Multimedia Broadcast/Multicast Service (MBMS) and High-Speed Downlink Packet Access (HSDPA) are two key technologies that constitute a significant step towards the Mobile Broadband. MBMS was introduced by the third Ge...
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Multimedia Broadcast/Multicast Service (MBMS) and High-Speed Downlink Packet Access (HSDPA) are two key technologies that constitute a significant step towards the Mobile Broadband. MBMS was introduced by the third Generation Partnership Project (3GPP) in order to support broadcast and multicast communication over wireless networks and in particular over Universal Mobile Telecommunications System (UMTS). Concurrently, HSDPA aims to ensure the transmission of high peak data rates and increase system capacity. In this paper we evaluate the performance of MBMS multicast transmission over the premier transport channel used in HSDPA, named High Speed-Downlink Shared Channel (HS-DSCH). Due to the fact that downlink transmission power is the scarcest resource in UMTS networks, the evaluation is performed through an analytical dimensioning of the MBMS downlink transmission power. Furthermore, the impacts of power allocation on MBMS capacity are investigated.
The demand for wireless multimedia communications thrives in todaypsilas consumer and corporate market. The need to evolve multimedia applications and services is at a critical point given the proliferation and integr...
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The demand for wireless multimedia communications thrives in todaypsilas consumer and corporate market. The need to evolve multimedia applications and services is at a critical point given the proliferation and integration of wireless systems. multimedia broadcast multicast services (MBMS) was introduced in third generation partnership project (3GPP) Release 6 in order to more efficiently use network and radio resources for the transmission of multimedia data, both in the core network and most importantly in the air interface of UTRAN (UMTS terrestrial radio access network). However, several obstacles, regarding the high power requirements, should be overcome for the realization of MBMS. The fact that Node Bpsilas transmission power is a limited resource and must be shared among all MBMS users in a cell indicates the need for power control during MBMS transmissions. Several techniques, such as dynamic power setting and macro diversity combining, have been proposed in order to reduce the power requirements of delivering multicast traffic to MBMS users. This paper examines the efficiency of the utilization of these power saving techniques, by presenting simulation results that will reveal the amount of power that is saved.
In this paper, we propose a new scheme for on demand reservation of capacity in OBS networks, emulating one-way signaling protocols. The proposed framework relies on the combination of a two-way reservation protocol a...
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In this paper, we propose a new scheme for on demand reservation of capacity in OBS networks, emulating one-way signaling protocols. The proposed framework relies on the combination of a two-way reservation protocol and a burst assembly scheme with a burstification delay enforced to be the round-trip-time and which incorporates a Least Mean Square filter to predict burst length. Upon the arrival of the first packet in the burst queue, a control packet (setup message) is generated and transmitted to reserve resources, based on the prediction filter. In this way the reservation process starts/ends simultaneously with the burst assembly process. In this paper, we present the main features of the proposed scheme, evaluate its performance for both homogeneous and non-homogeneous traffic and we further propose an extension with aggressive over-provisioning of resources that can guarantee lossless operation even for extremely cases of bursty traffic.
This paper addresses the problem of burst assembly in OBS-GRID networks and particularly the TCP throughput maximization problem for large file sizes. For that purpose, a novel adaptive size-based approach is proposed...
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This paper addresses the problem of burst assembly in OBS-GRID networks and particularly the TCP throughput maximization problem for large file sizes. For that purpose, a novel adaptive size-based approach is proposed, following some probabilistic methods and considering the effect of the burstification process in the overall transport system. The scheme has been evaluated in a high capacity GRID network. It was found that the proposed scheme results in shorter file transfer times, a significant higher TCP throughout, thus yielding a positive impact at the grid mechanics. The performance of the scheme is compared to that of a timer-based algorithm.
We propose and evaluate fast reservation (FR) protocols for optical burst switched (OBS) networks. The proposed reservation schemes aim at reducing the end-to-end delay of a data burst, by sending the burst header pac...
