Power and Discrete Rate Adaptation in Wideband NOMA in Frequency-Selective Channels: A Systematic Approach

Sruthy, S and Sruthy, NB (2023) Power and Discrete Rate Adaptation in Wideband NOMA in Frequency-Selective Channels: A Systematic Approach. In: 2023 IEEE International Conference on Communications, ICC 2023, 28 May 2023 - 1 June 2023, Rome, pp. 5334-5339.

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Abstract

Non-orthogonal multiple access (NOMA) superimposes signals of multiple users and transmits them simultaneously. To be implementable in 5G and beyond cellular systems, it must adhere to the constraint imposed by the standard that the same modulation and coding scheme (MCS) and power must be used across all physical resource blocks (PRBs) assigned to the users. However, the channel gains of different PRBs are different in wideband channels and the MCSs must belong to a discrete, pre-specified set. We propose a method that uses the exponential effective signal-to-noise ratio mapping (EESM) to systematically determine whether a feasible power allocation exists for a given choice of MCSs, and to find the MCSs that maximize the weighted sum rate. We then propose a novel, lower complexity method called power-normalized EESM, which leads to explicit analytical criteria for the existence of a feasible power allocation. We prove that this method is a relaxation of the original problem under various conditions and is exact for narrowband channels. Wideband NOMA achieves a higher average weighted sum rate than orthogonal multiple access, which is employed by 5G. © 2023 IEEE.

Item Type:	Conference Paper
Publication:	IEEE International Conference on Communications
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	Exponentials; Frequency selective channel; Multiple access; Non-orthogonal; Physical resource blocks; Power; Power allocations; Rate-adaptation; Weighted sum-rate; Wide-band, Signal to noise ratio
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	28 Feb 2024 11:52
Last Modified:	28 Feb 2024 11:52
URI:	https://eprints.iisc.ac.in/id/eprint/83806

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