2021
DOI: 10.1109/tcomm.2020.3040409
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Capacity Approaching Low Density Spreading in Uplink NOMA via Asymptotic Analysis

Abstract: Low-density spreading non-orthogonal multiple-access (LDS-NOMA) is considered where K singleantenna user-equipments (UEs) communicate with a base-station (BS) over F fading sub-carriers.Each UE k spreads its data symbols over d k < F sub-carriers. We aim to identify the LDS-code allocations that maximize the ergodic mutual information (EMI). The BS assigns resources solely based on pathlosses. Conducting analysis in the regime where F , K, and d k , ∀k converge to +∞ at the same rate, we present EMI as a deter… Show more

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Cited by 6 publications
(4 citation statements)
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“…An alternative proof based on Replica method is also given in [22]. The convergence rate can be obtained using Nash-Poincaré inequality [23] as in the extended version of this work in [24], or alternatively, using the results in [25] by properly scaling the channel entries' variances while ensuring the assumptions therein remain valid.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…An alternative proof based on Replica method is also given in [22]. The convergence rate can be obtained using Nash-Poincaré inequality [23] as in the extended version of this work in [24], or alternatively, using the results in [25] by properly scaling the channel entries' variances while ensuring the assumptions therein remain valid.…”
Section: Discussionmentioning
confidence: 99%
“…Since, all other UEs also have the same preference, the condition in (7b) and (7c) are satisfied only if UEs assign their powers such that r f = r, ∀f . It is shown in [24] that r is unique, i.e., r = r * , for any solution satisfying (7).…”
Section: A the Optimal Spreading Codes In Asymptotic Regimementioning
confidence: 99%
“…Notwithstanding their great practical promise and potential, sparse NOMA techniques often pose serious analytical challenges and their information-theoretic performance limits are not easily tractable even in the simplest settings. Typically, tools from random matrix theory or statistical physics are harnessed for their analysis [ 29 , 30 , 31 , 32 ], while considering the asymptotic large-system limit, where both the number of users and the number of available resources grow large, while retaining a fixed ratio (see, e.g., [ 33 , 34 , 35 ]). The obtained results typically yield excellent approximations for the expected performance with finite (and quite moderate) system dimensions [ 29 , 30 ].…”
Section: Introductionmentioning
confidence: 99%
“…b) Low-density spreading (LDS) [16,17]. Extends the DS format by forcing zeros in some dimensions of the previous spreading codes.…”
Section: Relevant Aspects Of Satellite Communications Technologymentioning
confidence: 99%