System-Level Performance of Interference Suppression Receivers in LTE System

Pietikainen, Kari; Carpio, Felipe Del; Määttänen, Helka‐Liina; Lampinen, Marko; Koivisto, Tommi; Enescu, Mihai

doi:10.1109/vetecs.2012.6239969

Cited by 19 publications

(6 citation statements)

References 6 publications

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“…The BSs are equipped with an MMSE-IRC receiver following the model presented in [28], [35]. BS c (a p-cell or an assisting cell) equipped with M receive antennas calculate the receiver filter g c for a desired signal from UE u as…”

Section: Evaluation Methodologymentioning

confidence: 99%

“…All cells are assumed to be equipped with a the 5G NR baseline receiver which is a linear minimum mean square error and interference rejection combining (MMSE-IRC) receiver with M receive antennas [18], [28]. With all UEs and BSs synchronized, the receiver may account for the intra-cell and inter-cell interference when computing the interference covariance matrix.…”

Section: B Receivermentioning

confidence: 99%

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Multi-Cell Reception for Uplink Grant-Free Ultra-Reliable Low-Latency Communications

et al. 2019

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The fifth-generation (5G) radio networks will support ultra-reliable low-latency communications (URLLC). In the uplink, the latency can be reduced by removing the time-consuming and error-prone scheduling procedure and, instead, using the grant-free (GF) transmissions. Reaching the strict URLLC reliability requirements with GF transmissions is, however, particularly challenging due to the wireless channel uncertainties and interference from other URLLC devices. As a consequence, the supported URLLC capacity and, hence, the spectral efficiency are typically low. Multi-cell reception, i.e., joint reception and combining by multiple base-stations (BS), is a technique known from long-term evolution (LTE), with the potential to greatly enhance the reliability. This paper proposes the use of multi-cell reception to increase the URLLC spectral efficiency while satisfying the strict requirements using GF transmissions in a 5G new radio (NR) scenario. We evaluate the achievable URLLC capacity for an elaborate multi-cell reception parameter space and multi-cell combining techniques. In addition, we demonstrate that rethinking of the radio resource management (RRM) in the presence of multi-cell reception is needed to unleash the full potential of multi-cell reception in the context of UL GF URLLC. It is observed that multi-cell reception, compared to a single-cell reception, can provide URLLC capacity gains from 205% to 440% when the BSs are equipped with two receive antennas and 53% to 22% when BSs are equipped with four receive antennas, depending on whether the retransmissions are enabled. INDEX TERMS 5G new radio, grant-free, multi-cell reception, radio resource management, system level simulation, ultra-reliable low latency communications, uplink, URLLC.

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Section: Evaluation Methodologymentioning

confidence: 99%

Section: B Receivermentioning

confidence: 99%

Multi-Cell Reception for Uplink Grant-Free Ultra-Reliable Low-Latency Communications

et al. 2019

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“…As long as the benefit is higher than the cost, the applied technique will bring an overall improvement in the network. In addition to network-based coordination, the user equipment can play a significant role in mitigating the interference by means of advanced receivers, operating in a linear [30,36] or non-linear fashion [37]. The use of advanced receivers presents an inherent advantage in that, since the interference is mitigated at the receiver, there is no need to limit the interfering cell's resources, effectively eliminating the performance cost that networkbased coordination implies.…”

Section: Discussion Of Interference Mitigation Optionsmentioning

confidence: 99%

Interference characterization and mitigation benefit analysis for LTE-A macro and small cell deployments

Fernández-López

Pedersen

Soret³

2015

J Wireless Com Network

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This article presents a characterization of different LTE-Advanced network deployments with regard to downlink interference and resource usage. The investigation focuses on heterogeneous networks (HetNets) with dedicated spectrum for each layer and, in particular, on cases where small cells are densely deployed. Thus, the main interference characteristics of the macro layer and the dense small cell layer are studied separately. Moreover, the potential benefit of mitigating the dominant interferer in such scenarios is quantified as an upper bound gain and its time variability is discussed and evaluated. A dynamic FTP traffic model is applied, with varying amounts of traffic in the network. The results present an uneven use of resources in all feasible load regions. The interference under the dynamic traffic model shows a strong variability, and the impact of the dominant interferer is such that 30% of the users could achieve at least a 50% throughput gain if said interferer were mitigated, with some users reaching a 300% improvement during certain time intervals. All the mentioned metrics are remarkably similar in the macro and small cell deployments, which suggests that densification does not necessarily imply stricter interference mitigation requirements. Therefore, the conclusion is that the same techniques could be applied in both scenarios to deal with the dominant interferer.

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“…Rank one transmissions are assumed. A minimum mean square error -interference rejection combining (MMSE-IRC) receiver is assumed at the UE side following the model presented in [30]. The receiver filter g for a desired signal in the UE is given by…”

Section: Evaluation Methodologymentioning

confidence: 99%

Scheduling Enhancements and Performance Evaluation of Downlink 5G Time-Sensitive Communications

Abreu¹,

Pocovi²,

Jacobsen³

et al. 2020

IEEE Access

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Time-sensitive communications (TSC) in wireless networks is an emerging paradigm that gains research momentum as an enabler of the industrial Internet of Things. As compared to ultra-reliable low-latency communications (URLLC) in fifth-generation cellular networks, TSC has stricter requirements in terms of latency and reliability, and also demands absolute time-synchronization and on-time delivery of packets for deterministic and isochronous real-time applications. In this regard, a key question is how to schedule TSC traffic flows effectively. This paper presents a radio resource allocation strategy for deterministic downlink TSC flows leveraging traffic pattern knowledge. Taking physical layer control channel effects into account, a comparison of semi-persistent and dynamic packet scheduling methods is presented as well as necessary enhancements to link adaptation and interference coordination procedures. With the proposed methods, the network capacity in terms of number of supported TSC flows can be more than doubled compared to traditional dynamic scheduling methods as commonly assumed for URLLC applications.

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System-Level Performance of Interference Suppression Receivers in LTE System

Cited by 19 publications

References 6 publications

Multi-Cell Reception for Uplink Grant-Free Ultra-Reliable Low-Latency Communications

Multi-Cell Reception for Uplink Grant-Free Ultra-Reliable Low-Latency Communications

Interference characterization and mitigation benefit analysis for LTE-A macro and small cell deployments

Scheduling Enhancements and Performance Evaluation of Downlink 5G Time-Sensitive Communications

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