An Efficient Rate-Splitting Multiple Access Scheme for the Downlink of C-RAN Systems

Yu, Daesung; Kim, Junbeom; Park, Seok-Hwan

doi:10.1109/lwc.2019.2927206

Cited by 59 publications

(52 citation statements)

References 15 publications

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“…They demonstrated the robustness of RS for imperfect CSIT, which allowed to increase the self-interference range for halfduplex communications. In [104], a simplified RSMA technique for cloud radio access networks (C-RAN) was presented, where the number of created common messages increased linearly in accordance with the number of users, rather than exponentially. Through simulation results, they showed the superiority of their technique compared to NOMA and SDMA.…”

Section: A Backgroundmentioning

confidence: 99%

Multiple Access in Aerial Networks: From Orthogonal and Non-Orthogonal to Rate-Splitting

Jaafar

Naser

Muhaidat

et al. 2020

IEEE Open J. Veh. Technol.

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Recently, interest on the utilization of unmanned aerial vehicles (UAVs) has aroused. Specifically, UAVs can be used in cellular networks as aerial users for delivery, surveillance, rescue search, or as an aerial base station (aBS) for communication with ground users in remote uncovered areas or in dense environments requiring prompt high capacity. Aiming to satisfy the high requirements of wireless aerial networks, several multiple access techniques have been investigated. In particular, space-division multiple access (SDMA) and power-domain non-orthogonal multiple access (NOMA) present promising multiplexing gains for aerial downlink and uplink. Nevertheless, these gains are limited as they depend on the conditions of the environment. Hence, a generalized scheme has been recently proposed, called rate-splitting multiple access (RSMA), which is capable of achieving better spectral efficiency gains compared to SDMA and NOMA. In this paper, we present a comprehensive survey of key multiple access technologies adopted for aerial networks, where aBSs are deployed to serve ground users. Since there have been only sporadic results reported on the use of RSMA in aerial systems, we aim to extend the discussion on this topic by modelling and analyzing the weighted sum-rate performance of a two-user network served by an RSMA-based aBS. Finally, related open issues and future research directions are exposed. Index Terms-Orthogonal multiple access (OMA), non-orthogonal multiple access (NOMA), rate-splitting multiple access (RSMA), unmanned aerial vehicle (UAV), survey. I. INTRODUCTION D UE to the unprecedented growth of mobile data traffic and stringent quality-of-service (QoS) requirements, recent research efforts have focused on several key enabling technologies for 5G networks and beyond [1], such as millimeter waves (mmWave), terahertz (THz) communications, multiple-input multiple-output (MIMO), massive MIMO, multiple access techniques, relaying, cognitive radio, and unmanned aerial networks [2]. In particular, unmanned aerial vehicles (UAVs) have demonstrated great potential in enabling new applications. For instance, UAVs can be used for aerial security inspection, traffic monitoring, smart agriculture, aerial delivery, etc. [3], [4] (and references therein). Furthermore, UAVs can be deployed as aerial base stations (aBSs) to provide wireless access to ground and aerial devices/users, in several scenarios such as temporary events, disasters when a terrestrial cellular network is not fully operational, and congestion due to unpredictable traffic surges, as well as aerial devices/users (e.g., cargo drones) [5], [6].

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Section: A Backgroundmentioning

confidence: 99%

Multiple Access in Aerial Networks: From Orthogonal and Non-Orthogonal to Rate-Splitting

Jaafar

Naser

Muhaidat

et al. 2020

IEEE Open J. Veh. Technol.

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“…Moreover, with its network architecture, C-RAN can handle RS techniques very efficiently, and the implementation of RS algorithms can be smoothly realized, with the help of cloud computing technologies. In this context, the authors in [43] investigate generalized RS in a C-RAN, which adopts a compression strategy in the downlink.…”

Section: Rs-cmd In a Practical Multi-cell Communication Scenario And mentioning

confidence: 99%

“…From ergodicity assumption of the channel distribution, and the law of large numbers the following holds [13,Theorem 7.48] where W is the feasible set for the beamforming vectors, determined with P Max n and given by the constraint (26b). That is (42) and (43) indicate that the SAA estimate of the rates converges to the ergodic rate uniformly on the compact set W with probability one as the sample size goes to infinity. By [13,Theorem 5.3], we conclude that the set of optimal solutions of problem P 1 (M ) converges uniformly to the the set of optimal solutions of problem P 0 with probability one as M → ∞, which completes the proof.…”

