Flexible Multiple Access Enabling Low-Latency Communications: Introducing NOMA-R

Bello, Mouktar; Wang, Yu; Pischella, Mylène; Chorti, Arsenia; Fijalkow, Inbar; Musavian, Leila

doi:10.48550/arxiv.2001.10637

Cited by 2 publications

(2 citation statements)

References 12 publications

(20 reference statements)

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“…Energy-efficient transmission in uplink NOMA is studied in [ 41 ] under statistical delay constraints, where probabilistic upper bounds on queuing delays of NOMA are characterized. Resorting to the concept of effective capacity, the study in [ 42 ] proposes an optimized hybrid approach between non-orthogonal multiple access and orthogonal multiple access with different user pairing techniques in order to maximize the effective capacity under stringent delay constraints. Contention-based modified NOMA for uplink access is studied in [ 43 ], showing that exploiting collisions in the power domain can greatly reduce access delay.…”

Section: Introductionmentioning

confidence: 99%

Broadcast Approach to Uplink NOMA: Queuing Delay Analysis

Zohdy

Tajer

Shamai

2022

Entropy

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Emerging wireless technologies are envisioned to support a variety of applications that require simultaneously maintaining low latency and high reliability. Non-orthogonal multiple access techniques constitute one candidate for grant-free transmission alleviating the signaling requirements for uplink transmissions. In open-loop transmissions over fading channels, in which the transmitters do not have access to the channel state information, the existing approaches are prone to facing frequent outage events. Such outage events lead to repeated re-transmissions of the duplicate information packets, penalizing the latency. This paper proposes a multi-access broadcast approach in which each user splits its information stream into several information layers, each adapted to one possible channel state. This approach facilitates preventing outage events and improves the overall transmission latency. Based on the proposed approach, the average queuing delay of each user is analyzed for different arrival processes at each transmitter. First, for deterministic arrivals, closed-form lower and upper bounds on the average delay are characterized analytically. Secondly, for Poisson arrivals, a closed-form expression for the average delay is delineated using the Pollaczek-Khinchin formula. Based on the established bounds, the proposed approach achieves less average delay than single-layer outage approaches. Under optimal power allocation among the encoded layers, numerical evaluations demonstrate that the proposed approach significantly minimizes average sum delays compared to traditional outage approaches, especially under high arrival rates.

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Section: Introductionmentioning

confidence: 99%

Broadcast Approach to Uplink NOMA: Queuing Delay Analysis

Zohdy

Tajer

Shamai

2022

Entropy

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“…This strategy was shown to be more efficient than state-ofthe-art ones [7], [19] in order to minimize latency. It has also been used to achieve stringent QoS delay constraints when maximizing the effective capacity in [28]. NOMA-Relevant is however not applicable without full CSIT knowledge, and it assumes that users would transmit all the time, independently of their achieved data rates, which may lead to low instantaneous data rates and some waste of users battery.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Uplink Adaptive NOMA Depending on Channel Knowledge

Pischella,

Stupia,

Vandendorpe

2020

Preprint

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Non Orthogonal Multiple Access (NOMA) is a key technique to satisfy large users densities in future wireless networks. However, NOMA may provide poor performance compared to Orthogonal Multiple Access (OMA) due to inter-user interference. In this paper, we obtain closed-form expressions of the uplink NOMA and OMA throughputs when no Channel State Information at Transmitter (CSIT) is available, and of the average data rates assuming that instantaneous rates should be larger than a minimum threshold when full CSIT is available. Analytical comparisons of OMA and NOMA prove that there is no global dominant strategy valid in all situations. Based on this conclusion, we propose a new multiple-access (MA) strategy called NOMA-Adaptive (NOMA-A) that selects the best MA technique between OMA and NOMA. NOMA-A aims at maximizing the sum throughput in the no CSIT case, and the probability that both users are active in the full CSIT case. NOMA-A is shown to outperform the other strategies in terms of sum throughput and rate.

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Flexible Multiple Access Enabling Low-Latency Communications: Introducing NOMA-R

Cited by 2 publications

References 12 publications

Broadcast Approach to Uplink NOMA: Queuing Delay Analysis

Broadcast Approach to Uplink NOMA: Queuing Delay Analysis

Performance Analysis of Uplink Adaptive NOMA Depending on Channel Knowledge

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