Flexible Multiplexing Mechanism for Coexistence of URLLC and EMBB Services in 5G Networks

doi:10.12142/ZTECOM.202102011

摘要/Abstract

Abstract:

5G mobile networks are envisioned to support both evolved mobile broadband (eMBB) and ultra-reliable and low latency communications (URLLC), which may coexist and interfere with each other in the same service cell in many scenarios. In this paper, we propose a dynamic 2-dimension bitmap resource indication to cancel eMBB services with a finer uplink cancellation granularity and a lower probability of false cancellation. Meanwhile, a resource indication based power control method is introduced to dynamically indicate different power control parameters to the user equipment (UE) based on different time-frequency resource groups and the proportion of overlapping resources, by which the reliability of URLLC transmission is guaranteed while the impact on the performance of the eMBB service is minimized. Furthermore, a dynamic selection mechanism is proposed to accommodate the varying cases in different scenarios. Extensive system level simulations are conducted and the results show that about 10.54% more URLLC UE satisfy the requirements, and the perceived throughput of eMBB UE is increased by 23.26%.

Key words: 5G, eMBB, power control, resource indication, uplink cancellation, URLLC

. [J]. ZTE Communications, 2021, 19(2): 82-90.

XIAO Kai, LIU Xing, HAN Xianghui, HAO Peng, ZHANG Junfeng, ZHOU Dong, WEI Xingguang. Flexible Multiplexing Mechanism for Coexistence of URLLC and EMBB Services in 5G Networks[J]. ZTE Communications, 2021, 19(2): 82-90.

图/表 19

Figure 1 TTI for scheduling URLLC and eMBB UEs

Figure 2 An example of baseline cancellation indication (BCI) multiplexing method

Figure 3 Allocated resources to cell center UE and cell edge UE for baseline cancellation indication (BCI) method

Figure 4 Resource indicated by dynamic 2D bitmap

Table 1 Minimum indication granularity with different numbers of the occupied time domain occasions

BCI	the number of OTDOs	1–7
BCI	FDIG	1/4
DPCI	the number of OTDOs	1	2	3	4	5	6	7
DPCI	FDIG	1/21	≤1/10	1/7	≤1/5	≤1/4	≤1/3	1/3

Figure 5 Various situations of overlapping between the URLLC physical uplink shared channel (PUSCH) and the eMBB PUSCH

Figure 6 Time-frequency resource indication field

Table 2 Power boosting value according to actual overlapping resource proportion

Index	Actual Overlapping Resource Proportion x	Power Boosting/dB
0	x ≤ 10%	0
1	10% < x ≤ 40%	3
2	40% < x ≤ 80%	6
3	x > 80%	9

Figure 7 An example of dynamic selection

Figure 8 The dynamic selection procedure

Table 3 System-level simulation assumptions

Parameters	Value
Carrier frequency	4 GHz
Simulation bandwidth	40 MHz
SCS	30 kHz
Channel model	UMa in TR 38.901
Antenna configuration	4 receiving antenna ports 2 transmitting antenna ports
gNB receiver	MMSE-IRC
Cell load setup	K_eMBB: 5, 10, 20, K_URLLC: 5, 10, 20 $Ω = K U R L L C, K e M B B$
TTI configuration	URLLC: 2, 3, 4 OFDM symbols eMBB: 14 OFDM symbols
HARQ	Max number of transmissions=4 with target BLER=0.01%(URLLC) or 10%(eMBB)
Traffic model	eMBB: ? Packet arrival per UE: FTP Model 3 ? Packet size: 50–600 bytes URLLC: ? Packet arrival per UE: periodic with arrival rate of 1 packet per 2 ms ? Packet size: 32 bytes
UE distribution	80% of users are outdoors 20% of users are indoors
eMBB UE function configuration	90% of users support DPCI 10% of users do not support DPCI

