QoS Considerations for HSDPA and Performance Results for Different Services

Pedersen, Klaus I.; Mogensen, Preben; Kolding, Troels

doi:10.1109/vtcf.2006.524

Cited by 11 publications

(6 citation statements)

References 16 publications

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“…given that κ is a constant, and L k a is the tour length of a th ant which corresponds to the total utility augment subject to the rate control constraint 1) in (12) ΔL k,a n,m = ω m R k n,m , R k n,m T s ≤ Q m , m∈M V ; 0, otherwise;…”

Section: A Aco Based Joint User Selectionmentioning

confidence: 99%

Joint Scheduling for Multi-Service in Coordinated Multi-Point OFDMA Networks

Huang

Svensson

2012

2012 IEEE 75th Vehicular Technology Conference (VTC Spring)

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In this paper, the issues upon user scheduling in the downlink packet transmission for multiple services are addressed for coordinated multi-point (CoMP) OFDMA networks. We consider mixed traffic with voice over IP (VOIP) and best effort (BE) services. In order to improve cell-edge performance and guarantee diverse quality of service (QoS), a utility-based joint scheduling algorithm is proposed, which consists of two steps: ant colony optimization (ACO) based joint user selection and greedy subchannel assignment. We compare the proposed algorithm with the opimal algorithm and the greedy user selection (GUS) based scheme. Via simulation results, we show that the performance of our proposed algorithm well approaches to that of the optimal solution. It is also observed that 95% of BE users are satsified with average cell-edge data rate greater than 200kbps by using either of the two algorithms. Whereas, our proposed algorithm ensures that more than 95% of VoIP users are satisfied with packet drop ratio less than 2%, compared to 78% by the GUS based algorithm.

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Section: A Aco Based Joint User Selectionmentioning

confidence: 99%

Joint Scheduling for Multi-Service in Coordinated Multi-Point OFDMA Networks

Huang

Svensson

2012

2012 IEEE 75th Vehicular Technology Conference (VTC Spring)

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“…The main changes in UMTS (Release 99) to introduce HSDPA (Release 5), have been made to the Node B entity [25]. In Release 99 UMTS, Node B performs air interface processing which includes channel coding and interleaving, rate adaptation, spreading etc., and some basic Radio Resource Management operations such as inner loop power control.…”

Section: General Overviewmentioning

confidence: 99%

“…15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 time (sec) End-to-end TCP Throughput (bps) . 13 End-to-end NRT throughput at multimedia test UE with Complete Buffer Sharing for 1, 5, 10, 20 and 30 users utilizing the HSDPA shared channel End-to-end NRT throughput at multimedia test UE with (drop-tail) TSP buffer management for 115 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 time (sec) End-to-end TCP Throughput (bps)…”

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confidence: 99%

Novel Radio Link Buffer Management Schemes for End-User Multi-class Traffic in High Speed Packet Access Networks

Yerima

Al‐Begain

2010

Wireless Pers Commun

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The requirement to provide multimedia services with QoS support in mobile networks has led to standardization and deployment of high speed data access technologies such as the High Speed Downlink Packet Access (HSDPA) system. HSDPA improves downlink packet data and multimedia services support in WCDMA-based cellular networks. As is the trend in emerging wireless access technologies, HSDPA supports end-user multi-class sessions comprising parallel flows with diverse Quality of Service (QoS) requirements, such as real-time (RT) voice or video streaming concurrent with non real-time (NRT) data service being transmitted to the same user, with differentiated queuing at the radio link interface. Hence, in this paper we present and evaluate novel radio link buffer management schemes for QoS control of multimedia traffic comprising concurrent RT and NRT flows in the same HSDPA end-user session. The new buffer management schemes-Enhanced Time Space Priority (E-TSP) and Dynamic Time Space Priority (D-TSP)-are designed to improve radio link and network resource utilization as well as optimize end-to-end QoS performance of both RT and NRT flows in the end-user session. Both schemes are based on a Time-Space Priority (TSP) queuing system, which provides joint delay and loss differentiation between the flows by queuing (partially) loss tolerant RT flow packets for higher transmission priority but with restricted access to the buffer space, whilst allowing unlimited access to the buffer space for delay-tolerant NRT flow but with queuing for lower transmission priority. Experiments by means of extensive system-level HSDPA simulations demonstrates that with the proposed TSP-based radio link buffer management schemes, significant end-to-end QoS performance gains accrue to end-user traffic with simultaneous RT and NRT flows, in addition to improved resource utilization in the radio access network.

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“…These include Minimum Guaranteed Bit Rate (Min GBR) scheduler [14]- [18]- [19] that is developed in next section, delay-aware scheduler [4]- [13]- [10], which increases the scheduling priority when the delay reaches critical thresholds and Weighted Proportional Fair (WPF) scheduler [5]- [20], which adds to the PF scheduler a QoS differentiation factor to establish a priority hierarchy between different service classes, etc.…”

Section: A Related Workmentioning

confidence: 99%

Rate guarantees for multicast scheduling in high speed cellular networks

Heni

Lagrange

2009

2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications

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This paper targets multicast packet scheduling over cellular networks like High Speed Downlink Packet Access (HSDPA). The salient benefit of multicast is to avoid clogging up the air interface with redundant data transmissions. When allocating resources to users of a system, it should be aimed at fulfilling QoS requirements instead of only providing fairness or maximizing the system throughput. This paper addresses QoS-based scheduling for multicast video streaming for which minimum bitrate requirements are particularly stringent. Hence, we adapt Minimum Guaranteed Bit Rate (Min GBR) scheduler by Hosein (2002) to multicast. In this context, we introduce different versions, namely the cluster-size agnostic and the clustersize aware. Solutions are tested with homogeneous clustering and mixed clustering. These proposals offer different trade-offs between QoS guarantees and the overall diversity gain.

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QoS Considerations for HSDPA and Performance Results for Different Services

Cited by 11 publications

References 16 publications

Joint Scheduling for Multi-Service in Coordinated Multi-Point OFDMA Networks

Joint Scheduling for Multi-Service in Coordinated Multi-Point OFDMA Networks

Novel Radio Link Buffer Management Schemes for End-User Multi-class Traffic in High Speed Packet Access Networks

Rate guarantees for multicast scheduling in high speed cellular networks

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