The future sixth generation (6G) is going to face the significant challenges of massive connections and green communication. Recently, reconfigurable intelligent surfaces (RIS) and non-orthogonal multiple access (NOMA) have been proposed as two key technologies to solve the above problems. Motivated by this fact, we consider a downlink RIS-aided NOMA system, where the source aims to communicate with the two NOMA users via RIS. Considering future network supporting real-time service, we investigate the system performance with the view of effective capacity (EC), which is an important evaluation metric of delay sensitive systems. Specifically, we derive the analytical expressions of the EC of the near and far users. To obtain more useful insights, we deduce the analytical approximation expressions of the EC in the low signal-to-noise-ratio approximation by utilizing Taylor expansion. Moreover, we provide the results of orthogonal multiple access (OMA) for the purpose of comparison. It is found that (1) The number of RIS components and the transmission power of the source have important effects on the performance of the considered system; (2) Compared with OMA, NOMA system has higher EC due to the short transmission time.
Propelled by the accomplishment of Dahrouj and Yu in connecting the Han-Kobayashi transmission management for mitigating the inter-cell interference in a multi-cell multiple-use multiple in single out interference mesh, this bi-parted messages into privacy and general address in a multi-cell multi-user MIMO IN. In particular, the co-variances of the private and public messages are superintend to optimize either the sum rate or the minimal rate . The public and private messages are decoded in sequence using successive decoding. It reveals how hard to optimize problems can be adequately interpreted by D.C optimization over a simple convex set. Theoretical and simulated outputs shows the use of our proposing solutions for diverse types of Interference networks. In the superintend system, messages are fragmented into private message and public messages. In accordance to optimize the sum rate and minimal rate, covariances of private and public messages are estimated. The successive decoding algorithm proposed for decoding both private and public messages. The optimization problems will apparent up by accomplishing the difference of concave functions (D.C). Developing a potent D.C optimization network, which is furnished over certain area of bi-parted the private and public rates in several users Multi-Input Multi-Output Interference networks for decreasing the sum rate and minimal user rate. Han Kobayashi (HK) rate bi-parting scheme is exposed as the best plan to mitigate the interference and increase the performance.
The future sixth generation (6G) is going to face the significant challenges of massive connections and green communication. Recently, reconfigurable intelligent surfaces (RIS) and non-orthogonal multiple access (NOMA) have been proposed as two key technologies to address the above problems. Motivated by this fact, we consider a downlink RIS-aided NOMA system, where the base station seeks to communicate with two NOMA users with the aid of a RIS. Considering future network supporting real-time service, we investigate the system performance with the view of effective capacity (EC), which is an important evaluation metric of sensitive to delay sensitive system. Based on this basis, we derive the analytical expressions of the EC of the near and far users. To obtain more useful insights, we deduce the analytical approximation expressions of the EC in the low signal-to-noise-ratio (SNR) approximation by utilizing Taylor expansion. In order to compare, we provide the results of orthogonal multiple access (OMA). It is found that 1) The number of RIS components and the transmission power of the base station have important effects on the performance of the considered system model. 2) Compared with OMA, NOMA system has higher effective capacity due to the short transmission time.
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