A control theoretic approach to achieve proportional fairness in 802.11e EDCA WLANs

This paper considers proportional fairness amongst ACs in an EDCA WLAN for provision of distinct QoS requirements and priority parameters. A detailed theoretical analysis is provided to derive the optimal station attempt probability which leads to a proportional fair allocation of station throughputs. The desirable fairness can be achieved using a centralised adaptive control approach. This approach is based on multivariable statespace control theory and uses the Linear Quadratic Integral (LQI) controller to periodically update CWmin till the optimal fair point of operation. Performance evaluation demonstrates that the control approach has high accuracy performance and fast convergence speed for general network scenarios. To our knowledge this might be the first time that a closed-loop control system is designed for EDCA WLANs to achieve proportional fairness

Bandwidth-guaranteed fair scheduling with effective excess bandwidth allocation for wireless networks

Traffic scheduling is key to the provision of quality of service (QoS) differentiation and guarantees in wireless networks. Unlike its wireline counterpart, wireless communications pose special channel-specific problems such as time-varying link capacities and location-dependent errors. These problems make designing efficient and effective traffic scheduling algorithms for wireless networks very challenging. Although many wireless packet scheduling algorithms have been proposed in recent years, issues such as how to improve bandwidth efficiency and maintain goodput fairness with various link qualities for power-constrained mobile hosts remain unresolved. In this paper, we devise a simple wireless packet scheduling algorithm called bandwidth-guaranteed fair scheduling with effective excess bandwidth allocation (BGFS-EBA), which addresses these issues. Our studies reveal that BGFS-EBA effectively distributes excess bandwidth, strikes a balance between effort-fair and outcome-fair, and provides a delay bound for error-free flows and transmission effort guarantees for error-prone flows. © 2008 IEEE.published_or_final_versio

In-Network Congestion Control for Multirate Multicast

We present a novel control scheme that dynamically optimizes multirate multicast. By computing the differential backlog at every node, our scheme adaptively allocates transmission rates per session/user pair in order to maximize throughput. An important feature of the proposed scheme is that it does not require source cooperation or centralized calculations. This methodology leads to efficient and distributed algorithms that scale gracefully and can be embraced by low-cost wireless devices. Additionally, it is shown that maximization of sum utility is possible by the addition of a virtual queue at each destination node of the multicast groups. The virtual queue captures the desire of the individual user and helps in making the correct resource allocation to optimize total utility. Under the operation of the proposed schemes backlog sizes are deterministically bounded, which provides delay guarantees on delivered packets. To illustrate its practicality, we present a prototype implementation in the NITOS wireless testbed. The experimental results verify that the proposed schemes achieve maximum performance while maintaining low complexity.National Science Foundation (U.S.) (grant CNS-0915988)National Science Foundation (U.S.) (grant CNS-1116209)United States. Office of Naval Research (grant N00014-12-1-0064

Cross-Layer Optimal Rate Allocation for Heterogeneous Wireless Multicast

Heterogeneous multicast is an efficient communication scheme especially for multimedia applications running over multihop networks. The term heterogeneous refers to the phenomenon when multicast receivers in the same session require service at different rates commensurate with their capabilities. In this paper, we address the problem of resource allocation for a set of heterogeneous multicast sessions over multihop wireless networks. We propose an iterative algorithm that achieves the optimal rates for a set of heterogeneous multicast sessions such that the aggregate utility for all sessions is maximized. We present the formulation of the multicast resource allocation problem as a nonlinear optimization model and highlight the cross-layer framework that can solve this problem in a distributed ad hoc network environment with asynchronous computations. Our simulations show that the algorithm achieves optimal resource utilization, guarantees fairness among multicast sessions, provides flexibility in allocating rates over different parts of the multicast sessions, and adapts to changing conditions such as dynamic channel capacity and node mobility. Our results show that the proposed algorithm not only provides flexibility in allocating resources across multicast sessions, but also increases the aggregate system utility and improves the overall system throughput by almost 30% compared to homogeneous multicast

Scheduling for next generation WLANs: filling the gap between offered and observed data rates

In wireless networks, opportunistic scheduling is used to increase system throughput by exploiting multi-user diversity. Although recent advances have increased physical layer data rates supported in wireless local area networks (WLANs), actual throughput realized are significantly lower due to overhead. Accordingly, the frame aggregation concept is used in next generation WLANs to improve efficiency. However, with frame aggregation, traditional opportunistic schemes are no longer optimal. In this paper, we propose schedulers that take queue and channel conditions into account jointly, to maximize throughput observed at the users for next generation WLANs. We also extend this work to design two schedulers that perform block scheduling for maximizing network throughput over multiple transmission sequences. For these schedulers, which make decisions over long time durations, we model the system using queueing theory and determine users' temporal access proportions according to this model. Through detailed simulations, we show that all our proposed algorithms offer significant throughput improvement, better fairness, and much lower delay compared with traditional opportunistic schedulers, facilitating the practical use of the evolving standard for next generation wireless networks

