Multicast vs Multiple Unicast Scheduling in High-Speed Cellular Networks

Heni, Neila El; Lagrange, Xavier

doi:10.1109/vetecs.2008.542

Cited by 13 publications

(12 citation statements)

References 8 publications

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“…More precisely, it considers a cluster for UEs with low average SNRs and a second one for "good" UEs. However, we have shown in previous studies [11]- [7] that grouping users having a bad channel quality cuts down the system throughput. In this framework, we introduced a new clustering algorithm, namely mixed clustering.…”

Section: Clustering Strategymentioning

confidence: 70%

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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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Section: Clustering Strategymentioning

confidence: 70%

“…MAC-hs layer is implemented with HSDPA fast scheduling and Hybrid-ARQ (HARQ). The radio parameters are chosen like in [7]- [11]. Opnet radio pipeline is based on the point to multi-point transmission mode.…”

Section: Performance Evaluation Of Min Gbr Versions With Differentmentioning

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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“…We have compared these schemes in [16]; however, we take back the obtained results to justify our new clustering strategy. Let γ be the common average SNR value for all users.…”

Section: Serving Equivalent Usersmentioning

confidence: 99%

“…In a previous work [16], we compared these strategies for the particular case of equivalent users, i.e., users with the same average SNR. In this study, we consider a mixed clustering strategy in a more general case where users are anywhere in the cell.…”

Section: User Clusteringmentioning

confidence: 99%

Analytical evaluation of multicast packet delivery and user-clustering schemes in high-speed cellular networks

Heni

Lagrange

2009

Ann. Telecommun.

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Transmission on data-oriented radio interfaces of cellular networks has been primarily designed for unicast applications. Nevertheless, unicast may not optimize the resource usage when the same content has to be transmitted to several users in the same cell. In this context, multicast seems to be an efficient means to convey data. In this paper, we develop an analytical model that allows the computation of the mean bitrate for both multicast and multiple-unicast transmission schemes. Furthermore, we propose a multicast transmission scheme called the equal-bitrate (EB) algorithm that allocates bandwidth to mobiles according to their instantaneous channel quality. We compare it to adaptations of the well-known max-signal-to-noise ratio and round robin to multicast. We propose to group users into clusters. The clustering method combines multicast and unicast transmission schemes according to the user's average channel conditions. We use the analytical model to evaluate the proposed solutions. We compare the resulting performance against pure multicast and multiple-unicast approaches. We show that the EB algorithm offers a good trade-off between throughput and fairness. Also, we show that mixed clustering achieves good performance compared to conventional clustering methods.

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“…The most conservative rate selection rule is to select the lowest rate in each RU such that the block error probability (BLEP) of all UEs in all RUs is below a given limit. With increasing UE group size the probability that any UE has a particularly bad channel increases and therefore the throughput decreases, under certain conditions rendering the multicast throughput even smaller than the average throughput achievable by unicast transmission to each UE [5], exploiting multi-user diversity.…”

Section: Introductionmentioning

confidence: 99%

Max-Min Throughput-Optimal Multicast Link Adaptation for Non-Identically Distributed Link Qualities

Huschke

2010

2010 IEEE 72nd Vehicular Technology Conference - Fall

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We consider multicasting the same data from one base station (BS) to several user equipments (UE) over a radio interface. Transmission is slotted into transmit resource units (RU). The qualities of the transmission channels from the BS to the UEs differ between RUs and between UEs. The transmit rate can be chosen by the BS independently in each RU based on the per UE channel qualities, which are assumed to be known by the BS. For each UE we calculate the throughput as the mean information received per RU over all RUs within a scheduling unit. Here, the multicast throughput is defined as the minimum UE throughput. We present a scheme to optimize the rate selections for all RUs such that the minimum UE throughput is maximized, even in the general case that the channel qualities of UEs are non-identically distributed. The achievable gains are evaluated using radio network simulations with realistic channel models.

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Multicast vs Multiple Unicast Scheduling in High-Speed Cellular Networks

Cited by 13 publications

References 8 publications

Rate guarantees for multicast scheduling in high speed cellular networks

Rate guarantees for multicast scheduling in high speed cellular networks

Analytical evaluation of multicast packet delivery and user-clustering schemes in high-speed cellular networks

Max-Min Throughput-Optimal Multicast Link Adaptation for Non-Identically Distributed Link Qualities

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