Pei, XinyueChen, YingyangWen, MiaowenYu, HuaPanayırcı, ErdalPoor, H. Vincent2023-10-192023-10-192022290733-87161558-0008https://doi.org/10.1109/JSAC.2022.3143240https://hdl.handle.net/20.500.12469/5272To cope with the explosive traffic growth expected in next-generation wireless networks, it is necessary to design next-generation multiple access techniques that can provide higher spectral efficiency as well as larger-scale connectivity. As a promising candidate, power-domain non-orthogonal multiple access (NOMA) has been widely studied. In conventional power-domain NOMA, multiple users are multiplexed in the same time and frequency band with different preset power levels, which, however, may limit the spectral efficiency under practical finite alphabet inputs. Inspired by the concept of spatial modulation, we propose to solve this problem by encoding extra information bits into the power levels, and exploiting different signal constellations to help the receiver distinguish between them. To convey this idea, termed power selection (PS)-NOMA, clearly, we consider a simple downlink two-user NOMA system with finite input constellations. Assuming maximum-likelihood detection, we derive closed-form approximate bit error rate (BER) expressions for both users. Moreover, the two-user achievable rate region is also characterized. Simulation results verify the analysis and show that the proposed PS-NOMA can outperform conventional NOMA in terms of BER and achievable rate.eninfo:eu-repo/semantics/openAccessPhysical-Layer SecuritySpatial ModulationPerformance AnalysisSpectral EfficiencyChannelsSystemsNOMAResource managementNext generation networkingAllocationMaximum likelihood decodingDownlinkPhysical-Layer SecurityWireless networksSpatial ModulationQuadrature amplitude modulationPerformance AnalysisBit error rateSpectral Efficiencynext-generation multiple access (NGMA)Channelsachievable rateSystemsfinite alphabet inputAllocationnon-orthogonal multiple access (NOMA)Next-Generation Multiple Access Based on NOMA With Power Level ModulationArticle10721083440WOS:00076999340000610.1109/JSAC.2022.31432402-s2.0-85123298447Q1Q1