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Performance Enhancement of Incremental Cooperative NOMA via Partial Relay Selection
Author(s) -
Gandlapalli Nagesham,
Suseela Vappangi
Publication year - 2025
Publication title -
ieee access
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.587
H-Index - 127
eISSN - 2169-3536
DOI - 10.1109/access.2025.3616386
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Improving spectrum efficiency (SE) and energy efficiency (EE) remains a fundamental requirement for future wireless communication systems. To address this, we present a novel cooperative relaying strategy built on Incremental Relaying with Partial Relay Selection (IR-RS) using a Decode-and-Forward (DF) protocol (IR-RS-DF), tailored for Cooperative Non-Orthogonal Multiple Access (C-NOMA) networks. In this approach, a near user (NU) is selected dynamically based on its instantaneous signal-to-noise ratio (SNR) to serve as a DF relay for assisting a far user (FU), especially when the FU suffers from poor direct transmission conditions. To enhance energy utilization, the system incorporates a feedback-aided incremental relaying mechanism, which selectively engages relays only when necessary, thereby avoiding unnecessary retransmissions and reducing power consumption. We conduct a comprehensive statistical evaluation of key performance metrics such as bit error rate (BER), ergodic capacity (EC), system throughput, outage probability (OP), SE, and average energy savings over Rayleigh fading channels. Simulation outcomes validate that the proposed IR-RS scheme, when integrated with C-NOMA, consistently outperforms conventional IR-DF approaches across all evaluated parameters, showcasing its effectiveness for high-efficiency and energy-aware next-generation wireless networks.

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