Ultra-reliable communications in failure-prone realistic networks

Pocovi, Guillermo; Lauridsen, Mads; Soret, Beatriz; Pedersen, Klaus I.; Mogensen, Preben

doi:10.1109/iswcs.2016.7600939

Cited by 5 publications

(3 citation statements)

References 12 publications

(21 reference statements)

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“…The study in [16] demonstrates that a 4×4 multiinput multi-output (MIMO) microscopic diversity along with two orders of macroscopic diversity are essential to reach the outage SINR point, required to achieve the URLLC latency limit at the 10 −5 outage in 3GPP macro networks. These conclusions are also supported by URLLC realistic measurement campaigns [17]. Hence, the URLLC latency budget can be achieved by enhancing the decoding ability.…”

Section: A State Of the Art Urllc Scheduling Studiessupporting

confidence: 61%

Opportunistic Spatial Preemptive Scheduling for URLLC and eMBB Coexistence in Multi-User 5G Networks

Esswie

Pedersen

2018

IEEE Access

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The fifth generation (5G) of the mobile networks is envisioned to feature two major service classes: ultra-reliable low-latency communications (URLLC) and enhanced mobile broadband (eMBB). URLLC applications require a stringent one-way radio latency of 1 ms with 99.999% success probability while eMBB services demand extreme data rates. The coexistence of the URLLC and eMBB quality of service (QoS) on the same radio spectrum leads to a challenging scheduling optimization problem, that is vastly different from that of the current cellular technology. This calls for the novel scheduling solutions which cross-optimize the system performance on a user-centric, instead of network-centric basis. In this paper, a null-space-based spatial preemptive scheduler for joint URLLC and eMBB traffic is proposed for the densely populated 5G networks. Proposed scheduler framework seeks for cross-objective optimization, where the critical URLLC QoS is guaranteed while extracting the maximum possible eMBB ergodic capacity. It utilizes the system spatial degrees of freedom in order to instantly offer an interference-free subspace for the critical URLLC traffic. Thus, a sufficient URLLC decoding ability is always preserved, and with the minimal impact on the eMBB performance. Analytical analysis and extensive system level simulations are conducted to evaluate the performance of the proposed scheduler against the state-of-the-art scheduler proposals from industry and academia. Simulation results show that the proposed scheduler offers extremely robust URLLC latency performance with a significantly improved ergodic capacity.INDEX TERMS 5G, radio resource management, scheduling, ultra-reliable low-latency communications (URLLC), enhanced mobile broadband (eMBB), MU-MIMO, preemptive, null space.

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Section: A State Of the Art Urllc Scheduling Studiessupporting

confidence: 61%

Opportunistic Spatial Preemptive Scheduling for URLLC and eMBB Coexistence in Multi-User 5G Networks

Esswie

Pedersen

2018

IEEE Access

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“…2(c). The duplicate packets are sent from multiple RRHs independently, which gives redundancy against fading, blocking, or radio link failure [38]. The joint transmission through MRT gives the best reception reliability enabling multipoint MC.…”

Section: Transmission Schemes and Sir Derivationmentioning

confidence: 99%

Fog-RAN Enabled Multi-Connectivity and Multi-Cell Scheduling Framework for Ultra-Reliable Low Latency Communication

et al. 2022

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Ultra-Reliable Low Latency Communication (URLLC) is a newly introduced service class targeting emerging Internet-of-Things (IoT) application scenarios. This paper assumes an interferencelimited Fog Radio Access Network (F-RAN) setup composed of multiple Remote Radio Heads (RRHs) equipped with multiple antennas serving single-antenna users. F-RAN facilitates collaborative solutions while reducing delay by pushing the network capabilities beyond the edge. By leveraging diversity, RRHs may cooperate through silencing, reducing interference, or joint transmission strategies such as maximal ratio transmission. We derive closed-form outage probability expressions and attain their diversity gain. We validate the derived analytical results through extensive numerical simulations. Furthermore, we propose a mini-slots-based scheduling framework to serve URLLC users within their fixed latency budget. In an interference-limited regime with the proposed scheduling framework, we show that a performance gain is superior when RRHs cooperate compared to when they do not. We briefly discuss the cost of reliability, i.e., the impact on the system's average sum throughput under cooperation. Moreover, numerical results verify that cooperating transmission schemes boost transmission reliability with a significantly improved latency performance at the cost of reduced system's average sum throughput.

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“…As it is expected that URLLC has been given a small portion of bandwidth similarly to narrowband IoT, applying such techniques might not be a feasible solution. Furthermore, in [8], different micro and macroscopic diversity techniques along with interference management scheme to achieve the required outage probability in the downlink for URLLC was investigated in a realistic network. Similarly, in [9], the analytical tools to characterize the delay and packet loss components for URLLC have been identified and challenges in resource allocation have been presented.…”

Section: Introductionmentioning

confidence: 99%

Interference-Aware Radio Resource Allocation for 5G Ultra-Reliable Low-Latency Communication

Malik

Alam

Moullec

et al. 2018

2018 IEEE Globecom Workshops (GC Wkshps)

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Ultra-reliable low-latency communication (URLLC) is one of the main challenges faced by future 5G networks to enable mission critical IoT use-case scenarios. High reliability can be achieved by reducing the requirement of achievable rates, therefore, results in reduced spectral efficiency. Retransmission has been introduced for 5G or beyond, to achieve reliability with improved spectral efficiency at the cost of increased packet latency. Keeping in mind, the trade-off between reliability and latency, in this paper, we have proposed an interference-aware radio resource (IARR) allocation for uplink transmission by formulating a sum-rate maximization problem. The aim of proposed algorithm is to improve the link quality to achieve high reliability for future 5G networks resulting in reduced retransmissions and packet latency. To reduce the computation complexity of the maximization problem in achieving the global optimal solution, we propose a progressive interference-aware heuristic solution. The proposed solution is then investigated to evaluate the impact of retransmission and inter-cell interference on the average information rate and latency of the considered multi-cell cellular network. The performance of IARR algorithm is then compared with the conventional round-robin scheduling (RRS). Significant improvement in the link reliability along with the reduction in latency has been observed with IARR algorithm. The results illustrate that the IARR algorithm improves the average rate by 7% and latency by 10% compared to RRS.

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Ultra-reliable communications in failure-prone realistic networks

Cited by 5 publications

References 12 publications

Opportunistic Spatial Preemptive Scheduling for URLLC and eMBB Coexistence in Multi-User 5G Networks

Opportunistic Spatial Preemptive Scheduling for URLLC and eMBB Coexistence in Multi-User 5G Networks

Fog-RAN Enabled Multi-Connectivity and Multi-Cell Scheduling Framework for Ultra-Reliable Low Latency Communication

Interference-Aware Radio Resource Allocation for 5G Ultra-Reliable Low-Latency Communication

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