ThD5 – Network Optimisationgo to top
Thursday, 20 June 2019, 16:00-17:30, Room 5
Session chair: Salvador Sales (Universitat Politecnica de Valencia, Spain)
Ljupco Jorguseski and Remco Litjens (TNO, The Netherlands); Maria Raftopoulou (KPN, The Netherlands)
We design and assess novel random access (RA) procedures for use in 5G radio access networks in support of machine-type applications requiring Ultra-Reliable Low-Latency Communications (URLLC). In a simulation-based performance assessment the proposed RA procedures are compared against LTE Cat-M1, the current LTE-based access technology for such applications, considering a Factory of the Future scenario and a realistic density and mix of URLLC and non-URLLC devices. As a key outcome, the most promising Two-step RA with Feedback procedure is demonstrated to be able to satisfy the 3GPP-imposed 10 ms (50 ms) latency requirement of URLLC (non-URLLC) applications in 99.9% (99.99%) of the cases, with a theoretical minimum access latency of only 5 ms.
Carmen Vazquez (Universidad Carlos III Madrid, Spain); David Sanchez Montero (Universidad Carlos III de Madrid, Spain); Fahad Al-Zubaidi (Universidad Carlos III Madrid, Spain); Juan Dayron López-Cardona (UC3M, Spain)
We explore the potential of optical power delivering in multicores fibers, either using cores only for power or to share data and power delivering in the same core. A comparison between both scenarios in terms of power levels for different link lengths and number of elements required is provided. We measure the impact of high power-over-fiber signals at 1480nm on the data transmission quality in a 4-core multicore fiber. Both dedicated- and shared-core scenarios are evaluated showing negligible data traffic quality performance changes.
Federico Tonini (Università di Bologna, Italy); Carla Raffaelli (University of Bologna, Italy); Steinar Bjornstad (NTNU, Norway); David T Chen (Nokia, USA); Raimena Veisllari (TransPacket AS, Norway)
A novel packet-based adaptive mechanism for bounding delay and delay variation in 5G Ethernet fronthaul is proposed. The mechanism enables aggregation of asynchronous traffic from fronthaul links using a traffic pattern adaptation algorithm. Traffic of a first stream is added in time-gaps of a second stream. For bounding and balancing the packet delay and delay variation between the streams, the size of the required time-gap before insertion is made adaptive. Simulation results demonstrate that through suitable tuning of the algorithm parameters, packet delay and delay variation below 10 microseconds can be achieved.
Mikel Irazabal (Universitat Politecnica de Catalunya, Spain); Elena Lopez-Aguilera (Technical University of Catalonia (UPC), Spain); Ilker Demirkol (Universitat Politecnica de Catalunya, Spain)
5G is envisioned as the key technology for guaranteeing low-latency wireless services. Packets will be marked with QoS Flow Indicators (QFI) for different forwarding treatment. 3GPP defines the end-to-end delay limits, but leaves the QoS provisioning methods as implementation dependent. Different services with different constraints will inevitably share queues at some network entity. On the one hand, maintaining the shared queues uncongested will guarantee a rapid packet delivery to the subsequent entity. A brief sojourn time is indispensable for an on time low-latency priority traffic delivery. On the other hand, if shared queues are maintained undersized, throughput will be squandered. In this paper, we propose the use of AQM techniques in 5G networks to guarantee delay limits of QoS flows. Through the evaluation of realistic delay-sensitive and background traffic, we compare different possible solutions. We show that AQM mechanisms together with limited queues, maintain the system uncongested, which reduces drastically the delay, while effectively achieving the maximum possible throughput.
David Martín-Sacristán (Universitat Politècnica de València, iTEAM Research Institute); Sandra Roger (Universitat de València, Computer Science Department); David Garcia-Roger and Jose F Monserrat (Universitat Politècnica de València, iTEAM Research Institute); Apostolos Kousaridas, Panagiotis Spapis and Chan Zhou (Huawei Technologies, German Research Center)
Groups of users, sometimes referred to as clusters, have been exploited in several works to enhance wireless communications. Leveraging on previous ideas, the main goal of this paper is to take advantage of vehicle grouping in order to reduce uplink signaling in fifth generation (5G) vehicular communications. Several schemes to reduce uplink signaling are proposed and particularized in two specific 5G uses cases: the reporting of Channel Busy Ratio (CBR), and the reporting of beam measurements in beam management procedures. The achieved signaling reduction is analytically evaluated in an example of urban scenario with high vehicle densities for different group sizes. The signaling load can be reduced in such scenario between 10 and 40 times for the CBR, and between 3 and 7 times for the beam measurements.