On the Coverage Extension and Capacity Enhancement of Inband Relay Deployments in LTE‐Advanced Networks

Saleh, Abdallah Bou; Redana, Simone; Hämäläinen, Jyri; Raaf, Bernhard

doi:10.1155/2010/894846

Cited by 65 publications

(32 citation statements)

References 12 publications

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“…The performance and energy efficiency of relay enhanced networks have gained a lot of interest; see, for example, [5][6][7][8][9][10][11][12][13][14][15]. Recently the impact of buffer on the performance of DF relaying has also been investigated in references like [16].…”

Section: Introductionmentioning

confidence: 99%

End-to-End Data Rate Performance of Decode-and-Forward Relaying with Different Resource Allocation Schemes

Ullah

Dowhuszko

Zheng

et al. 2017

Mobile Information Systems

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This paper studies the end-to-end (e2e) data rate of dual-hop Decode-and-Forward (DF) infrastructure relaying under different resource allocation schemes. In this context, we first provide a comparative analysis of the optimal resource allocation scheme with respect to several other approaches in order to provide insights into the system behavior and show the benefits of each alternative. Then, assuming the optimal resource allocation, a closed form expression for the distribution of the mean and outage data rates is derived. It turns out that the corresponding mean e2e data rate formula attains an expression in terms of an integral that does not admit a closed form solution. Therefore, a tight lower bound formula for the mean e2e data rate is presented. Results can be used to select the most convenient resource allocation scheme and perform link dimensioning in the network planning phase, showing the explicit relationships that exist between component link bandwidths, SNR values, and mean data rate.

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Section: Introductionmentioning

confidence: 99%

End-to-End Data Rate Performance of Decode-and-Forward Relaying with Different Resource Allocation Schemes

Ullah

Dowhuszko

Zheng

et al. 2017

Mobile Information Systems

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“…Relaying is seen as a cost-effective way to increase the capacity in next generation mobile networks, such as LTE-A (Long Term Evolution-Advanced), and improve the experience of users located on low signal level areas, such as cell-edge regions [1]. Relaying implies that users (UEs: User Equipments) communicate with the network via relay nodes (RNs), which are wirelessly connected to a DeNB (Donor evolved NodeB).…”

Section: Introductionmentioning

confidence: 99%

SFR-based vs. FFR-based inter-cell interference coordination for inband relay LTE-A networks

Eguizábal

Hernández

2014

2014 6th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)

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Relaying is a promising solution to increase the capacity and improve the experience of users in LTE-A networks. Nevertheless, inter-cell interference coordination (ICIC) and resource sharing among different nodes and links are important challenges in order to obtain a real benefit from relay deployments. This paper focuses on Type 1 half-duplex inband relaying. Several strategies related to resource partition and frequency reuse between nodes and links are proposed for both access and backhaul subframes, under modified FFR-based and SFR-based resource sharing schemes for macro-ICIC. The aim is to evaluate the impact of macro-ICIC schemes on interference management in heterogeneous systems. These proposals are compared for various relay deployments, taking into account the real impact of the capacity of backhaul links on system performance. Moreover, relay cell range expansion with several bias offsets is analyzed.

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“…Therefore, relaying is regarded a cost-efficient technology [1]. Previous technical studies have further shown that RNs promise to increase the network capacity and to better distribute resources in the cell, or extend the cell coverage area [2,3].…”

Section: Introductionmentioning

confidence: 99%

Automated uplink power control optimization in LTE-Advanced relay networks

Bulakçı

Awada

Saleh

et al. 2013

J Wireless Com Network

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Relaying is standardized in 3rd Generation Partnership Project (3GPP) Long-Term Evolution (LTE)-Advanced Release 10 as a promising cost-efficient enhancement to existing radio access networks. Relay deployments promise to alleviate the limitations of conventional macrocell-only networks such as poor indoor penetration and coverage holes. However, to fully exploit the benefits of relaying, power control (PC) in the uplink should be readdressed. In this context, PC optimization should jointly be performed on all links, i.e., on the donor-evolved Node B (DeNB)-relay node (RN), the DeNB-user equipment (UE) link, and the RN-UE link. This ensures proper management of interference in the network besides attaining a receiver dynamic range which ensures the orthogonality of the single-carrier frequency-division multiple access (SC-FDMA) system. In this article, we propose an automated PC optimization scheme which jointly tunes PC parameters in relay deployments. The automated PC optimization can be based on either Taguchi's method or a meta-heuristic optimization technique such as simulated annealing. To attain a more homogeneous user experience, the automated PC optimization scheme applies novel performance metrics which can be adapted according to the operator's requirements. Moreover, the performance of the proposed scheme is compared with a reference study that assumes a scenario-specific manual learn-by-experience optimization. The evaluation of the optimization methods within the LTE-Advanced uplink framework is carried out in 3GPP-defined urban and suburban propagation scenarios by applying the standardized LTE Release 8 PC scheme. Comprehensive results show that the proposed automated PC optimization can provide similar performance compared to the reference manual optimization without requiring direct human intervention during the optimization process. Furthermore, various trade-offs can easily be achieved; thanks to the new performance metrics.

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On the Coverage Extension and Capacity Enhancement of Inband Relay Deployments in LTE‐Advanced Networks

Cited by 65 publications

References 12 publications

End-to-End Data Rate Performance of Decode-and-Forward Relaying with Different Resource Allocation Schemes

End-to-End Data Rate Performance of Decode-and-Forward Relaying with Different Resource Allocation Schemes

SFR-based vs. FFR-based inter-cell interference coordination for inband relay LTE-A networks

Automated uplink power control optimization in LTE-Advanced relay networks

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