Timely Information Update With Nonorthogonal Multiple Access

Pan, Haoyuan; Liang, Jiaxin; Liew, Soung Chang; Leung, Victor C. M.; Li, Jianqiang

doi:10.1109/tii.2020.3006061

Cited by 30 publications

(15 citation statements)

References 25 publications

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“…In 18,29 , the potential of NOMA is investigated for information freshness along with increased system connectivity. In 19 , NOMA is considered for the task of timely information updates. In 20 , Hybrid MA is considered for AoI.…”

Section: Related Workmentioning

confidence: 99%

“…The focus of this study is to maximize timely throughput using Hybrid MA for cellular IoT applications. Although, the potential of Hybrid MA is widely studied in the scope of information freshness 18,19,20,21 , to the best of our knowledge, there is a lack of study on Hybrid MA in the scope of timely throughput for cellular IoT applications.…”

Section: Introductionmentioning

confidence: 99%

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Satisfying Strict Deadlines for Cellular Internet of Things through Hybrid Multiple Access

Gamgam

Karasan

2022

Preprint

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Latency-constrained aspects of cellular Internet of Things (IoT) applications rely on Ultra-Reliable and Low Latency Communications (URLLC) which highlight research on satisfying strict deadlines. In this study, we address the problem of latency constrained communications with strict deadlines under average power constraint using Hybrid Multiple Access (MA) which consists of both Orthogonal MA (OMA) and power domain Non-Orthogonal MA (NOMA) as transmission scheme options. We aim to maximize the timely throughput, which represents the average number of successfully transmitted packets before deadline expiration, where expired packets still waiting in the buffer are dropped. We use Lyapunov stochastic optimization methods to develop a dynamic power assignment algorithm for minimizing the packet drop rate while satisfying time average power constraints. Numerical results show that Hybrid MA improves the timely throughput compared to conventional OMA by up to 46% and on the average by more than 21% while satisfying average power constraints.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Satisfying Strict Deadlines for Cellular Internet of Things through Hybrid Multiple Access

Gamgam

Karasan

2022

Preprint

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“…AoI-independent OMA and NOMA scheduling schemes based on the instantaneous channel gain have been proposed in [4]. Physical layer network coding enabled NOMA has been proposed in [5] to minimize AoI. In contrast to these works, [6] and [7] have proposed AoI-independent scheduling schemes for NOMA in decentralized setting of slotted ALOHA and grant-free massive access, respectively.…”

Section: Introductionmentioning

confidence: 99%

NOMA Versus OMA: Scheduling to Minimize the Age of Information

Agarwal¹,

Moharir²

2023

Preprint

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“…A hybrid NOMA/OMA scheme was proposed in [16], in which the BS can adaptively switch between NOMA and OMA for the downlink transmission to minimize the AoI and a suboptimal policy called action elimination with lower computation complexity was also proposed. A uplink NOMA system combining physical-layer network coding (PNC) and multiuser decoding (MUD) was considered in [18]. In [19], the authors proposed an an adaptive AoI-aware buffer-aided transmission scheme (ABTS) on downlink communication system to improve AoI performance of a downlink NOMA system.…”

Section: Introductionmentioning

confidence: 99%

How to Minimize the Weighted Sum AoI in Multi-Source Status Update Systems: OMA or NOMA?

Wang¹,

Qiao²

2022

Preprint

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In this paper, the minimization of the weighted sum average age of information (AoI) in a multisource status update communication system is studied. Multiple independent sources send update packets to a common destination node in a time-slotted manner under the limit of maximum retransmission rounds. Different multiple access schemes, i.e., orthogonal multiple access (OMA) and non-orthogonal multiple access (NOMA) are exploited here over a block-fading multiple access channel (MAC). Constrained Markov decision process (CMDP) problems are formulated to describe the AoI minimization problems considering both transmission schemes. The Lagrangian method is utilised to convert CMDP problems to unconstraint Markov decision process (MDP) problems and corresponding algorithms to derive the power allocation policies are obtained. On the other hand, for the case of unknown environments, two online reinforcement learning approaches considering both multiple access schemes are proposed to achieve near-optimal age performance. Numerical simulations validate the improvement of the proposed policy in terms of weighted sum AoI compared to the fixed power transmission policy, and illustrate that NOMA is more favorable in case of larger packet size. 2 networks and disaster monitoring and alerting systems, strictly guaranteeing the timeliness of information updates is crucial since outdated information might become worthless. From the perspective of system, the knowledge of the status of a remote sensor or system requires to be as timely as possible, so the timeliness of state updates has evolved into a new field of network research [3]. To characterize such information timeliness and freshness, the metric termed age of information (AoI), typically defined as the time elapsed since the most recent successfully received system information was generated at the source, has been proposed [4].Most of the earlier work on AoI in various networks mainly consider simple single-source single-destination status update system models (see, e.g., [4]-[8]), while recent researches related to AoI optimization have shifted to more practical multi-source and/or multi-destination systems and most of them involve orthogonal multiple access (OMA) technique [9]-[14]. For instance, the authors in [9] considered a system model in which a central controller collects data from multiple sensors via wireless links and the AoI optimization problem is subject to both bandwidth and power consumption constraints. Besides, in [9], a truncated scheduling policy was proposed to satisfy the hard bandwidth constraint. The work in [10] presented two multi-source information update problems in a practical IoT system, called AoI-aware Multi-Source Information Updating (AoI-MSIU) and AoI-Reduction-aware Multi-Source Information Updating (AoIR-MSIU) problems,respectively. A wireless broadcast network with random arrivals was considered in [11], where two offline and two online scheduling algorithms were proposed, leveraging Markov decision process (MDP) techniques and the ...

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Timely Information Update With Nonorthogonal Multiple Access

Cited by 30 publications

References 25 publications

Satisfying Strict Deadlines for Cellular Internet of Things through Hybrid Multiple Access

Satisfying Strict Deadlines for Cellular Internet of Things through Hybrid Multiple Access

NOMA Versus OMA: Scheduling to Minimize the Age of Information

How to Minimize the Weighted Sum AoI in Multi-Source Status Update Systems: OMA or NOMA?

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