Abstract:Networks need to accommodate diverse applications with different Quality-of-Service (QoS) requirements. New ideas at the physical layer are being developed for this purpose, such as diversity embedded coding, which is a technique that combines high rates with high reliability. We address the problem of how to fully utilize different rate-reliability characteristics at the physical layer to support different types of traffic over a network and to jointly maximize their utilities.We set up a new framework based … Show more
“…Concerning the unreliable control channels, we use retransmission mechanism to ensure that the information exchange between each node is available. In addition, we employ the mechanism introduced in [27] and [28] to implement reliable control channel and node synchronization, respectively. To simulate the video applications, two HD (High-Definition) sequences (City and Tennis) are used to represent video with dramatically different levels of motion activities.…”
Abstract-An important issue of supporting multi-user video streaming over wireless networks is how to optimize the systematic scheduling by intelligently utilizing the available network resources while, at the same time, to meet each video's Quality of Service (QoS) requirement. In this work, we study the problem of video streaming over multi-channel multi-radio multihop wireless networks, and develop fully distributed scheduling schemes with the goals of minimizing the video distortion and achieving certain fairness. We first construct a general distortion model according to the network's transmission mechanism, as well as the rate distortion characteristics of the video. Then, we formulate the scheduling as a convex optimization problem, and propose a distributed solution by jointly considering channel assignment, rate allocation, and routing. Specifically, each stream strikes a balance between the selfish motivation of minimizing video distortion and the global performance of minimizing network congestions. Furthermore, we extend the proposed scheduling scheme by addressing the fairness problem. Unlike prior works that target at users' bandwidth or demand fairness, we propose a media-aware distortion-fairness strategy which is aware of the characteristics of video frames and ensures maxmin distortion-fairness sharing among multiple video streams. We provide extensive simulation results which demonstrate the effectiveness of our proposed schemes.
“…Concerning the unreliable control channels, we use retransmission mechanism to ensure that the information exchange between each node is available. In addition, we employ the mechanism introduced in [27] and [28] to implement reliable control channel and node synchronization, respectively. To simulate the video applications, two HD (High-Definition) sequences (City and Tennis) are used to represent video with dramatically different levels of motion activities.…”
Abstract-An important issue of supporting multi-user video streaming over wireless networks is how to optimize the systematic scheduling by intelligently utilizing the available network resources while, at the same time, to meet each video's Quality of Service (QoS) requirement. In this work, we study the problem of video streaming over multi-channel multi-radio multihop wireless networks, and develop fully distributed scheduling schemes with the goals of minimizing the video distortion and achieving certain fairness. We first construct a general distortion model according to the network's transmission mechanism, as well as the rate distortion characteristics of the video. Then, we formulate the scheduling as a convex optimization problem, and propose a distributed solution by jointly considering channel assignment, rate allocation, and routing. Specifically, each stream strikes a balance between the selfish motivation of minimizing video distortion and the global performance of minimizing network congestions. Furthermore, we extend the proposed scheduling scheme by addressing the fairness problem. Unlike prior works that target at users' bandwidth or demand fairness, we propose a media-aware distortion-fairness strategy which is aware of the characteristics of video frames and ensures maxmin distortion-fairness sharing among multiple video streams. We provide extensive simulation results which demonstrate the effectiveness of our proposed schemes.
“…One thread of the extensions of the basic NUM framework in [6] is congestion control for delay sensitive traffic, e.g., [21,20,[9][10][11] (see also the references therein), although this topic is underexplored.…”
Section: Related Workmentioning
confidence: 99%
“…A more general utility function is considered in [10,11], which is a function of rate, reliability and delay, where the delay includes queueing and transmission delay. In [10,11], the optimal rate-reliability-delay tradeoff is studied for a network with composite links, where each link consists of several sub-links with different rate and reliability.…”
Section: Related Workmentioning
confidence: 99%
“…In [10,11], the optimal rate-reliability-delay tradeoff is studied for a network with composite links, where each link consists of several sub-links with different rate and reliability.…”
Section: Related Workmentioning
confidence: 99%
“…Unlike [10,11], in this paper, instead of examining the rate-reliability-delay tradeoff, we focus on the equilibrium and dynamic properties of the resulting dynamical system for utilities that are functions of both the transmission rate the end-to-end average delay, as in (3). Unlike [10,11] which studies the network with composite links, we focus on the single sub-link case, i.e., problem (1) with objective (3), which is the case that each link consists of only one sub-link with one pair of rate and reliability.…”
a b s t r a c tWe consider congestion control in a network with delay sensitive/insensitive traffic, modelled by adding explicit delay terms to the utility function measuring user's happiness on the Quality of Service (QoS). A new Network Utility Maximization (NUM) problem is formulated and solved in a decentralized way via appropriate algorithms implemented at the users (primal) and/or links (dual). For the dual algorithm, delay-independent and delay-dependent stability conditions are derived when propagation delays are taken into account. A system with voice and data traffic is considered as example and the properties of the congestion control algorithm are assessed.
SUMMARYIn wireless networks, real-time applications have strict QoS requirements for packet delay, packet loss, and reliability. However, most existing work has not considered these QoS metrics when allocating wireless resources so that the QoS requirements of real-time applications may not be satisfied. To overcome this shortcoming, a rate and power allocation framework incorporating these QoS metrics is first proposed for slow-fading systems. Second, two distributed algorithms are developed to solve this optimization framework although it is nonconvex and nonseparable. Third, an improved framework is proposed to deal with the rate and power allocation with QoS requirements for fast-fading systems. It is shown that the fast-fading state of the network does not need to be considered in this improved framework, and it can be solved using algorithms that are similar to those for the framework of slowfading systems. In the end, simulations show that our algorithms converge closely to the globally optimal solution. By comparison with an existing model, simulations also verify the validity of our frameworks on dealing with the rate and power allocation with QoS requirements.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.