URLLC key enablers for 5G and beyond systems

Assist. Prof. Hirley Alves

Machine-type Wireless Communications Group

Abstract

URLLC is an inherent part of 5G and is the

communication mode that imposes the greatest technicalchallenges for 5G and beyond systems.

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6G will emerge around 2030 to satisfy the expectations

not met with 5G, as well as, the new ones fusing AI

inspired applications in every field of society with

ubiquitous wireless connectivity.

Vision for 2030 Our society is data-driven,

enabled by near-instant,

unlimited wireless connectivity.

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6G will emerge around 2030 to satisfy the expectations

not met with 5G, as well as, the new ones fusing AI

inspired applications in every field of society with

ubiquitous wireless connectivity.

Vision for 2030 Our society is data-driven,

enabled by near-instant,

unlimited wireless connectivity.

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Abstract

Even though some advancements have been made with 5G NR,

we are still far from enabling that vision.

What are the URLLC enablers for 5G and beyondsystems and their associated challenges?

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LLC (URC-S) URC (URC-L)

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Fast uplink grant

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NB-IoT

LTE-M

mMIMO

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NOMA

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MTC for 5GB

MECNetwork

slicing

Short TTI

Machine learning

Fog

Finite

blocklength

coding

Packet duplication

HARQ

Multi-connectivity

Diversity Techniques

C-RANNetwork

coding

mMTC LLC (URC-S) URC (URC-L)

High coverage

106 devices/km2

Low-cost devices

Long lasting battery life

Latency < 1ms

Very High coverage

Reliability > 99.999 %

NOMA

Grant free RA

Semi persistent

scheduling

Fast uplink grant

Coded random

access

NB-IoT

LTE-M

NOMA

mMIMO

6GFlagship.com, @6GFlagship

6GFLAGSHIP.COM, #6GFLAGSHIP

MTC for 5GB

MECNetwork

slicing

Short TTI

Machine learning

Fog

Finite

blocklength

coding

Packet duplication

HARQ

Multi-connectivity

Diversity Techniques

C-RANNetwork

coding

mMTC LLC (URC-S) URC (URC-L)

High coverage

106 devices/km2

Low-cost devices

Long lasting battery life

Latency < 1ms

Very High coverage

Reliability > 99.999 %

NOMA

Grant free RA

Semi persistent

scheduling

Fast uplink grant

Coded random

access

NB-IoT

LTE-M

NOMA

mMIMO

Enablers

Diversity Techniques

Cooperative Diversity (HARQ)

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P. Nouri, H. Alves, M. Latva-aho,``Performance Analysis of Ultra-Reliable Short Message Decode and Forward Relaying Protocols'', EURASIP Journal on Wireless Communications and

Networking, pp. 1-10, vol 2018, no 194, Aug 2018.

Finite Blocklength Coding

- 32 bytes payload

- 99.999% reliability

Enablers

Diversity Techniques

MIMO & FBC

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O. Lopez, H. Alves and M. Latva-aho \Rate Control under Finite Blocklength for Downlink Cellular Networks with Reliability Constraints", IEEE ISWCS'2018, Aug. 2018, Lisbon, PT. arXiv:

https://arxiv.org/abs/1806.04386

Enablers

Diversity Techniques

MIMO & FBC

Rate and Power Control

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O. L. A. López, H. Alves, and Matti Latva-aho, “Joint Power Control and Rate Allocation enabling Ultra-Reliability and Energy Efficiency in SIMO Wireless Networks,”, TCOM (cond. Accepted.).

Robust QoS guarantees

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- Diversity (cooperative, spatial,…)

- Multi-connectivity- Meet 32 bytes & 99.999% reliability

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Challenges ahead

- Deterministic QoS

- High reliability under strict latency

- High Coverage & availability

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Kiitos!

Thanks!

Obrigado!

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MTC

Group

https://sites.google.com/view/hirley-alves/group