Performance and Energy in Green Superposition Coding Wireless Networks: An Analytical Model

Abstract

Abstract-In this paper, we develop a powerful analytical model of wireless network with Superposition Coding (SC), also referred to as Non Orthogonal Multiple Access (NOMA). This model allows to establish a closed form expression of the minimum power a base station (BS) need to transmit, for a user to achieve a given SINR (signal to interference plus noise ratio) whatever its location in the area covered by the base station. It moreover allows to establish a closed form expression of the minimum total transmit power of a base station. These closed form expressions allow to establish performance of wireless networks, by minimizing the base stations transmit powers. As an application, we show that these closed form expressions allow to quantify the energetic performance, spectral efficiency, total throughput and the coverage of a BS, in a simple and quick way.

Fundamental Limits of Non-Orthogonal Multiple Access (NOMA) for the Massive Gaussian Broadcast Channel in Finite Block-Length

“…In this paper, a unique cell is considered without inter-cell interference. For a multi-cells extension, the reader can be referred to [28] where the inter-cell interference from a Poisson point process was considered, or to [29] where a fluid model was used. Further, the impact of cell geometry distribution has been explored in [30], but the association of the spatial continuum multi-cell and FBL is beyond the scope of this paper.…”

Rate-Diverse Gaussian Multiple Access: Efficient Encoder and Decoder Designs

“…Jun Cheng is with the Department of Intelligent Information Engineering and Science, Doshisha University, Kyoto 610-0321, Japan (e-mail: jcheng@ieee.org). [6], [7], successive interference cancellation (SIC), and the message passing algorithm (MPA) [8], [9]. As the best known achievable strategy, Han-Kobayashi scheme is a joint unique decoding of messages for the two-user interference channel [10].…”