) that maximizes the utility function per vehicle and defines a quality-of-service objective. Meanwhile, inner-control loops adjust the transmission power to achieve this optimal SINR reference in each vehicle node regardless of interference, time-varying channel profiles and network latency. The computation complexity of the distributed utility maximization scheme is analyzed for each feedback loop. Simulation results indicate that the proposed scheme reaches the objective SINRs that maximize utility and improve energy efficiency in the network with a low time cost. The results also show that the maximum utility is consistently achieved for different propagation scenarios inside the vehicular communication network.
Paper Structure (18 sections, 25 equations, 14 figures, 3 tables)

This paper contains 18 sections, 25 equations, 14 figures, 3 tables.

Table of Contents

  1. Introduction
  2. Motivation
  3. State of the Art
  4. Contributions
  5. System Model
  6. Interference Sources in IEEE 802.11p
  7. QoS Evaluation
  8. V2I Propagation Channel Model
  9. SINR Estimation
  10. Network Utility Optimization
  11. Utility Function
  12. Utility Optimization
  13. Computation Complexity
  14. Simulation Evaluation
  15. Scenario A
  16. ...and 3 more sections

Figures (14)

  • Figure 1: Structure of the studied vehicular communication network with RSUs and OBUs.
  • Figure 2: Spectral masks for 10 MHz channels in the IEEE 802.11p standard DSRC.
  • Figure 3: Proposed two-loop feedback structure for network utility maximization, where the outer-loop is implemented in a network central unit, and the inner-loops in the OBUs-RSUs.
  • Figure 4: Scenario A: Monte Carlo evaluation of the instantaneous network utility in \ref{['Uopt']}, with 100 closed-loop realizations of 500 samples total duration, and OBUs speed of 72 km/h (the OBUs approach and move away from the RSUs).
  • Figure 5: Scenario A: Monte Carlo evaluation of the instantaneous network utility in \ref{['Uopt']}, with 100 closed-loop realizations of 500 samples total duration, and OBUs speed of 90 km/h (the OBUs approach and move away from the RSUs).
  • ...and 9 more figures