The Impact of Stochastic Noisy Feedback on Distributed Network Utility Maximization

2007 ◽  
Author(s):  
J. Zhang ◽  
D. Zheng ◽  
M. Chiang
Keyword(s):  
Utility Maximization ◽  
Network Utility Maximization ◽  
Distributed Network ◽  
Network Utility ◽  
The Impact

scholarly journals Beacon Transmission Rate Allocation Optimization under Synchronized P-Persistent Repetition MAC Protocol for Platooning

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Lin Hu ◽  
Yindong Xiao ◽  
Zhijian Dai
Keyword(s):  
Traffic Safety ◽  
Utility Maximization ◽  
Transmission Rate ◽  
Mac Protocol ◽  
Rate Allocation ◽  
Driving Safety ◽  
Intelligent Transport System ◽  
Network Utility Maximization ◽  
Network Utility ◽  
The Impact

Platooning, which is enabled by vehicle-to-vehicle (V2V) communication, is one of the most potential frameworks in the intelligent transport system (ITS) to enhance driving safety and improve traffic capacity. In a platoon, vehicles interact with each other by broadcasting beacons via Dedicated Short Range Communication (DSRC). In this work, we explore the impact of beacon transmission rate allocation on the network utility which involves not only network performance but also traffic safety and efficiency for the vehicular ad hoc network (VANET) composing of a single platoon. An optimization problem aiming at searching for an optimal beacon transmission rate allocation for platoon management is developed based on a network utility maximization framework. Particularly, adopting a synchronized P-persistent repetition (SPR) medium access control (MAC) protocol, an optimal beacon transmission rate allocation to achieve the network utility maximization, is obtained for a platoon at a certain cruise velocity. In the simulation, the correctness of the proposed approach is validated, and its advantages over the benchmark are demonstrated by comparisons.

The Convergence Rate on Distributed Network Utility Maximization in Wireless Mesh Networks

2013 ◽  
Vol 284-287 ◽  
pp. 2826-2829
Author(s):  
Yi Chen ◽  
Ge Gao ◽  
Ming Liu ◽  
Sai Wang
Keyword(s):  
Wireless Mesh Networks ◽  
Utility Maximization ◽  
Mesh Networks ◽  
Network Utility Maximization ◽  
Distributed Network ◽  
Control Delay ◽  
Message Delay ◽  
Wireless Mesh ◽  
Network Utility ◽  
Major Factors

One of the major factors that affects the distributed network utility maximization(NUM) is the exchange message delay which leads to oscillations due to imperfect response to time-variant channel. In this paper, a novel technique is presented to solve the reverse impact control delay in distributed NUM of wireless mesh networks. Simulation results illustrate better performance.

scholarly journals Gaussian Belief Propagation for Solving Network Utility Maximization with Delivery Contracts

Entropy ◽  
2019 ◽  
Vol 21 (7) ◽  
pp. 708
Author(s):  
Shengbin Liao ◽  
Jianyong Sun
Keyword(s):  
Utility Maximization ◽  
Belief Propagation ◽  
Classical Model ◽  
Linear Equations ◽  
Network Dynamics ◽  
Equivalent Model ◽  
Network Utility Maximization ◽  
Dual Decomposition ◽  
Network Utility ◽  
Belief Propagation Algorithm

Classical network utility maximization (NUM) models fail to capture network dynamics, which are of increasing importance for modeling network behaviors. In this paper, we consider the NUM with delivery contracts, which are constraints to the classical model to describe network dynamics. This paper investigates a method to distributively solve the given problem. We first transform the problem into an equivalent model of linear equations by dual decomposition theory, and then use Gaussian belief propagation algorithm to solve the equivalent issue distributively. The proposed algorithm has faster convergence speed than the existing first-order methods and distributed Newton method. Experimental results have demonstrated the effectiveness of our proposed approach.

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