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This paper proposes a millimeter wave-NOMA (mmWave-NOMA) system that takesinto account the end-user signal processing capabilities, an importantpractical consideration. The implementation of NOMA in the downlink (DL)direction requires successive interference cancellation (SIC) to be performedat the user terminals, which comes at the cost of additional complexity. InNOMA, the weakest user only has to decode its own signal, while the strongestuser has to decode the signals of all other users in the SIC procedure. Hence,the additional implementation complexity required of the user to perform SICfor DL NOMA depends on its position in the SIC decoding order. Beyondfifth-generation (B5G) communication systems are expected to support a widevariety of end-user devices, each with their own processing capabilities. Weenvision a system where users report their SIC decoding capability to the basestation (BS), i.e., the number of other users signals a user is capable ofdecoding in the SIC procedure. We investigate the rate maximization problem insuch a system, by breaking it down into a user clustering and ordering problem(UCOP), followed by a power allocation problem. We propose a NOMA minimum exactcover (NOMA-MEC) heuristic algorithm that converts the UCOP into a clusterminimization problem from a derived set of valid cluster combinations afterfactoring in the SIC decoding capability. The complexity of NOMA-MEC isanalyzed for various algorithm and system parameters. For a homogeneous systemof users that all have the same decoding capabilities, we show that thisequates to a simple maximum number of users per cluster constraint and proposea lower complexity NOMA-best beam (NOMA-BB) algorithm. Simulation resultsdemonstrate the performance superiority in terms of sum rate compared toorthogonal multiple access (OMA) and traditional NOMA

User Clustering in mmWave-NOMA Systems with User Decoding Capability Constraints for B5G Networks