2016/10/22 by Hina Tabassum, Ekram Hossain, Tabassum, Hina +3
Engineering · Medicine · #Advanced Wireless Communication Technologies #FOS: Computer and information sciences #Information Theory (cs.IT) #IoT Networks and Protocols #Networking and Internet Architecture (cs.NI) #Optical Wireless Communication Technologies #Retinal Imaging and Analysis
paper · pdf · doi:10.48550/arxiv.1610.06995
openalex publication_date 2016/10/22 · openalex created_date 2022/10/01 · openalex updated_date 2026/07/28
Non-orthogonal multiple access (NOMA) serves multiple users by superposing\ntheir distinct message signals. The desired message signal is decoded at the\nreceiver by applying successive interference cancellation (SIC). Using the\ntheory of Poisson cluster process (PCP), we provide a framework to analyze\nmulti-cell uplink NOMA systems. Specifically, we characterize the rate coverage\nprobability of a NOMA user who is at rank m (in terms of the distance from\nits serving BS) among all users in a cell and the mean rate coverage\nprobability of all users in a cell. Since the signal-to-interference-plus-noise\nratio (SINR) of m-th user relies on efficient SIC, we consider three\nscenarios, i.e., perfect SIC (in which the signals of m-1 interferers who are\nstronger than m-th user are decoded successfully), imperfect SIC (in which\nthe signals of of m-1 interferers who are stronger than m-th user may or\nmay not be decoded successfully), and imperfect worst case SIC (in which the\ndecoding of the signal of m-th user is always unsuccessful whenever the\ndecoding of its relative m-1 stronger users is unsuccessful). The derived\nexpressions are customized to capture the performance of a user at rank m in\nan equivalent orthogonal multiple access (OMA) system. Finally, numerical\nresults are presented to validate the derived expressions.\n