Table 3 System-level simulation assumptions

Parameters	Value
Carrier frequency	4 GHz
Simulation bandwidth	40 MHz
SCS	30 kHz
Channel model	UMa in TR 38.901
Antenna configuration	4 receiving antenna ports 2 transmitting antenna ports
gNB receiver	MMSE-IRC
Cell load setup	K_eMBB: 5, 10, 20, K_URLLC: 5, 10, 20 $Ω = K U R L L C, K e M B B$
TTI configuration	URLLC: 2, 3, 4 OFDM symbols eMBB: 14 OFDM symbols
HARQ	Max number of transmissions=4 with target BLER=0.01%(URLLC) or 10%(eMBB)
Traffic model	eMBB: ? Packet arrival per UE: FTP Model 3 ? Packet size: 50–600 bytes URLLC: ? Packet arrival per UE: periodic with arrival rate of 1 packet per 2 ms ? Packet size: 32 bytes
UE distribution	80% of users are outdoors 20% of users are indoors
eMBB UE function configuration	90% of users support DPCI 10% of users do not support DPCI

Figure 9 Statistics of time domain occasions occupied by URLLC

Figure 10 Actual boosted power values

Figure 11 UPT of evolved mobile broadband (eMBB) transmission for BCI and DPCI

Figure 12 UPT of evolved mobile broadband (eMBB) transmission for BPC and ROPC

Table 4 Percentage of UE satisfying reliability and latency requirements for URLLC transmission in different multiplexing methods

Multiplexing Method	$Ω = 5,10$	$Ω = 10,10$	$Ω = 20,10$
No scheme/%	84.37	78.64	66.71
BCI/%	93.33	89.87	80.64
DPCI/%	93.27	89.64	80.62
BPC/%	87.78	83.97	73.84
ROPC/%	88.34	86.47	76.77

Table 4 Percentage of UE satisfying reliability and latency requirements for URLLC transmission in different multiplexing methods

Multiplexing Method	$Ω = 5,10$	$Ω = 10,10$	$Ω = 20,10$
No scheme/%	84.37	78.64	66.71
BCI/%	93.33	89.87	80.64
DPCI/%	93.27	89.64	80.62
BPC/%	87.78	83.97	73.84
ROPC/%	88.34	86.47	76.77

Figure 13 UPT of evolved mobile broadband (eMBB) transmission for BCI and the dynamic selection mechanism

Figure 14 UPT of evolved mobile broadband (eMBB) transmission for BPC and the dynamic selection mechanism

Table 5 Percentage of UE satisfying reliability and latency requirements for URLLC transmission in different baseline methods and the dynamic selection mechanism

Combination Case	$Ω = 5,10$	$Ω = 10,10$	$Ω = 20,10$
BCI/%	93.33	89.87	80.64
BPC/%	87.78	83.97	73.84
DPCI&&ROPC/%	96.14	92.99	84.38

Table 5 Percentage of UE satisfying reliability and latency requirements for URLLC transmission in different baseline methods and the dynamic selection mechanism

Combination Case	$Ω = 5,10$	$Ω = 10,10$	$Ω = 20,10$
BCI/%	93.33	89.87	80.64
BPC/%	87.78	83.97	73.84
DPCI&&ROPC/%	96.14	92.99	84.38

