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Impartial Cooperation in SWIPT-Assisted NOMA Systems With Random User Distribution

Yuan Ren, Binghan Ren, Xuewei Zhang, Tiejun Lv, Wei Ni, Guangyue Lu

2023IEEE Transactions on Vehicular Technology21 citationsDOI

Abstract

Impartial cooperation is considered in simultaneous wireless information and power transfer (SWIPT)-assisted downlink non-orthogonal multiple access (NOMA) systems with random user distribution. Unlike conventional SWIPT-assisted cooperative NOMA transmissions, we consider random user locations and investigate a transmission model in which both the near and far users of a NOMA system can serve as energy harvesting relays and forward information to each other. To assess the impact of user placement on the system performance, three user pairing schemes are designed. Closed-form expressions for the outage probability, diversity order, diversity-multiplexing trade-off (DMT), and system throughput are derived under different user location distributions, revealing that the novel SWIPT-assisted impartial cooperative NOMA improves these metrics of the near user, and does not degrade those of the far user, compared with the conventional schemes. Numerical results validate our analysis and confirm that our approach is more efficient in resource utilization, as compared to existing schemes.

Topics & Concepts

NomaTelecommunications linkComputer scienceMaximum power transfer theoremWirelessMultiplexingComputer networkThroughputTransmission (telecommunications)Power (physics)TelecommunicationsPhysicsQuantum mechanicsAdvanced Wireless Communication TechnologiesEnergy Harvesting in Wireless NetworksWireless Communication Security Techniques
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