Green NOMA based MU-MIMO transmission for MEC in 6G Networks

Dursun, Yunus; Goktas, Muhammed Burak; Ding, Zhengtao

doi:10.2139/ssrn.4290649

Cited by 1 publication

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“…This is because the energy is shared between multiple users of the same beam. Therefore, a lot of research has been revealed to study the energy allocation of NOMA-MIMO see for example the references, [17], [19][20][21][22]. The formula for optimizing the QoS with power-allocation constraint can be written as follows, The optimization expression in ( 9) aims to attain a fair quality of service (i.e., best QoS) among all the users, "𝑅 𝑡ℎ = 𝐦𝐢𝐧 𝑘 ln( 1 + Γ 𝑘𝑖 )" denotes the minimum amount of data that each user should have, or in other words, it represents the QoS to confirm the user's fairness performance, Γ 𝑘𝑖 refers to SINR, and 𝑃 𝑡 stands for the total power transmitted by the whole system.…”

Section: Qos-balance Problem Formulationmentioning

confidence: 99%

Beam-space MIMO-NOMA Technique for mm-Wave Communication Systems

Salih Al Ammar,

Hburi

2024

ejuow

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The multi-input-multi-output-antenna Scheme is regarded as the most promising method for next-generation wireless communication networks that employ millimeter-wave (mm-wave) frequencies and enable them to have a large information throughput. As a result of the large number of radio frequency chains, MIMO mm-wave technology has difficulty with energy consumption. The beam space MIMO (or BS-MIMO for short) reduces the total number of radio frequency components or chains (RF-Chains) without degrading performance significantly. Yeti, VS-MIMO restricts the number of clients that can be supported at the same time-frequency domain (cannot exceed the overall RF-chains number ). In order to cope with such problems, it has been intended to include the NOMA technique (which stands for Non-Orthogonal-Multiple-Access) with the concept of beam space to create the extra model of Non-Orthogonal beam space-MIMO (NOMA-BS-MIMO). With such a scheme the base station can support the service for more than one client (supposed to have correlated channels) through the same beam employing the same radio frequency chain, causing the total clients number greater than the number of employed radio chains in the system. In this research, the Spectral Efficiency of a proposed Non-Orthogonal beam space-MIMO has been considered. More specifically, the research proposes and develops a simple iterative algorithm with near-perfect performance in terms of system Spectral Efficiency. To achieve rate balancing across users, the proposed method, SLNR-IV, employs the signal-to-leakage-plus-noise ratio (SLNR) and the intermediate value method. Considering algorithm validity and a particular parameter setting scenario, the proposed strategy improves bandwidth efficiency by around 15% in comparison to the conventional approach based on OFDM and Zero-forcing digital precoder.

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