Resource allocation in D2D enabled vehicular communications: A robust stackelberg game approach based on price-penalty mechanism

Z Liu, J Su, Y Xie, K Ma, Y Yang… - … on Vehicular …, 2021 - ieeexplore.ieee.org
… nonuniform price bargaining algorithm is proposed for the D2Dbased vehicular networks with
… The interference management is effectively realized by the allocation of power and price, …

Energy-spectral efficiency optimization in vehicular communications: Joint clustering and pricing-based robust power control approach

Y Xie, Z Liu, KY Chan, X Guan - … Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
… Hence, a pricing-based approach [25] is adopted for this SE-EE tradeoff problem, in which
a network price is introduced to the total power consumption as the penalty for the achievable …

Stochastic optimization for pricing-aware multimedia services in 5G vehicular networks

T Cao, C Xu, Z Jiang, H Xiao, L Zhong… - … Communications …, 2019 - ieeexplore.ieee.org
price factor for vehicle i at BS j. Since the average service charge cannot exceed the fees
given by vehicular users, the pricing-… Then, we define the Drift-Plus-Penalty function by joining …

Computation offloading and resource allocation in vehicular networks based on dual-side cost minimization

J Du, FR Yu, X Chu, J Feng, G Lu - … Transactions on Vehicular …, 2018 - ieeexplore.ieee.org
… s through vehicular-to-roadside (V2R) communications, the … mobile users, and service pricing
were optimized for the service … MEC-enabled vehicular networks have also attracted much …

Modified optimum pricing algorithm with delayed CSI feedback for spectrum sharing in D2D based vehicular networks

L Thulasimani - Proceedings of the First International Conference on …, 2021 - eudl.eu
pricing-based algorithm with delayed channel state information feedback for D2D (Device-to-
Device) based vehicular communication … called Price which will be introduced as a penalty

Federated multi-agent deep reinforcement learning for resource allocation of vehicle-to-vehicle communications

X Li, L Lu, W Ni, A Jamalipour… - … on Vehicular …, 2022 - ieeexplore.ieee.org
… selection and power control for V2V communication. The approach takes advantage of both
… reliability and delay requirements of V2V communication while maximizing the transmit rates …

DORA: Dynamic optimal random access for vehicle-to-roadside communications

MH Cheung, F Hou, VWS Wong… - … in Communications, 2012 - ieeexplore.ieee.org
… The optimal pricing and bandwidth reservation of a service … case of a single AP with random
vehicular traffic, we propose a … , we define a self-incurred penalty of the vehicle for not being …

Optimized age of information tail for ultra-reliable low-latency communications in vehicular networks

MK Abdel-Aziz, S Samarakoon, CF Liu… - … on Communications, 2019 - ieeexplore.ieee.org
… AoI to improve URLLC in a vehicular communication network by characterizing and con…
we use the conditional Lyapunov driftplus-penalty for time slot t, which can be expressed as …

Distributed V2V computation offloading based on dynamic pricing using deep reinforcement learning

J Shi, J Du, J Wang, J Yuan - … IEEE Wireless Communications …, 2020 - ieeexplore.ieee.org
… tasks by taking advantage of vehicular idle computing resources. Due to the high dynamic
vehicular environment and the variation of available vehicular computing resources, it is a …

A pre-allocation design for cost minimization and delay constraint in vehicular offloading system

Z Chen, B Yang, C Chen, X Guan - arXiv preprint arXiv:1911.09316, 2019 - arxiv.org
… Thus, in this vehicular edge computing scenario, we aim at devising a bidirectional pricing
and energy management scheme for both vehicle users and MEC server. Meanwhile, we …