5G Centralized Multi-Cell Scheduling for URLLC: Algorithms and System-Level Performance

Karimi, Ali; Pedersen, Klaus I.; Mahmood, Nurul Huda; Steiner, Jens; Mogensen, Preben

doi:10.1109/access.2018.2880289

Cited by 43 publications

(26 citation statements)

References 28 publications

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“…As an evolution of CoMP, the concept of cloud radio access network (RAN) has been considered. Here, a centralized BS are connected to remote radio heads through a high capacity backhaul [17]. The applicability of cloud RAN and IQ based multi-cell reception is therefore best suited for smaller network deployments with few antennas per cell (i.e.…”

Section: Introductionmentioning

confidence: 99%

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: Introductionmentioning

confidence: 99%

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

et al. 2019

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“…Multi-user multiplexing solutions for the coexistence of URLLC and enhanced MBB (eMBB) traffic are presented [12]- [16]. The works in [17] and [18] study centralized radio access network (C-RAN) architecture and dynamic point selection to reduce the obstructive queuing delay of URLLC payloads. Reliability enhancement by means of data packet duplication is presented in [19], [20].…”

Section: A Brief Overview Of the State Of The Art On Urllcmentioning

confidence: 99%

“…Problem (17) has similar structure as that of (12). Thereby, applying the same approaches as in Section IV-A yields a standard convex optimization min wi,zi ln e w1 + e z1+w2 + P am e e w2 , S.t.…”

Section: B Joint Encoding Of Data and Metadatamentioning

confidence: 99%

On the Multiplexing of Data and Metadata for Ultra-Reliable Low-Latency Communications in 5G

Karimi

Pedersen

Mahmood

et al. 2020

IEEE Trans. Veh. Technol.

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This paper addresses the problem of downlink radio resource management for ultra-reliable low-latency communications (URLLC) in fifth generation (5G) systems. To support low-latency communications, we study performance of two multiplexing schemes namely in-resource control signalling and joint encoding of data and metadata. In the former, the metadata and data are separately encoded and the metadata is sent at the beginning of transmission time prior to the data. Thus, it benefits from a low-complexity receiver structure to decode the data block. The latter takes advantages of transmitting a larger blocklength to enhance the reliability and improve spectrum efficiency by jointly encoding data and metadata as a single codeword. Dealing with small URLLC payloads, the overhead and error of sending metadata are not negligible and have a significant impact on the system performance in terms of resource usage the reliability of transmission. For each scheme, we derive expressions for the outage probability and resource usage by taking into account impacts of the finite blocklength payloads, overhead and error of sending metadata, and probability of error in uplink feedback channel. We propose a novel framework for joint data and metadata link adaptation to minimize the average number of allocated resources, while ensuring the stringent URLLC quality of service requirements. An optimization problem is formulated for each scheme that is mixed-integer nonconvex problem, difficult to solve in polynomial time. Solutions based on successive convex optimization are proposed. Numerical evaluations show that the proposed algorithms perform close to the optimal solution and demonstrate remarkable gains of up to 27% improvement in resource usage. Finally, we present sensitivity analysis of the results for various network parameters.

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“…The packet scheduling algorithms (for DL and UL) are implemented in the MAC layer at the level of the gNB/ng-eNB base station. At each TTI, resources are allocated to different users [2] [10].…”

Section: Introductionmentioning

confidence: 99%

Dynamic resource management algorithms for interference prediction in 5G new radio scenarios

Angri¹,

Mahfoudi²,

Najid³

2021

Preprint

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Efficient Radio Resource Management is a key mechanism in interference management in 5G New Radio (NR) networks, specifically in the case of the presence of mobile users moving at high speed. To this end, the prediction and the evaluation of the propagation channel sensitivity requires that the radio resources allocation in NR must be efficient and powerful. Therefore, several scheduling algorithms have been developed and tested using the mmWave model of NS-3 simulator, with the aim of enhancing their contribution to improving the quality of the signal received by users. The performances have been evaluated in terms of Signal-to-Interference-and-Noise-Ratio (SINR) and signal Block Error Rate (BLER). The simulations were run for different types of data flows, and achieved satisfactory results for most schemes. The achievements clearly show the importance of scheduling algorithms in lowering received interference, but they have also demonstrated the stability and reliability of some of those strategies.

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5G Centralized Multi-Cell Scheduling for URLLC: Algorithms and System-Level Performance

Cited by 43 publications

References 28 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

On the Multiplexing of Data and Metadata for Ultra-Reliable Low-Latency Communications in 5G

Dynamic resource management algorithms for interference prediction in 5G new radio scenarios

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