Resource allocation in networks from a connection-level perspective (Asignación de recursos en redes desde la perspectiva de las conexiones)

En esta tesis, se analizan varios problemas de asignación recursos que surgen en el estudio de los sistemas de telecomunicaciones. En particular, nos centramos en las redes de datos, de los cuales el ejemplo más importante es la Internet global. En este tipo de redes, el recurso escaso que debe ser asignado es la cantidad de ancho de banda de cada conexión curso. Esta asignación realiza en tiempo real por los protocolos subyacentes, que técniamente se encuentran divididos en varios niveles o capas. Desde este punto de vista, la red puede ser pensada como un sistema de control a gran escala, donde cada entidad debe seguir un conjunto dado de leyes de control, a fin de encontrar una asignación adecuada de recursos. Desde el influyente trabajo de Kelly et. al., este problema se ha expresado en términos económicos, dando lugar a la teoría conocida como Network Utility Maximization (maximización de utilidad en redes). Este marco ha demostrado ser una herramienta valiosa para analizar los mecanismos existentes y diseño de protocolos nuevos que mejoran el comportamiento de la red. Proporciona además un vínculo crucial entre el tradicional análisis por capas de los protocolos de red y las técnicas de optimización convexa, dando lugar a lo que se denomina análisis multi-capa de las redes. En este trabajo nos centramos en el análisis de la red desde una perspectiva a nivel de conexiones. En particular, se estudia el desempeño de eficiencia y justicia en la escala de conexiones de varios modelos de asignación de recursos en la red. Este estudio se realiza en varios escenarios: tanto single-path como multi-path (redes con múltiples caminos) así como escenarios cableados e inalámbricos. Se analizan en detalle dos problemas importantes: por un lado, la asignación de los recursos realizada por los protocolos de control de congestión cuando se permiten varias conexiones por usuario. Se identifican algunos problemas del paradigma actual, y se propone un nuevo concepto de \emph{equidad centrada en el usuario}, desarrollando a su vez algoritmos descentralizados que se pueden aplicar en los extremos de la red, y que conducen al sistema a un global adecuado. El segundo problema importante analizado aquí es la asignación de los recursos realizada por los algoritmos de control de congestión cuando trabajan sobre una capa física que permite múltiples velocidades de transmisión como es el caso en las redes inalámbricas. Se demuestra que los algoritmos usuales conducen a ineficiencias importantes desde el punto de vista de las conexiones, y se proponen mecanismos para superar estas ineficiencias y mejorar la asignación de los recursos prestados por dichas redes. A lo largo de este trabajo, se aplican varias herramientas matemáticas, tales como la optimización convexa, la teoría de control y los procesos estocásticos. Por medio de estas herramientas, se construye un modelo del sistema, y se desarrollan leyes de control y algoritmos para lograr el objetivo de desempeño deseado. Como paso final, estos algoritmos fueron probados a través de simulaciones a nivel de paquetes de las redes involucradas, proporcionando la validación de la teoría y la evidencia de que pueden aplicarse en la práctica

Mobility: a double-edged sword for HSPA networks

This paper presents an empirical study on the performance of mobile High Speed Packet Access (HSPA, a 3.5G cellular standard) networks in Hong Kong via extensive field tests. Our study, from the viewpoint of end users, covers virtually all possible mobile scenarios in urban areas, including subways, trains, off-shore ferries and city buses. We have confirmed that mobility has largely negative impacts on the performance of HSPA networks, as fast-changing wireless environment causes serious service deterioration or even interruption. Meanwhile our field experiment results have shown unexpected new findings and thereby exposed new features of the mobile HSPA networks, which contradict commonly held views. We surprisingly find out that mobility can improve fairness of bandwidth sharing among users and traffic flows. Also the triggering and final results of handoffs in mobile HSPA networks are unpredictable and often inappropriate, thus calling for fast reacting fallover mechanisms. We have conducted in-depth research to furnish detailed analysis and explanations to what we have observed. We conclude that mobility is a double-edged sword for HSPA networks. To the best of our knowledge, this is the first public report on a large scale empirical study on the performance of commercial mobile HSPA networks