A Unified Multiple Access Framework for Next Generation Mobile Networks By Removing Orthogonality (MANGO)

Lead Research Organisation: University of Manchester
Department Name: Electrical and Electronic Engineering

Abstract

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Publications

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Description Multiple access (MA) technologies are key to the successful evolution of modern mobile networks, and form the very core of the way in which the radio technology of the cellular systems work. All past generations of cellular systems rely on various forms of orthogonal MA in the time, frequency or code domains, even though it has been known since Shannon's work on the multiple access channel that this is sub-optimal. Only recently has non-orthogonal multiple access (NOMA) been considered for practical implementation, but it has been quickly envisioned as a key component for 5G wireless systems. Furthermore, the superior spectral efficiency of NOMA has also led recent standardization activities to include NOMA in 4G LTE-A. Despite the solid theoretical underpinning, and now this rapid pace of standardization, there are still important questions about the performance of NOMA particularly in presence of practical constraints such as limited feedback, interference and dynamic network topology, which introduce new challenges and will limit versatile adoption of NOMA in wireless communications. This project has successfully explored these challenging practical problems in NOMA, culminating in the formulation of both new fundamental theories and advanced technologies that contribute to the development of the next-generation mobile networks, as can be shown by the publications attached..
Exploitation Route Our research outcomes have been shared with the research community by publishing our works in international leading journals, including the preprints of our articles in arxiv and Researchgate, and presenting various tutorials and keynotes in international conferences.
Sectors Digital/Communication/Information Technologies (including Software)

URL https://personalpages.manchester.ac.uk/staff/zhiguo.ding/index
 
Description The world has witnessed an exponential growth in the number and demand of wireless devices, and an increase in the array of wireless broadband network applications that has permeated virtually all aspects of our daily lives. The importance of wireless communication on the quality of our lives and on our economy cannot be overstated. However, this progress cannot be sustained with the current wireless communication network technologies, and this fact has spurred research innovations towards the next generation of wireless systems, typically termed 5G technologies. Non-orthogonal multiple access (NOMA) represents such a key paradigm shift that will help meet these demands in next-generation mobile networks is the design of new types of multiple access techniques which provide more innovative ways of sharing the spectrum among massive users and devices. Since its invention at 2013, NOMA has been quickly recognized as a promising multiple access (MA) technique for 5G which is to be deployed in 2020. A simplified version of NOAM, termed Multi-User Superposition Transmission (MUST), has also been proposed to 4G LTE-A in 2015. In 2018, MUST was formally included in 3GPP Release 15 for downlink transmission. In 2019, the use of NOMA has been considered for the uplink transmission standard (3GPP Release 16). The NOMA principle has also been applied to system beyond telecommunications, e.g., recently NOMA has also been used in digital TV systems, where it is termed Layered Division Multiplexing. Our research in NOMA has successfully set an agenda to fully exploit the potentials of the NOMA principle for revolutionizing wireless systems, and recently received three Best Paper Awards from three IEEE societies, including IEEE Vehicular Technology Society (VTS) Jack Neubauer Memorial Award 2018, IEEE Communication Society (COMSOC) Henrich Hertz Best Letter Award 2018, and IEEE Signal Processing Society (SPS) Best Signal Processing Letter Award 2018.
First Year Of Impact 2020
Sector Digital/Communication/Information Technologies (including Software)
Impact Types Societal