Rate-Splitting Multiple Access With Finite Blocklength for Short-Packet and Low-Latency Downlink Communications

Xu, Yunnuo; Mao, Yijie; Dizdar, Onur; Clerckx, Bruno

doi:10.1109/tvt.2022.3191085

Cited by 44 publications

(18 citation statements)

References 17 publications

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“…The target BLER is considered as

1{0}^{-5}

. Due to SIC , NOMA related target BLER is set as

{\epsilon}_N=5\cdotp 1{0}^{-6}

, so that overall system target BLER is ensured 46 . A cellular model which is considered by Choi et al 22 in a study for satisfying latency constraints under energy efficiency objective in IoT networks with Hybrid MA, is used in this paper.…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

“…Due to SIC , NOMA related target BLER is set as 𝜖 N = 5 ⋅ 10 −6 , so that overall system target BLER is ensured. 46 A cellular model which is considered by Choi et al 22 in a study for satisfying latency constraints under energy efficiency objective in IoT networks with Hybrid MA, is used in this paper. A channel model for IoT applications in urban areas 22,47 is used in this study.…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

“…TA B L E 3 Simulation parameters and default values. 22,46,47 V (Weight parameter) 100 • Hybrid-MA (H-MA): Optimal power assignment for Hybrid MA is considered. The content of "Hybrid" consists of the NOMA and OMA using (33) and Theorem 1, respectively.…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

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Satisfying strict deadlines for cellular Internet of Things through hybrid multiple access

Gamgam

Karasan

2023

Trans Emerging Tel Tech

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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 are dropped from the buffer. 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. Moreover, we propose a flexible packet dropping mechanism called Early Packet Dropping (EPD) to detect likely to become expired packets and drop them immediately. Numerical results show that Hybrid MA improves the timely throughput compared to conventional OMA by up to 46%$$ 46\% $$ and on average by more than 21%$$ 21\% $$. With EPD, these timely throughput gains improve to 53%$$ 53\% $$ and 24.5%$$ 24.5\% $$, respectively.

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“…The target BLER is considered as

1{0}^{-5}

. Due to SIC , NOMA related target BLER is set as

{\epsilon}_N=5\cdotp 1{0}^{-6}

Section: Numerical Results and Discussionmentioning

confidence: 99%

Section: Numerical Results and Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Satisfying strict deadlines for cellular Internet of Things through hybrid multiple access

Gamgam

Karasan

2023

Trans Emerging Tel Tech

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show abstract

“…In [86], optimal linear precoders are used in block lengths minimum strategy to reduce latency with a high transmission rate. Emulation consequences demonstrate that the Rate-Splitting Multiple Access (RSMA) method attains significant performance improvements in the URLLC system.…”

Section: ) Latency-ratementioning

confidence: 99%

Toward Efficient 6G IoT Networks: A Perspective on Resource Optimization Strategies, Challenges, and Future Directions

Liwen,

Qamar,

Liaqat

et al. 2024

IEEE Access

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The next generation (6G) wireless communication technology has super advantages in high transmission rates scenarios. Internet of Things (IoT) has been applied in recent years due to its wide connection. However, effective resource optimization methods must be analyzed to meet the high requirements of key performance indicators in 6G wireless IoT networks. This paper discusses a general investigation of the resource optimization strategies in the 6G IoT system. The study aims to find the main solutions to optimize 6G IoT network performance. First, an overall summary of current research is preferred resource optimization in latency, reliability, Energy Efficiency (EE), Spectrum Efficiency (SE), bandwidth utilization efficiency, rate, and power efficiency. Second, we propose the multi-indicator tradeoff strategies associated with the latest resource optimization approaches and investigate optimal strategies. Furthermore, we show the limitations of the current resource optimization methods and discuss the future works of resource optimization for IoT devices in 6G communication. Our survey aims to help researchers optimize 6G IoT network performance using advanced techniques.

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“…More recently, rate-splitting multiple access (RSMA) has become a promising technology to enhance the spectrum and energy efficiency, low latency, and high reliability of both downlink and uplink communication systems [14][15][16]. In uplink RSMA, all the split streams are fully decoded at the base station (BS) [17].…”

Section: Introductionmentioning

confidence: 99%

Delay Minimization Using Hybrid RSMA-TDMA for Mobile Edge Computing

Xiao

Chen

et al. 2023

Electronics

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Rate-splitting multiple access (RSMA) has recently received attention due to its benefits in both spectral and energy efficiencies. In this paper, we propose a hybrid RSMA-time-division multiple access (TDMA) scheme for a mobile edge computing (MEC) system, where two edge users need to offload their task data to a MEC server. In the proposed scheme, the offloading time is divided into two time phases. Specifically, we design a cognitive radio (CR)-inspired RSMA scheme, in which two users, namely the primary user and secondary user, offload their task data to the MEC server in the first time phase, while only a single user can offload task data in the second time phase. With the aim of minimizing the overall offloading delay, we formulate the offloading delay minimization problem subject to the transmit power and total energy constraints. We transform the original fractional programming non-convex problem to a convex one by using the Dinkelbach transform and propose Dinkelbach and Newton iterative algorithms to determine the optimal transmit power allocation. Specifically, we establish the optimization criteria for the three offloading schemes and derive the corresponding closed-form expressions for the optimal power allocation. Compared to the existing offloading schemes, the numerical results show that the proposed hybrid RSMA-TDMA scheme in scenarios where having a limited energy budget is superior in offloading delay compared to other offloading schemes and the sum offloading delay tends to a constant with the increase in the energy budget.

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Rate-Splitting Multiple Access With Finite Blocklength for Short-Packet and Low-Latency Downlink Communications

Cited by 44 publications

References 17 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

Toward Efficient 6G IoT Networks: A Perspective on Resource Optimization Strategies, Challenges, and Future Directions

Delay Minimization Using Hybrid RSMA-TDMA for Mobile Edge Computing

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