A Primer on Rate-Splitting Multiple Access: Tutorial, Myths, and Frequently Asked Questions

Clerckx, Bruno; Mao, Yijie; Jorswieck, Eduard A.; Yuan, Jinhong; Love, David J.; Erkip, Elza; Niyato, Dusit

doi:10.1109/jsac.2023.3242718

Cited by 136 publications

(39 citation statements)

References 231 publications

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“…RS has been recognized as a promising interference management and multiple access scheme in the recent literature, e.g., [4], [9], [12]- [15]. For instance, the work [4] provides a comprehensive overview on RS multiple access including a survey of the related state-of-the-art, discussing various architectures and techniques, as well as providing future research directions in the field.…”

Section: B Related Workmentioning

confidence: 99%

“…For instance, the work [4] provides a comprehensive overview on RS multiple access including a survey of the related state-of-the-art, discussing various architectures and techniques, as well as providing future research directions in the field. Similarly, a recent tutorial paper on RS multiple access is provided by the authors in [12], where opportunities, multiple applications, and future network scenarios are discussed. The work [13] considers a multi-user multiple input single output (MISO) system under the RS strategy, where users decode parts of the interference, and shows increased data rate performance under RS.…”

Section: B Related Workmentioning

confidence: 99%

“…where B k is the set of BSs serving user k. The rationale behind (12) is that each BS's fronthaul link is occupied by all the data it transmits to its associated users. The ℓ 0 -norm of the beamforming vectors thus determines whether common (or private) data parts are forwarded over the fronthaul link.…”

Section: Transmissionmentioning

confidence: 99%

“…Initially, the mixed-integer nature of constraints (7) and (14e) are tackled using a heuristic ℓ 0 -norm approximation. Subsequently, SCA finds a convex upper-bound to tackle the non-convex nature of the relaxed fronthaul constraint, and we give an upper bound on the fronthaul delay (12). After introducing an auxiliary variable, FP decouples the nominator and denominator in (14a), (14b), (14e), and (14f).…”

Section: Proposed Solutionsmentioning

confidence: 99%

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Rate-Splitting and Common Message Decoding in Hybrid Cloud/Mobile Edge Computing Networks

Reifert

Dahrouj

Ahmad

et al. 2023

IEEE J. Select. Areas Commun.

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This paper proposes, and evaluates the benefits of, a hybrid central cloud (CC) and mobile edge computing (MEC) platform, especially introduced to balance the network resources for joint communication and computation. The transmission is further empowered by splitting the users' messages into private and common parts, to mitigate the interference within the CC and MEC platforms. While several power-hungry, computationallylimited unmanned aerial vehicles (UAVs) are deployed at the cell-edge to boost the CC connectivity and relieve part of its computation burden, the CC connects to the base-stations via capacity-limited fronthauls. The paper then considers the problem of maximizing the weighted sum-rate subject to fronthaul and computation capacity, achievable rates, power, delay, and data-split constraints. Thereby determining the beamforming vectors associated with the private and common messages, the computation allocations, and the data-split factors. Such intricate non-convex optimization problem is tackled using an iterative algorithm that relies on well-chosen discrete relaxation, successive convex approximation, and fractional programming, and can be compellingly implemented in a distributed fashion. The simulations illustrate the proposed algorithm's capabilities for empowering joint communication and computation, and highlight the pronounced role of rate-splitting and common message decoding in alleviating large-scale interference in hybrid CC/MEC networks.Index Terms-Rate-splitting, central cloud, mobile edge computing, hybrid networks, unmanned aerial vehicles. I. INTRODUCTION A. MotivationToday's Internet of Things (IoT) applications involve many relevant consumer and industry use cases, e.g., smart cities,

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Section: B Related Workmentioning

confidence: 99%

Section: B Related Workmentioning

confidence: 99%

Section: Transmissionmentioning

confidence: 99%

Section: Proposed Solutionsmentioning

confidence: 99%

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Rate-Splitting and Common Message Decoding in Hybrid Cloud/Mobile Edge Computing Networks

Reifert

Dahrouj

Ahmad

et al. 2023

IEEE J. Select. Areas Commun.