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We propose and evaluate fast reservation (FR) protocols for optical burst switched (OBS) networks. The proposed reservation schemes aim at reducing the end-to-end delay of a data burst, by sending the burst header packet (BHP) in the core network before the burst assembly is completed at the ingress node. We use linear prediction filters to estimate the expected length of the burst and the time needed for the burstification process to complete. A BHP packet carrying these estimates is sent before burst completion, in order to reserve bandwidth at each intermediate node for the time interval the burst is expected to pass from that node. Reducing the total time needed for a packet to be transported over an OBS network is important, especially for real-time applications. Reserving bandwidth only for the time interval it is actual going to be used by a burst is important for network utilization efficiency. In the simulations conducted we evaluate the proposed extensions and prove their usefulness.
In this paper, the routing and wavelength assignment problem in all optical networks is considered. A solution to the RWA problem is proposed through a Genetic Algorithm (GA) based approach to search for the most suit...
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In this paper, the routing and wavelength assignment problem in all optical networks is considered. A solution to the RWA problem is proposed through a Genetic Algorithm (GA) based approach to search for the most suitable set of paths from many possible ones. We use GAs to solve this problem by introducing a new fitness function based on the mean value of occurrence of the common edges between the different genes of a single chromosome. In addition, we further improve performance and particularly execution times by considering the maximum quantity of edge disjoint paths (EDPs) to initialize the population with some indigo chromosomes. These EDPs are pre-computed and inserted in the GA-RWA problem. The proposed approach has been evaluated on the NSF network topology and compared with other similar schemes.
The spread of multimedia data has drastically differentiated the current landscape of Universal Mobile Telecommunication System (UMTS) networks, posing the need for further enhancements in its Radio Resource Managemen...
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The spread of multimedia data has drastically differentiated the current landscape of Universal Mobile Telecommunication System (UMTS) networks, posing the need for further enhancements in its Radio Resource Management (RRM) strategies. Introduced in 3rd Generation Partnership Project (3 GPP) Release 6, the Multimedia Broadcast/Multicast Services (MBMS) framework aims at the efficient usage of network and radio resources for the transmission of multimedia services. The main requirement during the provision of MBMS multicast services is to minimize the transmission power of UMTS base stations. To this direction, several mechanisms have been proposed that either allow a simultaneous deployment of Point-to-Point (PTP) and Point-to-Multipoint (PTM) transmissions, or a single transport channel deployment (PTP or PTM) in a cell at any given time. Main objective of this paper is to study these mechanisms, compare them in terms of power consumption, underline the advantages that they may offer; and finally to propose enhancements that will ensure the lowest possible power consumption during MBMS transmissions.
We design and implement an algorithm for solving the static RWA problem based on an LP relaxation formulation. This formulation is capable of providing integer optimal solutions despite the absence of integrality cons...
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We design and implement an algorithm for solving the static RWA problem based on an LP relaxation formulation. This formulation is capable of providing integer optimal solutions despite the absence of integrality constraints for a large subset of RWA input instances. In static RWA there is no a-priori knowledge of the channels usage and the interference among them cannot be avoided once the solution has been found. To take into consideration adjacent channel interference, we extend our formulation and model the interference by a set of analytical formulas as additional constraints on RWA.
We design and implement various algorithms for solving the static RWA problem with the objective of minimizing the maximum number of requested wavelengths based on LP relaxation formulations. We present a link formula...
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We design and implement various algorithms for solving the static RWA problem with the objective of minimizing the maximum number of requested wavelengths based on LP relaxation formulations. We present a link formulation, a path formulation and a heuristic that breaks the problem in the two constituent subproblems and solves them individually and sequentially. The flow cost functions that are used in these formulations result in providing integer optimal solutions despite the absence of integrality constraints for a large subset of RWA input instances, while also minimizing the total number of used wavelengths. We present a random perturbation technique that is shown to increase the number of instances for which we find integer solutions, and we also present appropriate iterative fixing and rounding methods to be used when the algorithms do not yield integer solutions. We comment on the number of variables and constraints these formulations require and perform extensive simulations to compare their performance to that of a typical min-max congestion formulation.
We propose QoS-aware scheduling algorithms for grid networks that are capable of optimally or near-optimally assigning computation and communication tasks to grid resources. The routing and scheduling algorithms to be...
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We propose QoS-aware scheduling algorithms for grid networks that are capable of optimally or near-optimally assigning computation and communication tasks to grid resources. The routing and scheduling algorithms to be presented take as input the resource utilization profiles and the task characteristics and QoS requirements, and co-allocate resources while accounting for the dependencies between communication and computation tasks.
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