Section: Appendix Amentioning

confidence: 99%

Rate Splitting Multiple Access in C-RAN

Ahmad

Mao

Sezgin

et al. 2020

2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications

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Cloud radio access networks (C-RAN) enable a network platform for beyond the fifth generation of communication networks (B5G), which incorporates the advances in cloud computing technologies to modern radio access networks. Recently, rate splitting multiple access (RSMA), relying on multi-antenna rate-splitting (RS) at the transmitter and successive interference cancellation (SIC) at the receivers, has been shown to manage the interference in multi-antenna communication networks efficiently. This paper considers applying RSMA in C-RAN. We address the practical challenge of a transmitter that only knows the statistical channel state (CSI) information of the users. To this end, the paper investigates the problem of stochastic coordinated beamforming (SCB) optimization to maximize the ergodic sum-rate (ESR) in the network. Furthermore, we propose a scalable and robust RS scheme where the number of the common streams to be decoded at each user scales linearly with the number of users, and the common stream selection only depends on the statistical CSI. The setup leads to a challenging stochastic and non-convex optimization problem. A sample average approximation (SAA) and weighted minimum mean square error (WMMSE) based algorithm is adopted to tackle the intractable stochastic non-convex optimization and guarantee convergence to a stationary point asymptotically. The numerical simulations demonstrate the efficiency of the proposed RS strategy and show a gain up to 27% in the achievable ESR compared with state-of-the-art schemes, namely treating interference as noise (TIN) and non-orthogonal multiple access (NOMA) schemes. I. INTRODUCTION Current wireless networks are forecast to face a tremendous increase in the number of connected people and devices in the next years. Thus, the B5G of mobile wireless networks is expected to handle a massive amount of data-traffic mainly driven by applications providing

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“…RS-CMD provides a flexibility of partial interference cancellation and treating partial interference as a noise, and thus, it encompasses the advantages of the well-known multi-user transmission strategies, namely, non-orthogonal multiple access, space-division multiple access, orthogonal multiple access, and multicasting [23]. The problem of SE optimization for RS-CMD system was extensively studied for various wireless networking scenarios, such as, multi-user broadcast system [24], cloud-radio access network [25], cooperative network with user relaying [26], and aerial network [27]. Meanwhile, both EE maximization and EE-SE trade-off optimization for RS-CMD systems were studied in [28]- [30].…”

Section: A Related Workmentioning

confidence: 99%

Energy-Spectrum Efficient Content Distribution in Fog-RAN Using Rate-Splitting, Common Message Decoding, and 3D-Resource Matching

Hassan¹

2020

Preprint

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Multi-objective resource allocations are studied for a multi-level edge-caching enabled fog-radio access network. Notably, joint maximization of the energy-efficiency (EE) and spectrum-efficiency (EE) and interference management for the content distribution phase are investigated. In the envisioned system, the popular contents are cached at both the fog access point (F-AP) and fog user equipments (F-UEs), and the content-requesting devices are grouped into multiple device-clusters based on their locations. Using a rate-splitting with common message decoding based transmission strategy, each device-cluster is simultaneously served by a suitably selected F-UE and the F-AP over the same radio resource blocks. To maximize system EE and SE of the content distribution phase jointly, a multi-objective optimization problem (MOOP) is formulated. By using the $\epsilon$-constraint method, the proposed MOOP is converted to an EE-SE trade-off optimization problem. Leveraging iterative function evaluation based power control and generalized 3D-resource matching, a novel algorithm is devised to obtain near-optimal Pareto front for the proposed MOOP. By inspecting solutions over the Pareto optimal front, a suitable operating EE-SE pair and the corresponding resource allocation variables are obtained. A low-complexity algorithm to obtain a suitable EE-SE trade-off is also devised. The conducted simulations confirm that the proposed algorithms achieve substantial improvement of system EE and SE over the baseline schemes.

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An Efficient Rate-Splitting Multiple Access Scheme for the Downlink of C-RAN Systems

Cited by 59 publications

References 15 publications

Multiple Access in Aerial Networks: From Orthogonal and Non-Orthogonal to Rate-Splitting

Multiple Access in Aerial Networks: From Orthogonal and Non-Orthogonal to Rate-Splitting

Rate Splitting Multiple Access in C-RAN

Energy-Spectrum Efficient Content Distribution in Fog-RAN Using Rate-Splitting, Common Message Decoding, and 3D-Resource Matching

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