Subframe allocation for relay networks in the LTE advanced standard

Roth, Stefan; Gan, Jiansong; Danev, Danyo

doi:10.1109/pimrc.2010.5671910

Cited by 7 publications

(8 citation statements)

References 3 publications

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“…The scenario is simulated by assigning M-type CQIs (6-10) to the backhaul link and H-type CQIs (11)(12)(13)(14)(15) to the access links. The scenario is simulated by assigning M-type CQIs (6-10) to the backhaul link and H-type CQIs (11)(12)(13)(14)(15) to the access links.…”

Section: Further Discussionmentioning

confidence: 99%

“…The authors in [13] identified the issue that performing a multihop transmission requires more radio resources than a single-hop transmission and analyzed how the available resource should be allocated to the RN in order to maximize throughput and fairness. The authors in [13] identified the issue that performing a multihop transmission requires more radio resources than a single-hop transmission and analyzed how the available resource should be allocated to the RN in order to maximize throughput and fairness.…”

mentioning

confidence: 99%

“…It is concluded that adaptive bandwidth sharing provides better power gain as compared witb fixed allocation of bandwidth per link. The authors in [13] identified the issue that performing a multihop transmission requires more radio resources than a single-hop transmission and analyzed how the available resource should be allocated to the RN in order to maximize throughput and fairness. The authors concluded that if the backhaul link is more efficient than the eNB access link (eNB-UE), cell throughput and relay throughput can both be maximized by choosing a relay throughput maximal solution.…”

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confidence: 99%

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Integrated power saving for relay node and user equipment in LTE‐A

Yang

Chen

Mai

et al. 2015

Int J Communication

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By introduction of relay nodes, LTE-Advanced can provide enhanced coverage and capacity at cell edges and hot-spot areas. The authors have been researching the issue of power saving in mobile communications technology such as WiMax and Long Term Evolution (LTE) for some years. Based on the previous idea of load-based power saving, two strategies each with associated schemes to integrated relay nodes and user equipment in power saving are proposed in the paper. Simulation study shows the benefit of the proposed schemes in terms of better power saving than the standard-based scheme at the cost of moderately increased delay. Extended discussion about the impact of different load distribution among user equipments and the impact of a worse backhaul link on power saving is also presented in the paper.

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Section: Further Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Integrated power saving for relay node and user equipment in LTE‐A

Yang

Chen

Mai

et al. 2015

Int J Communication

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“…The problem of resource allocation in relay-enhanced LTE-A networks was analysed in [11] where the allocation problem is defined as a system performance optimisation problem and the authors show that the optimal throughput is achieve when the backhaul link defines the relay system's bottleneck. However, no scheduling is considered in that work and the allocation considers that the DeNB is aware of the backhaul and access links spectral efficiency.…”

Section: Resource Partitioning In Renmentioning

confidence: 99%

“…But their work also does not consider resource partition between the direct link and the backhaul link. Moreover, none of the above cited work [8][9][10][11][12][13][14] considers QoS support for users while designing the resource allocation schemes.…”

Section: Resource Partitioning In Renmentioning

confidence: 99%

Resource allocation in relay enhanced LTE-Advanced networks

Moraes

Nisar

González

et al. 2012

J Wireless Com Network

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Relay deployment in future mobile networks is a vital measure to enhance the coverage region of regular base stations, to overcome shadowing dips, and to bring improvements in the cell-edge performance. In this regard, resource allocation in a relay-enhanced scenario is a key design task, and has become a very interesting research topic over the past few years. In this article, we study two main resource allocation aspects of a relay-enhanced scenario. First, we concentrate on the problem of multiplexing the relay backhaul link and the direct link at the base station scheduler for in-band as well as out-band relay operations. We propose three distinct resource partitioning strategies, and evaluate their performance via long-term evolution (LTE) system level simulations in the downlink direction. We observe that even the low implementation effort algorithms bring appreciable improvement for the cell-edge users with or without small loss in performance for the other users, thereby enhancing system fairness. Second, we visit the problem of supporting heterogeneous quality of service (QoS) requirements in a multi-user relay-enhanced network. To this end, we introduce a QoS-aware scheduler which uses packet latency and rate requirements to prioritise the scheduling decisions. Moreover, we also propose a mechanism to support QoS-constrained services to the relayed users, served over two (or more) hops. Employing an LTE system level simulator, for relay-enhanced scenario with a traffic mix having distinct QoS requirements, we demonstrate that the proposed QoS-aware resource allocation strategy significantly increases the fraction of QoS-satisfied users.

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Resource sharing in LTE‐Advanced relay networks: uplink system performance analysis

Bulakçı

Saleh

Redana

et al. 2012

Trans. Emerging Tel. Tech.

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Relay-enhanced networks are expected to fulfil the demanding coverage and capacity requirements in a cost-efficient way. Type 1 inband relaying has been standardised as an integral part of the Third Generation Partnership Project (3GPP) Long-Term Evolution Release 10 and beyond (LTE-Advanced). This type of relay nodes (RNs) supports a relaying mode where the RN to donor evolved node B (donor eNB, DeNB) link (relay link, a.k.a. backhaul link) transmission is time-division multiplexed with the RN-served user equipments (RUEs) to RN link (access link) transmission, whereas macrocell-served user equipments (MUEs) share the same resources with the RNs at DeNB. Hence, system performance depends strongly on the resource sharing strategy among and within the links. Further, the set of subframes assigned for the relay link transmission is semi-statically configured and thus a dynamic reconfiguration to adapt to fast-changing system conditions (e.g. RN cell load) is not viable. Besides, in order to fully exploit the benefits of relaying, the inter-cell interference, which is increased because of the presence of RNs, should be limited via a proper power control (PC) scheme on each link. Therefore, an optimisation of both the resource sharing and PC strategy is required to enhance the overall performance of relay networks. In order to tackle these issues, we employ a statistic-based over-provisioned backhaul subframe allocation to be utilised for flexible co-scheduling of RNs and MUEs at the DeNB. In addition, we propose a combination of RN scheduling based on the number of RUEs and user throughput throttling achieving max-min fairness. Performance analysis of various resource sharing techniques along with PC optimisation is then carried out within the LTE-Advanced uplink framework in urban and suburban scenarios. Comprehensive results show that the proposed schemes achieve significant throughput gains and high system fairness with substantially increased flexibility in resource allocation.

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Subframe allocation for relay networks in the LTE advanced standard

Cited by 7 publications

References 3 publications

Integrated power saving for relay node and user equipment in LTE‐A

Integrated power saving for relay node and user equipment in LTE‐A

Resource allocation in relay enhanced LTE-Advanced networks

Resource sharing in LTE‐Advanced relay networks: uplink system performance analysis

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