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With the rapid proliferation of smart devices in wireless networks, morepowerful technologies are expected to fulfill the network requirements of highthroughput, massive connectivity, and diversify quality of service. To thisend, rate splitting multiple access (RSMA) is proposed as a promising solutionto improve spectral efficiency and provide better fairness for thenext-generation mobile networks. In this paper, the outage performance ofuplink RSMA transmission with randomly deployed users is investigated, takingboth user scheduling schemes and power allocation strategies intoconsideration. Specifically, the greedy user scheduling (GUS) and cumulativedistribution function (CDF) based user scheduling (CUS) schemes are considered,which could maximize the rate performance and guarantee scheduling fairness,respectively. Meanwhile, we re-investigate cognitive power allocation (CPA)strategy, and propose a new rate fairness-oriented power allocation (FPA)strategy to enhance the scheduled users' rate fairness. By employing orderstatistics and stochastic geometry, an analytical expression of the outageprobability for each scheduling scheme combining power allocation is derived tocharacterize the performance. To get more insights, the achieved diversityorder of each scheme is also derived. Theoretical results demonstrate that bothGUS and CUS schemes applying CPA or FPA strategy can achieve full diversityorders, and the application of CPA strategy in RSMA can effectively eliminatethe secondary user's diversity order constraint from the primary user.Simulation results corroborate the accuracy of the analytical expressions, andshow that the proposed FPA strategy can achieve excellent rate fairnessperformance in high signal-to-noise ratio region.

Outage Performance of Uplink Rate Splitting Multiple Access with Randomly Deployed Users