Rate splitting for MIMO wireless networks: a promising PHY-layer strategy for LTE evolution

By Bruno Clerckx, Hamdi Joudeh, Chenxi Hao, Mingbo Dai, Borzoo Rassouli. IEEE Communications Magazine, 2016

428 citations recorded by the source corpus.

MIMO processing plays a central part in the recent increase in spectral and energy efficiencies of wireless networks. MIMO has grown beyond the original point-to-point channel and nowadays refers to a diverse range of centralized and distributed deployments. The fundamental bottleneck toward enormous spectral and energy efficiency benefits in multiuser MIMO networks lies in a huge demand for accurate CSIT. This has become increasingly difficult to satisfy due to the increasing number of antennas and access points in next generation wireless networks relying on dense heterogeneous networks and transmitters equipped with a large number of antennas. CSIT inaccuracy results in a multi-user interference problem that is the primary bottleneck of MIMO wireless networks. Looking backward, the problem has been to strive to apply techniques designed for perfect CSIT to scenarios with imperfect CSIT. In this article, we depart from this conventional approach and introduce readers to a promising strategy based on rate-splitting. Rate-splitting relies on the transmission of common and private messages, and is shown to provide significant benefits in terms of spectral and energy efficiencies, reliability, and CSI feedback overhead reduction over conventional strategies used in LTE-A and exclusively relying on private message transmissions. Open problems, the impact on standard specifications, and operational challenges are also discussed.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/b10fe63b332ef7091ac2102c8a62477fe4d5e9be

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Evolution of NOMA Toward Next Generation Multiple Access (NGMA) for 6G (2021, methodology): “Relying on the rate splitting technique [39], the transmitter splits part of each user’s message (i.”
A Primer on Rate-Splitting Multiple Access: Tutorial, Myths, and Frequently Asked Questions (2022, background): “phase noise), inaccurate calibrations of RF chains, subband level estimation [14].”
6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities (2020, background): “Another promising approach is known as rate splitting (RS) [121].”
Rate-Splitting Unifying SDMA, OMA, NOMA, and Multicasting in MISO Broadcast Channel: A Simple Two-User Rate Analysis (2019, methodology): “Linearly precoded Rate-Splitting (RS) with Successive Interference Cancellation (SIC) receivers has recently appeared as a powerful non-orthogonal transmission and robust interference management strategy for multi-antenna wireless networks [1].”
White Paper on Broadband Connectivity in 6G (2020, methodology): “In these cases, interference can also be managed at the protocol level, using so-called non-orthogonal multiple access (NOMA) schemes [109] or rate-splitting (RS) [110].”
Rate-Splitting Multiple Access: Fundamentals, Survey, and Future Research Trends (2022, methodology): “Transceiver architecture of K-user 1-layer RS [8].”
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications (2021, methodology): “The rate splitting method is also anticipated to be able to further improve the energy-efﬁciency for edge server cooperative inference by partially decoding the inference result and partially treating it as noise in a ﬂexible way [228].”
Rate-splitting multiple access for downlink communication systems: bridging, generalizing, and outperforming SDMA and NOMA (2017, methodology): “The common message in a unicast-multi-cast system carries public information intended as a whole to all users in the system, while the common message s12 in RS encapsulates parts of private messages, and is not entirely required by all users, although decoded by the two users for interference mitiga”
Fundamentals of Wireless Information and Power Transfer: From RF Energy Harvester Models to Signal and System Designs (2018, background): “A more general and powerful transmission framework would consist in partially decoding interference and partially treating interference as noise through rate-splitting [138].”