Path loss model comparison for LTE-Advanced relay backhaul link in urban environment

Conrat, Jean-Marc; Chu, Quang Hien; Maaz, Issam; Cousin, Jean-Christophe

doi:10.1109/eucap.2014.6902576

Cited by 4 publications

(5 citation statements)

References 10 publications

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“…This scenario is used to quantify the impact of the relay antenna or the relaying protocol. PL is calculated with models described in [29][30][31][32] and summarized by (1)(2)(3)(4)(5)(6). Since RS and MS are always under the rooftops in an urban environment, the optical visibility between BS and RS or between BS and MS is unlikely.…”

Section: Proposed Methodsmentioning

confidence: 99%

“…This paper aims to compare the relay-assisted communication throughput with the throughput provided by the direct link. Path loss models or measured values used for the analysis are extracted from a measurement campaign that was described in [29][30][31][32]. Reference [29] is focused on the backhaul link whereas [30][31][32] are focused on the access link.…”

Section: A Basic Relay Network Is Composed Of a Base Station (Bs) Rementioning

confidence: 99%

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Impact of engineering parameters on performance of relay-assisted network

Maaz

Conrat

Cousin

et al. 2020

IJEECS

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<span>This paper compares the performance of a relay assisted network to the performance given by a classical macrocell network without the presence of relay node schemes. The capacity enhancement provided by a relaying system as a function of the relay antenna height and the propagation environment surrounding the relay nodes is analyzed and discussed in details. The analysis in this work is based on the theoretical Shannon capacity where both measured/experimental path loss and calibrated path loss models are taken into consideration. In this work, we assume a decode and forward scheme, a full-duplex relaying protocol and an optimized relay location is investigated. A 30 % of improvement in the macrocell capacity is achieved with the usage of relaying scenario compared to a classical macrocell network. Furthermore, increasing the relay antenna height from 4 meters to 12 meters can significantly increase the relay capacity to more than 20 % in suburban and moderate urban environments.</span>

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Section: Proposed Methodsmentioning

confidence: 99%

Section: A Basic Relay Network Is Composed Of a Base Station (Bs) Rementioning

confidence: 99%

Impact of engineering parameters on performance of relay-assisted network

Maaz

Conrat

Cousin

et al. 2020

IJEECS

Self Cite

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“…The WINNER II Type 5a and Type 5f path loss models are considered for the backhaul LOS and NLOS links, respectively. In addition, the WINNER II Type C2 model is utilized for calculating the path loss of the access links for both macro and small cell [22,23] as follows: For modeling of the large-scale shadow fading, a lognormal random variable is used, with zero mean and standard deviations for the access links and the backhaul links of 10 dB and 4 dB, respectively. The temporal correlation of the shadowing is taken into account with a decorrelation distance of 25 m.…”

Section: B Propagation Modelmentioning

confidence: 99%

Interference Mitigation Using Uplink Power Control in 5G Relay-Based Heterogeneous Networks

Sultan¹,

Jabbar

Al-Thobhani³

et al. 2022

2022 2nd International Conference on Emerging Smart Technologies and Applications (eSmarTA)

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Heterogeneous network (HetNet) is an attractive solution for future cellular networks with high data rate and coverage requirements. In HetNets, small cells such as micro cells, pico cells, femto cells and relay node (RN) are added to the network of macro cells in the same region. A large number of low power RNs produces new cell edges with significant intra-cell and inter-cell interferences. In the uplink (UL) scenarios of timedivision based HetNets with RN, the user equipment (UE) desired signal may be interfered by the transmissions of the co-channel UEs during the first time slot and by the transmissions of the cochannel UEs or RNs during the second time slot. The interference caused by the RNs may significantly degrade the UE signal. UL transmission power control (PC) is essential for mitigating interference and, as a result, enhancing the cell edge and overall system performance. This research proposes a PC algorithm in order to mitigate the UL interference in 5g relay-based HetNets. This research also investigates the UL performance of HetNets when PC is applied at the RNs. Simulation results indicate that UL PC at the RNs greatly reduces average interference and improves average UL signal-to-interference-plus-noise ratio (SINR) and average UL end-to-end throughput compared to the situation in which UL PC is not implemented.

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“…The backhaul link between the BS and RN is assumed to be reliable and in line of sight (LOS), while the access links between the BS and UE and between RN and UE are in non LOS (NLOS). The WINNER II (Type C2) path loss model is considered for both macro and small cell [28,29] as follows: Large-scale shadow fading is modelled as a lognormal random variable with zero mean and standard deviations of 10 dB for the access links and 4 dB for the backhaul links. The temporal correlation of the shadowing is modeled with a decorrelation distance of 25 m.…”

Section: B Propagation Modelmentioning

confidence: 99%

Performance of Hard Handover in 5G Heterogeneous Networks

Sultan

Mohsen

Al-Thobhani

et al. 2021

2021 1st International Conference on Emerging Smart Technologies and Applications (eSmarTA)

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To satisfy the high data demands in future cellular networks, an ultra-densification approach is introduced to shrink the coverage of base station (BS) and improve the frequency reuse. In an ultra-densification approach, small cells such as relay node (RN), micro, pico and femto base stations (BSs) are deployed to the network of macro cells in the same geographic region, forming HetNet. HetNets introduce some notable challenges like inter-cell-interference-coordination (ICIC), mobility management and backhaul provisioning. In this paper, we investigate the performance of the hard handover (HHO) in 5G HetNets. The performance metrics are the total number of handovers and the outage probability. Simulation results show that the average outage probability is decreased in HetNet scenario compared the macro only scenario. However, this improvement comes at the expense of increase number of handovers.

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Path loss model comparison for LTE-Advanced relay backhaul link in urban environment

Cited by 4 publications

References 10 publications

Impact of engineering parameters on performance of relay-assisted network

Impact of engineering parameters on performance of relay-assisted network

Interference Mitigation Using Uplink Power Control in 5G Relay-Based Heterogeneous Networks

Performance of Hard Handover in 5G Heterogeneous Networks

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