Mixed Traffic Types Research Articles

Resource Allocation in NOMA Systems for Centralized and Distributed Antennas With Mixed Traffic Using Matching Theory

In this paper, we study the traffic-aware resource allocation problem for a system with mixed traffic types. The considered framework encompasses real-time (RT) users having strict QoS requirements (in terms of amount of data and latency), and best-effort (BE) users for which the system tries to strike a balance between throughput and fairness. The resource allocation problem is studied in different contexts: orthogonal and non-orthogonal multiple access (OMA and NOMA respectively) in either centralized or distributed antenna systems (CAS and DAS respectively). Following the formulation of the resource optimization problem, we propose a low complexity suboptimal solution based on matching theory for each system context. We also propose an iterative approach to determine the number of subbands per antenna for the DAS contexts. The proposed techniques aim at guaranteeing the requirements of RT users while maximizing the utility function of BE users. Simulation results show that the proposed allocation method based on matching theory greatly outperforms a previously proposed greedy approach, especially in terms of RT users satisfaction.

Influence of Self-Similar Traffic Type on Performance of QoS Routing Algorithms

Abstract Providing a Quality of Services (QoS) into current telecommunication networks based on packet technology is a big challenge nowadays. Network operators have to support a number of new services like voice or video which generate new type of traffic. This traffic serviced with QoS in consequence requires access to appropriate network resources. Additionally, new traffic type is mixed with older one, like best-effort. Analysis of these new and mixed traffic types shows that this traffic is self-similar. Network mechanisms used for delivery of quality of services may depend on traffic type especially from the performance point of view. This paper presents a feasibility study done into the effect of traffic type influence on performance of routing algorithm while the routing algorithm is treated as one of the mechanisms to support QoS in the network.

An Accurate Performance Approximation for Beyond 3G Wireless Broadband Systems With QoS

Beyond third-generation (3G) wireless systems will support real-time (inelastic) and nonreal-time (elastic) traffic over a common packet-switched radio channel using quality-of-service (QoS) mechanisms to differentiate the traffic. A key challenge in accurately modeling user and system performances is to be able to simultaneously account for the impacts of mixed traffic types, QoS mechanisms, and varying radio channels. This paper presents a novel way of extending and combining a number of techniques into a single approximate analytic methodology for providing fast and accurate performance analysis of multiple inelastic- and elastic-traffic classes, which is subject to preemptive priority for the inelastic traffic. The methodology is compared with the simulation for a range of guaranteed bit-rate requirements for the inelastic traffic and overall system traffic loads, with the results showing excellent agreement between the model and simulation.

Coherent detection passive optical access network enabling converged delivery of broadcast and dedicated broadband services

We propose a passive optical network architecture based on coherent detection for converged delivery of broadcast services from a dedicated remote broadcast server and user-specific services from a local central office. We experimentally demonstrate this architecture with mixed traffic types, wavelength division multiplexed, unicast channels composed of four radio-over-fiber channels operating at 5 GHz carrier frequency with 250 Mbaud phase shift keying modulation and four 10 Gb/s baseband amplitude shift keying channels; while the broadcast channels were four 10 Gbaud DQPSK channels. The broadcast channels were transmitted over 78 km of single mode fiber to a central office where they were multiplexed with the unicast channels for further fiber transmission over 34-km to reach the access network. Successful detection of all channels is demonstrated.

Modeling random early detection in a differentiated services network

An analytical framework for modeling a network of random early detection (RED) queues with mixed traffic types (e.g. TCP and UDP) is developed. Expressions for the steady-state goodput for each flow and the average queuing delay at each queue are derived. The framework is extended to include a class of RED queues that provides differentiated services for flows with multiple classes. Finally, the analysis is validated against ns simulations for a variety of RED network configurations where it is shown that the analytical results match with those of the simulations within a mean error of 5%. Several new analytical results are obtained; TCP throughput formula for a RED queue; TCP timeout formula for a RED queue and the fairness index for RED and tail drop.

Analysis of a contention resolution multiple-access algorithm for handling mixed traffic on wireless networks

Existing wireless standards, like DECT and GSM, are based on TDMA. Packet multiple-access algorithms perform statistical multiplexing, leading to greater efficiency than basic TDMA which assigns a fixed amount of channel resources to each user. Moreover, these methods permit one to handle in a more flexible way different kinds of information. Most of the proposed packet access methods, applied to radio networks, are based on slotted ALOHA algorithms. We propose a methodology for applying packet contention resolution multiple-access techniques to wireless networks. The proposed techniques are able to handle the access of mixed traffic types. We define and analyze a multiple-access algorithm for handling the access of a mixed set of users, including a group of speech users and a population of users that generate a random traffic approximated by a stream of Poisson.