| 摘要(英) |
The 5G New Radio (NR) network is developing to accommodate various business requirements and offer extensive coverage to a substantial user population. To handle the growth of traffic, the mini-meter Wave (mmWave) band is utilized, in which the Subcarrier Spacing (SCS) is increased due to the characteristic of high-frequency band. As consequence, the time slot of radio resource scheduling is decreased. The change becomes a new challenge to the scheduling design in the next generation Node B (gNB)。
This thesis proposes that all User Equipment (UE) schedules their uplink transmission in coordinated and distributed manners in order to reduce the scheduling loading in the gNB. To realize it, the essential scheduling information of the scheduler, such as 5G QoS Identifier (5QI), Buffer Status Report (BSR) and other transmission control information, is encapsulated into the Downlink Scheduling Information (DSI). The DSI is sent to the corresponding UEs for performing distributed scheduling by restoring the essential scheduling information required for the scheduler. Every UE preforms scheduling will obtain the same scheduling result, i.e., the Downlink Control Information (DCI) of corresponding UEs, as that derived by the gNB. A UE retrieving the corresponding DCI from the scheduling result looks like it receives the DCI sent from the gNB. As the gNB does not involve the scheduling, the information about the UL resource used by a UE is needed to be encapsulated into an Uplink Scheduling Information (USI) and sent from UE to gNB before UL transmission, in order to make sure that gNB is able to receive the UL data transmitted from UE.
Finally, the open-source program OpenAirInterface5G (OAI) is used in this study for validating the feasibility of the proposed distributed scheduler in 5G NR. By moving the scheduler from the gNB to the UE, the UE based distributed scheduler is put into practice. |
| 參考文獻 |
[1] 3GPP TS 23.501 “5G; NR; System architecture for the 5G System (5GS),” v17.7.0, Jan. 2023.
[2] 3GPP TS 38.101-1 “5G; NR; User Equipment (UE) radio transmission and reception; Part 1: Range 1 Standalone,” v17.6.0, Aug. 2022.
[3] 3GPP TS 38.101-2 “5G; NR; User Equipment (UE) radio transmission and reception; Part 2: Range 2 Standalone,” v17.8.0, Jan. 2023.
[4] 3GPP TS 38.300 “5G; NR; NR and NG-RAN Overall description; Stage-2,” v17.1.0, Aug. 2022.
[5] 3GPP TS 38.211 “5G; NR; Physical channels and modulation,” v17.2.0, Jul. 2022.
[6] 3GPP TS 38.214 “5G; NR; Physical layer procedures for data,” v17.2.0, Jul. 2022.
[7] 3GPP TS 38.213 “5G; NR; Physical layer procedures for control,” v17.2.0, Jul. 2022.
[8] 3GPP TS 38.321 “5G; NR; Medium Access Control (MAC) protocol specification,” v17.1.0, Aug. 2022.
[9] 3GPP TS 38.331 “5G; NR; Radio Resource Control (RRC); Protocol specification,” v17.1.0, Aug. 2022.
[10] O. Beaumont and L. Carter. Centralized versus Distributed Schedulers For Multiple Bag-of-Task Applications. In Parallel and Distributed Processing Symposium, 2006. IPDPS 2006. 20th International, pages 10 pp.–, April 2006.
[11] S. Wu and Y. Qi, “Centralized and distributed schedulers for non-coherent joint transmission,” in Proc. IEEE Globecom Workshops, Dec. 2018, pp. 1–6.
[12] Sarabjot Singh, Shu-ping Yeh, Nageen Himayat and Shilpa Talwar “Optimal Traffic Aggregation in Multi-RAT Heterogeneous Wireless Networks,” in IEEE International Conference on Communications Workshops, May 2016.
[13] Fei Hu, Kunal Mehta, Shivakant Mishra and Mohammad AlMutawa “A Dynamic Distributed Scheduler for Computing,” arXiv:2308.06806 [cs.DC], 2023.
[14] R. P. Antonioli, J. Pettersson, and T. F. Maciel, “Split responsibility scheduler for multi-connectivity in 5G cellular networks,” IEEE Netw., vol. 34, no. 6, pp. 212–219, Nov./Dec. 2020.
[15] OpenAirInterface5G, Gitlab Open Source, https://gitlab.eurecom.fr/oai/openairinterface5g
[16] Robert Schmidt, “Slicing in heterogeneous software-defined radio access networks,” Networking and Internet Architecture [cs.NI]. Sorbonne Université, 2021. English, NNT: 2021SORUS525, tel- 03783488.
[17] Ettus Research, USRP B210, https://www.ettus.com/all-products/ub210-kit/
[18] K. Koutlia, B. Bojovic, S. Lag´en, X. Zhang, P. Wang, and J. Liu,“System analysis of qos schedulers for xr traffic in 5g nr,” SimulationModelling Practice and Theory, vol. 125, p. 102745, 2023. |
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