参考文献 17

1	ITU⁃R. IMT Vision: Framework and overall objectives of the future development of IMT for 2020 and beyond: ITU⁃R M.2083⁃0 [R]. 2015.
2	QI R Z, CHI X F, ZHAO L L, et al. Martingales⁃based ALOHA⁃type grant⁃free access algorithms for multi⁃channel networks with mMTC/URLLC terminals Co⁃existence [J]. IEEE access, 2020, 8: 37608–37620. DOI: 10.1109/ACCESS.2020.2975545 DOI URL
3	ALSENWI M, TRAN N H, BENNIS M, et al. eMBB⁃URLLC resource slicing: A risk⁃sensitive approach [J]. IEEE communications letters, 2019, 23(4): 740–743. DOI: 10.1109/LCOMM.2019.2900044 DOI URL
4	GIDLUND M, LENNVALL T, ÅKERBERG J. Will 5G become yet another wireless technology for industrial automation? [C]//2017 IEEE International Conference on Industrial Technology (ICIT). Toronto, Canada: IEEE, 2017: 1319–1324. DOI:10.1109/ICIT.2017.7915554 DOI URL
5	ITU⁃R. Minimum requirements related to technical performance for IMT⁃ 2020 radio interface(s): ITU⁃R M.2410⁃0 [R]. 2017
6	3GPP. Study on new radio (NR) access technology physical layer aspects: TR 38.802 [S]. 2017
7	POPOVSKI P, NIELSEN J J, STEFANOVIC C, et al. Wireless access for ultra⁃reliable low⁃latency communication: principles and building blocks [J]. IEEE network, 2018, 32(2): 16–23. DOI: 10.1109/MNET.2018.1700258 DOI URL
8	NIKBAKHT H, WIGGER M, SHITZ S S. Mixed delay constraints in Wyner’s soft⁃handoff network [C]//2018 IEEE International Symposium on Information Theory (ISIT). Vail, USA: IEEE, 2018: 1171–1175. DOI: 10.1109/ISIT.2018.8437572 DOI URL
9	ANAND A, DE VECIANA G, SHAKKOTTAI S. Joint scheduling of URLLC and eMBB traffic in 5G wireless networks [C]// IEEE Conference on Computer Communications. Honolulu, USA: IEEE, 2018: 1970–1978. DOI: 10.1109/INFOCOM.2018.8486430 DOI URL
10	KASSAB R, SIMEONE O, POPOVSKI P. Coexistence of URLLC and eMBB services in the C⁃RAN uplink: an information⁃theoretic study [C]//2018 IEEE global communications conference (GLOBECOM). Abu Dhabi, United Arab Emirates: IEEE, 2018: 1–6. DOI: 10.1109/GLOCOM.2018.8647460 DOI URL
11	KHAN H, BUTT M M, SAMARAKOON S, et al. Deep learning assisted CSI estimation for joint URLLC and eMBB resource allocation [C]//2020 IEEE international conference on communications workshops (ICC workshops). Dublin, Ireland: IEEE, 2020: 1–6. DOI:10.1109/ICCWorkshops49005.2020.9145297 DOI URL
12	YANG W, LI C P, FAKOORIAN A, et al. Dynamic URLLC and eMBB multiplexing design in 5G new radio[C]//2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC). Las Vegas, USA: IEEE, 2020: 1⁃5. DOI: 10.1109/CCNC46108.2020.9045687 DOI URL
13	MA T T, ZHANG Y, WANG F G, et al. Slicing resource allocation for eMBB and URLLC in 5G RAN [J]. Wireless communications and mobile computing, 2020, 2020: 1–11. DOI: 10.1155/2020/6290375 DOI URL
14	ESSWIE A A, PEDERSEN K I. Null space based preemptive scheduling for joint URLLC and eMBB traffic in 5G networks [C]//2018 IEEE Globecom Workshops. Abu Dhabi, United Arab Emirates: IEEE, 2018: 1–6. DOI:10.1109/GLOCOMW.2018.8644351 DOI URL
15	PEDERSEN K I, BERARDINELLI G, FREDERIKSEN F, et al. A flexible 5G frame structure design for frequency⁃division duplex cases [J]. IEEE communications magazine, 2016, 54(3): 53–59. DOI: 10.1109/MCOM.2016.7432148 DOI URL
16	TAVARES F M L, BERARDINELLI G, MAHMOOD N H, et al. On the impact of receiver imperfections on the MMSE⁃IRC receiver performance in 5G networks [C]//2014 IEEE 79th Vehicular Technology Conference (VTC Spring). Seoul, Korea (South): IEEE, 2014: 1–6. DOI: 10.1109/VTCSpring.2014.7023014 DOI URL
17	ESSWIE A A, PEDERSEN K I. Capacity optimization of spatial preemptive scheduling for joint URLLC⁃eMBB traffic in 5G new radio [C]//2018 IEEE Globecom Workshops. Abu Dhabi, United Arab Emirates. IEEE, 2018: 1–6. DOI: 10.1109/GLOCOMW.2018.8644070 DOI URL