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“…As radio frequency signals carry both information and energy, simultaneous wireless information and power transfer (SWIPT), which concurrently transmits information to the information receivers (IRs) and provides energy for wireless charging for energy receivers (ERs), has become a feasible solution to achieve ubiquitous and self-sustainable wireless communications for future ultra-dense networks with short communication distances [1]. Meanwhile, as a promising interference management and powerful multiple access technique for 6G, rate-splitting multiple access (RSMA) has significant advantages in improving the system performance in terms of spectral efficiency (SE), energy efficiency (EE), quality of service (QoS), user fairness, robustness against user mobility and channel state information imperfection, etc [2], [3], [4]. In a practical RSMA model with 1-layer common stream (also known as 1-layer rate-splitting) [3], each user message is split into a common part and a private part.…”

Section: Introductionmentioning

confidence: 99%

Reconfigurable Intelligent Surface Empowered Rate-Splitting Multiple Access for Simultaneous Wireless Information and Power Transfer

Chengzhong¹,

Mao²,

Zhao³

et al. 2023

Preprint

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Rate-splitting multiple access (RSMA) and reconfigurable intelligent surface (RIS) have been both recognized as promising techniques for 6G. The benefits of combining the two techniques to enhance the spectral and energy efficiency have been recently exploited in communication-only networks. Inspired by the recent advances on RIS empowered RSMA, in this work we investigate the use of RIS empowered RSMA for simultaneous wireless information and power transfer (SWIPT) with one transmitter concurrently sending information to multiple information receivers (IRs) and transferring energy to multiple energy receivers (ERs). Specifically, we jointly optimize the transmit beamformers and the RIS reflection coefficients to maximize the weighted sum-rate (WSR) of IRs under the harvested energy constraint of ERs and the transmit power constraint. An alternating optimization and successive convex approximation (SCA)-based optimization framework is then proposed to solve the problem. Numerical results show that by marrying the benefits of RSMA and RIS, the proposed RIS empowered RSMA achieves a better tradeoff between the WSR of IRs and energy harvested at ERs. Therefore, we conclude that RIS empowered RSMA is a promising strategy for SWIPT.Index Terms-Simultaneous wireless information and power transfer (SWIPT), reconfigurable intelligent surface (RIS), rate splitting multiple access (RSMA), weighted sum-rate (WSR).

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Green Rate‐Splitting Multiple Access for Multicell and Rate Fairness Maximization

Hu,

Kumari,

Amoon

et al. 2024

Int J Communication

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This paper investigates the green design of rate‐splitting multiple access (RSMA) for multicell, multiantenna downlink communication systems to maximize rate fairness under quality of service (QoS) constraints. An optimization framework is developed to minimize the weighted sum power consumption by jointly optimizing transmit beamformers, power allocation, and common/private rate split while ensuring per‐user minimum rate requirements. The algorithm design explicitly considers the rate fairness among users via a newly proposed green fairness index. The nonconvex transceiver design problems are transformed into tractable forms and efficiently solved by applying tools from alternating optimization and successive convex approximation. Extensive simulations demonstrate that the proposed green RSMA optimization framework can effectively balance the throughput among cell‐edge and cell‐center users, hence combating the near‐far effect. Simulation results show that at 20‐dB SNR, green RSMA achieves over 20% and 50% sum rate improvement compared with NOMA and OMA, respectively. Moreover, green RSMA maintains high fairness among users, even when the channel conditions are disparate. When the weakest user is located 120 m from the base station, green RSMA exhibits a 21.2% higher fairness index than NOMA, showcasing its ability to ensure equitable service quality across users. The framework also achieves substantial energy efficiency gains, consuming less power while providing higher data rates than baseline schemes. These results demonstrate the effectiveness of green RSMA in enhancing spectral efficiency, user fairness, and energy efficiency in multicell, multiantenna communication systems, making it a promising solution for sustainable and high‐performance wireless networks.

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A Primer on Rate-Splitting Multiple Access: Tutorial, Myths, and Frequently Asked Questions

Cited by 136 publications

References 231 publications

Rate-Splitting and Common Message Decoding in Hybrid Cloud/Mobile Edge Computing Networks

Rate-Splitting and Common Message Decoding in Hybrid Cloud/Mobile Edge Computing Networks

Reconfigurable Intelligent Surface Empowered Rate-Splitting Multiple Access for Simultaneous Wireless Information and Power Transfer

Green Rate‐Splitting Multiple Access for Multicell and Rate Fairness Maximization

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