Modeling of a QoS Matching and Optimization Function for Multimedia Services in the NGN

Abstract

Abstract. A key challenge for Next Generation Networks (NGN) is providing support for the negotiation and dynamic adaptation of Quality of Service (QoS) parameters. In this paper we propose a novel QoS Matching and Optimization Function (Q-MOF) to be included along the signaling path with the purpose of providing advanced service-level QoS matching and optimization logic for multimedia services being delivered to heterogeneous end users and access networks. The Q-MOF is introduced in the NGN architecture as a generic functionality, allowing for it to be reused by services requiring advanced QoS support. We illustrate Q-MOF applicability in a case study involving an audio/video streaming session between two users.

Evaluation of Pheromone Update in Min-Max Ant System Algorithm to Optimizing QoS for Multimedia Services in NGNs

“…The results of objective value and resource configuration of our algorithm updated step by step show in Table 3. The experimental results with the input data sets in [15] show that resource configurations of our algorithm is similar results solved by GLPK [15].…”

“…We implemented the prototype Audio/Video Call (AVC) service allow two end users to engage in an AVC in a laboratory IMS testbed [15]. The AVC service matching parameter and requirement with conversational audio and video, we assume the uplink direction from the call initiating user A to the terminating user B, the user capabilities and operator constraints is shown in Table 1.…”

“…Each media component may be configured by choosing from offered alternative operating parameters. We refer to the overall service configuration as the set of chosen operating parameters for all included media components [13,15]. The problem can be formulated as a multi-choice multi-dimension 0-1 knapsack problem (MMKP), for which we introduce the following notation: B downlink and B uplink are maximum available downlink and uplink bandwidth determined by user terminal capabilities and access network.…”

“…A different approach to formulating the optimization problem may be to use tools specified as part of the MPEG DIA standard, Usage Environment Description tools, Universal Constraints Description tool, and Adaptation QoS tools has presented by Mukherjee et al [14]. In [15], the authors have proposed the high-level concept of a QoS Matching and Optimization Function (Q-MOF) to be included along the E2E signaling path in the service control layer of the NGN architecture and heuristic algorithm for finding near optimal solutions.…”

Cross-layer QoE-driven admission control and resource allocation for adaptive multimedia services in LTE

“…In our previous work, we have proposed a QoS negotiation and adaptation framework for multimedia sessions (Skorin-Kapov et al, 2007;Skorin-Kapov and Matijasevic, 2009), which has supported the application-level signalling and end-to-end negotiation of a so-called Media Degradation Path (MDP) to specify a mapping between session parameters, resource requirements, and corresponding user experience quality levels. The MDP has been defined as an ordered collection of different feasible session configurations, where each configuration specifies service operating parameters (e.g., codec, video resolution), corresponding resource requirements of each involved media flow (e.g., required bandwidth), as well as an expected utility value.…”