Joint Link Adaptation and Resource Allocation for Uplink in 3GPP Machine-Type Communications

M., Pavan Reddy and Kumar, Abhinav and Kuchi, Kiran (2022) Joint Link Adaptation and Resource Allocation for Uplink in 3GPP Machine-Type Communications. In: 14th International Conference on COMmunication Systems and NETworkS, COMSNETS 2022, 4 January 2022 through 8 January 2022, Bangalore.

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Enhanced Machine-Type Communications (eMTC) is a low-power wide-area network technology introduced by the 3rd Generation Partnership Project (3GPP). The eMTC devices are of low cost and can operate in poor signal coverage areas. To ensure successful transmission in such scenarios, 3GPP has adopted the repetition of data over time. In 4G-LTE/5G-NR, the resource allocation and link adaptation are one-dimensional problems where the modulation and coding scheme (MCS) is either incremented or decremented over time. However, in eMTC, there exists a two-dimensional problem, as the base station can update either MCS or repetitions. Further, the base station has to consider the devices' limited transmit power while allocating resources in the uplink. An optimal selection of these values has a significant impact on the network capacity and the devices' battery power. Motivated by this, we present novel resource allocation, link adaptation, and scheduling algorithms for the eMTC uplink. We show that the proposed algorithms result in a suitable selection of resource blocks, MCS, repetition levels, and link adaptation. To reduce the computation load, we also propose a low-complexity sub-optimal scheduling algorithm. Through system-level simulations, we show that all the proposed algorithms significantly outperform the state-of-the-art algorithms. © 2022 IEEE.

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IITH Creators:
IITH CreatorsORCiD
Kumar, Abhinav
Kuchi, Kiran
Item Type: Conference or Workshop Item (Paper)
Additional Information: In this paper, we have derived bounds for optimal resource allocation in eMTC uplink. We have then proposed a joint resource allocation and link adaptation algorithm. We have shown that the proposed algorithms select optimal values of code rates, resource blocks, and link adaptation. We have formulated the scheduling of devices in eMTC uplink as an optimization problem. Further, to reduce the computational load, a low-complex sub-optimal algorithm is also presented. For the evaluation, we have extended the existing algorithms in literature to suit the eMTC uplink scenario. We have then performed exhaustive system-level simulations and have shown that all the proposed algorithms outperform the state-of-the-art algorithms. In the future, we plan to implement and validate the proposed algorithms on the hardware testbeds. VII. ACKNOWLEDGEMENTS This work was supported in part by the DST NMICPS Technology Innovation Hub On Autonomous Navigation Foundation (TiHAN IIT Hyderabad) through TiHAN Faculty Fellowship of Dr. Abhinav Kumar.
Uncontrolled Keywords: eMTC; link adaptation; power control; scheduling
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 25 Jul 2022 07:02
Last Modified: 25 Jul 2022 07:02
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