Delay-Based Network Utility Maximization
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Year of Project2013
Delay-Based Network Utility Maximization IEEE Projects 2013 | Final year projects | BE Projects | Abstract: It is well known that max-weight policies based on a queue backlog index can be used to stabilize stochastic networks, and that similar stability results hold if a delay index is used. Using Lyapunov optimization, we extend this analysis to design a utility maximizing algorithm that uses explicit delay information from the head-of-line packet at each user. The resulting policy is shown to ensure deterministic worst-case delay guarantees and to yield a throughput utility that differs from the optimally fair value by an amount that is inversely proportional to the delay guarantee. Our results hold for a general class of 1-hop networks, including packet switches and multiuser wireless systems with time-varying reliability.
Delay-Based Network Utility Maximization. THIS paper considers the problem of scheduling for maximum throughput utility in a network with random packet arrivals and time-varying channel reliability.We focus on 1-hop networks where each packet requires transmission over only one link. At every slot, the network controller assesses the condition of its channels and selects a set of links for transmission. The success of each transmission depends on the collection of
links selected and their corresponding reliabilities. The goal is to maximize a concave and non decreasing function of the time-average throughput on each link. Such a function represents a utility function that acts as ameasure of fairness for the achieved throughput vector.
Delay-Based Network Utility Maximization. In the case when traffic is inside the network capacity region, the utility-optimal throughput vector is simply the vector of narrival rates, and the problem reduces to a network stability problem. In this case, it is well known that the network can be stabilized by max-weight policies that schedule links every slot to maximize a weighted sum of transmission rates, where the weights are queue backlogs. This is typically shown via a Lyapunov drift argument. This technique for stable control of a queueing network was first used for link and server scheduling in and and has since become a powerful method to treat stability in different contexts, including switches and computer networks, wireless systems and ad hoc mobile networks with rate and power allocation, and systems with probabilistic channel errors.
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