Performance limits of wireless powered cooperative NOMA over generalized fading

Abstract

The non‐orthogonal multiple access (NOMA) technique is a prospective solution to support the massive connectivity of an ever‐increasing number of wirelessly connected devices and address the spectrum scarcity issue. In this article, the outage probability and ergodic capacity of a two‐hop cooperative NOMA network with an energy‐limited relaying node are quantified over a generalized α−κ−μ statistical model. The relay acts in an amplify‐and‐forward mode and performs energy harvesting (EH) using the time‐switching and power splitting relaying protocols. Moreover, the impact of hardware impairments (HIs) is incorporated into the performance evaluation. The obtained results prove the importance of HIs and allow one to evaluate the outage probability and ergodic capacity over various statistical models and system parameters. Finally, the results suggest that the optimal performance at a specific scenario depends on the combination of multiple factors, such as channel conditions, HI level, transmit power, and EH protocol.

Adaptive FRESH filter with vicarious reference for interference rejection: An application to signal detection in NOMA system

“…In this NOMA scheme, successive interference cancellation (SIC) is adopted by the receiver to detect the signals. In the SIC method, in the beginning, the stronger user signal is detected and then is subtracted from the received signal to detect the other transmission signals iteratively 27 . Three drawbacks of the SIC method are: first, requiring correct information of the propagation channel conditions which in practice is not possible; second, reducing the performance of some users due to the associated error propagation; 28 and third, not exploiting the waveform structure to detect the signals 29 …”

Reconfigurable intelligent surface assisted downlink INOMA system

“…On the other hand, index modulation (IM) and nonorthogonal multiple access (NOMA) are a promising technology for fifth‐generation (5G) and beyond wireless networks to enhance spectrum efficiency and support massive connectivity 11‐16 . IM‐based spatial modulation (SM) transmits information using antenna indices along with modulation symbols of M‐ary phase shift keying or M‐ary quadrature amplitude modulation (QAM), therefore it increases the data transmission rate.…”

Joint bandwidth and power resource allocation technique in multi‐carrier non‐orthogonal multiple access‐based cognitive Internet of Things networks

“…11 This, in turn, adds an additional level of freedom, and thus, enables a larger number of users. [12][13][14][15] Accordingly, NOMA has the potential capabilities to support the proliferation of IoT network while meeting the unprecedented requirements of B5G networks. 16 Furthermore, due to the fact the users with weaker channels are served with higher power levels, NOMA can guarantee long-term fairness between the communicating devices in terms of the achieved quality of services (QoS).…”

“…Unlike conventional OMA mechanisms, multiple NOMA‐based users can be concurrently served over the same resource block using the power‐domain multiplexing techniques 11 . This, in turn, adds an additional level of freedom, and thus, enables a larger number of users 12‐15 . Accordingly, NOMA has the potential capabilities to support the proliferation of IoT network while meeting the unprecedented requirements of B5G networks 16 .…”

“…Several previous studies looked into how to enhance system performance in hybrid OFDMA‐NOMA networks (eg, References 9, 10, 13, 14, and 24). In Reference 24, the sum‐rate maximization problem in a hybrid OFDMA‐NOMA system is studied while achieving a set of predefined design requirements.…”