Beyond Dirty Paper Coding for Multi-Antenna Broadcast Channel With Partial CSIT: A Rate-Splitting Approach
Yijie Mao,Bruno Clerckx +1 more
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This work shows that linearly precoded Rate-Splitting (RS), relying on the split of messages into common and private parts and linear precoding at the transmitter, and successive interference cancellation at the receivers, can achieve larger rate region than DPC in multi-antenna BC with partial CSIT.Abstract:
Imperfect Channel State Information at the Transmitter (CSIT) is inevitable in modern wireless communication networks, and results in severe multi-user interference in multi-antenna Broadcast Channel (BC). While the capacity of multi-antenna (Gaussian) BC with perfect CSIT is known and achieved by Dirty Paper Coding (DPC), the capacity and the capacity-achieving strategy of multi-antenna BC with imperfect CSIT remain unknown. Conventional approaches therefore rely on applying communication strategies designed for perfect CSIT to the imperfect CSIT setting. In this work, we break this conventional routine and make two major contributions. First, we show that linearly precoded Rate-Splitting (RS), relying on the split of messages into common and private parts and linear precoding at the transmitter, and successive interference cancellation at the receivers, can achieve larger rate region than DPC in multi-antenna BC with partial CSIT. Second, we propose a novel scheme, denoted as Dirty Paper Coded Rate-Splitting (DPCRS), that relies on RS to split the user messages into common and private parts, and DPC to encode the private parts. We show that the rate region of DPCRS in Multiple-Input Single-Output (MISO) BC with partial CSIT is enlarged beyond that of conventional DPC and that of linearly precoded RS. Gaining benefits from the capability of RS to partially decode the interference and partially treat interference as noise, DPCRS is less sensitive to CSIT inaccuracies, networks loads and user deployments compared with DPC and other existing transmission strategies.read more
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Journal ArticleDOI
Is NOMA Efficient in Multi-Antenna Networks? A Critical Look at Next Generation Multiple Access Techniques
Bruno Clerckx,Yijie Mao,Robert Schober,Eduard A. Jorswieck,David J. Love,Jinhong Yuan,Lajos Hanzo,Geoffrey Ye Li,Erik G. Larsson,Giuseppe Caire +9 more
TL;DR: In this paper, the benefits of NOMA over Orthogonal Multiple Access (OMA) have been highlighted, and the authors highlight the design constraint that multi-antenna NOMAs require one user to fully decode the messages of the other users.
Journal ArticleDOI
Rate-Splitting Multiple Access: Fundamentals, Survey, and Future Research Trends
TL;DR: This paper presents the first comprehensive overview on RSMA by providing a survey of the pertinent state-of-the-art research, detailing its architecture, taxonomy, and various appealing applications, as well as comparing with existing MA schemes in terms of their overall frameworks, performance, and complexities.
Journal ArticleDOI
Rate-Splitting Multiple Access for Multigroup Multicast and Multibeam Satellite Systems
Longfei Yin,Bruno Clerckx +1 more
TL;DR: In this paper, a beamforming design problem to achieve max-min fairness among multiple co-channel multicast groups with imperfect channel state information at the transmitter (CSIT) was studied.
Journal ArticleDOI
Rate-Splitting Multiple Access: Fundamentals, Survey, and Future Research Trends
TL;DR: Rate-splitting multiple access (RSMA) has emerged as a novel, general, and powerful framework for the design and optimization of non-orthogonal transmission, multiple access, and interference management strategies for future wireless networks as mentioned in this paper .
Posted Content
Rate-Splitting Multiple Access for Multi-antenna Downlink Communication Systems: Spectral and Energy Efficiency Tradeoff
Gui Zhou,Yijie Mao,Bruno Clerckx +2 more
TL;DR: This work addresses the SE-EE tradeoff by studying the joint SE and EE maximization problem of RSMA in multiple input single output (MISO) BC with rate-dependent circuit power consumption at the transmitter withumerical results show that the algorithm converges much faster than existing algorithms.
References
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Journal ArticleDOI
Writing on dirty paper (Corresp.)
TL;DR: It is shown that the optimal transmitter adapts its signal to the state S rather than attempting to cancel it, which is also the capacity of a standard Gaussian channel with signal-to-noise power ratio P/N.
Journal ArticleDOI
On the achievable throughput of a multiantenna Gaussian broadcast channel
Giuseppe Caire,Shlomo Shamai +1 more
TL;DR: Under certain mild conditions, this scheme is found to be throughput-wise asymptotically optimal for both high and low signal-to-noise ratio (SNR), and some numerical results are provided for the ergodic throughput of the simplified zero-forcing scheme in independent Rayleigh fading.
Journal ArticleDOI
Capacity limits of MIMO channels
TL;DR: An overview of the extensive results on the Shannon capacity of single-user and multiuser multiple-input multiple-output (MIMO) channels is provided and it is shown that the capacity region of the MIMO multiple access and the largest known achievable rate region (called the dirty-paper region) for the M IMO broadcast channel are intimately related via a duality transformation.
Journal ArticleDOI
The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel
TL;DR: A new notion of an enhanced broadcast channel is introduced and is used jointly with the entropy power inequality, to show that a superposition of Gaussian codes is optimal for the degraded vector broadcast channel and that DPC is ideal for the nondegraded case.
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