HARQ Aware Frequency Domain Packet Scheduler with Different Degrees of Fairness for the UTRAN Long Term Evolution

Pokhariyal, A.; Pedersen, Klaus I.; Monghal, G.; Kovács, István Z.; Rosa, Claudio; Kolding, Troels; Mogensen, Preben

doi:10.1109/vetecs.2007.567

Cited by 104 publications

(63 citation statements)

References 4 publications

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“…As in [29], here it is also assumed that the size of the user's payload is equal to 2 Mbits. The remaining parameters are included in Table 1.…”

Section: Experimental Set-upmentioning

confidence: 99%

“…This article studies the influence of the traffic model on the performance of packet scheduling algorithms in OFDMA systems. In particular, we concentrate on utility-based scheduling [17,26] for two reasons: first, it has been reported that it provides an effective trade-off among spectral efficiency and fairness in wireless networks [14,27]; and second, proportional fairness scheduling [28], which is a particular case of utility-based scheduling [26], has widely been adopted in OFDMA systems [24,29], and it is the basis for some QoS scheduling algorithms [16,30].…”

Section: Introductionmentioning

confidence: 99%

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Traffic models impact on OFDMA scheduling design

Ameigeiras

Wang

Navarro-Ortiz

et al. 2012

J Wireless Com Network

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This article studies the impact on the design of scheduling algorithms for Orthogonal Frequency Division Multiple Access (OFDMA) systems of two traffic models described in the evaluation methodology proposals from standardization bodies: the full buffer and the finite buffer traffic models. The analysis concentrates on utility-based scheduling with an α-fair utility function for Non-Real Time (NRT) services. The results show that a gradient scheduling algorithm is able to maximize the aggregate utility over all the users when the less realistic full buffer model is adopted; but not when the finite buffer model is applied. The results also show that with the full buffer model a gradient scheduler exhibits a trade-off between average user throughput and the user throughput at 5% outage, but it does not when the more realistic finite buffer is used. Therefore, it is concluded that designs of scheduling algorithms for NRT services for OFDMA systems carried out under the full buffer model assumption may fail to provide the desired performance benefits in realistic scenarios. Based on the results presented, a recommendation on scheduling design is provided.

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“…As in [29], here it is also assumed that the size of the user's payload is equal to 2 Mbits. The remaining parameters are included in Table 1.…”

Section: Experimental Set-upmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Traffic models impact on OFDMA scheduling design

Ameigeiras

Wang

Navarro-Ortiz

et al. 2012

J Wireless Com Network

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“…The scheduler is divided in two parts as presented in [32]. First a time domain (TD) scheduler followed by a frequency domain (FD) one.…”

Section: Sytem Modelmentioning

confidence: 99%

MPR-Aware Scheduler for Carrier Aggregation Transmissions in LTE Uplink

Lema

García-Lozano

Ruíz

2015

Wireless Pers Commun

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Unlike previous Long Term Evolution (LTE) releases, LTE -Advanced (LTE-A) allows the use of non-contiguous resource allocation in the uplink (UL). This feature leads to increase the spectral efficiency thanks to link performance gains obtained from frequency diversity. At the same time, non-contiguous allocations bring higher peak to average power ratio (PAPR) and so potentially higher intermodulation distortion and adjacent channel leakage-power ratio (ACLR). Power derating has been proposed as a means to avoid this problem and thus user equipments (UEs) must reduce their maximum transmitted power. However, the additional link loss on power limited UEs partially counteracts the gain brought by multi-cluster allocation. In this sense, this paper proposes to include Maximum Power Reduction (MPR) information in opportunistic scheduling decisions. The new scheduling proposal is able to determine whether multi-clustering leads to a net gain in instantaneous throughput or if localized allocation is preferred. The proposed method is compared to other scheduling techniques and it is also analyzed in different inter-site distance scenarios. Results show that considering MPR in opportunistic decisions can lead to overall cell performance improvements.

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“…The identities of the assigned SBs and the MCSs are then conveyed to the users via a downlink control channel. Studies on LTE-related scheduling have been reported in Kwan et al (2008); Liu et al (2007); Ning et al (2006); Pedersen et al (2007);Pokhariyal et al (2007) and the references therein. As pointed out in Jiang et al (2007), the type of traffic plays an important role in how scheduling should be done.…”

Section: /Qdkng Cpf 9ktgnguu %Qoowpkecvkqpu 2j[ukecn Nc[gt Fgxgnqrogpmentioning

confidence: 99%

Downlink Resource Scheduling in an LTE System

Kwan¹,

Leung²,

Zhang³

2010

Mobile and Wireless Communications Physical Layer Development and Implementatiom

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The problem of allocating resources to multiple users on the downlink of a Long Term Evolution (LTE) cellular communication system is discussed. An optimal (maximum throughput) multiuser scheduler is proposed and its performance is evaluated. Numerical results show that the system performance improves with increasing correlation among OFDMA subcarriers. It is found that a limited amount of feedback information can provide a relatively good performance. A sub-optimal scheduler with a lower computational complexity is also proposed, and shown to provide good performance. The sub-optimal scheme is especially attractive when the number of users is large, as the complexity of the optimal scheme may then be unacceptably high in many practical situations. The performance of a scheduler which addresses fairness among users is also presented.

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HARQ Aware Frequency Domain Packet Scheduler with Different Degrees of Fairness for the UTRAN Long Term Evolution

Cited by 104 publications

References 4 publications

Traffic models impact on OFDMA scheduling design

Traffic models impact on OFDMA scheduling design

MPR-Aware Scheduler for Carrier Aggregation Transmissions in LTE Uplink

Downlink Resource Scheduling in an LTE System

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