Open AccessSpectrum efficiency analysis of signal alignment‐based beamspace millimetre wave MIMO‐NOMA systems
Author(s) -
Salem Ahmed Abdelaziz,
Benaya A.M.,
ElRabaie Sayed,
Shokair Mona
Publication year - 2020
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2019.0754
Subject(s) - mimo , computer science , spectral efficiency , single antenna interference cancellation , noma , precoding , reduction (mathematics) , heuristic , interference (communication) , radio frequency , algorithm , mathematical optimization , electronic engineering , telecommunications , mathematics , telecommunications link , decoding methods , beamforming , engineering , channel (broadcasting) , geometry , artificial intelligence
Non‐orthogonal multiple access (NOMA) has been integrated with beamspace multi‐input multi‐output (MIMO) to enhance system spectrum efficiency (SE) by serving more than one user per dedicated radio frequency (RF) chain. However, balancing the system performance with significant RF reduction is still challenging. In this study, the authors propose beamspace MIMO‐NOMA system based on signal alignment (SA) concept, where they will be able to tackle the issue of hardware complexity with a significant performance. Spectrum and energy efficiencies are analysed through two main stages. First, the excess degrees‐of‐freedom of beamspace MIMO‐NOMA are exploited by SA to suppress the inter‐beam/pair interference through designing user detection vectors and precoding matrix. Accordingly, a significant RF‐chains reduction is provided. Second, power allocation coefficients are evaluated upon the optimal SE in order to mitigate intra‐beam/pair interference. Moreover, the authors derive a tight closed formula for optimal SE based on Karush‐Kuhn‐Tucker analysis, which is validated by a heuristic‐based optimal solution. Simulation results show a superior performance gain over orthogonal multiple access technique. Furthermore, the Monte‐Carlo numerical solution depicts the marginal performance gap between the analytical and heuristic‐based optimisation approach. This confirms the accuracy and rigidity of the proposed system.