Performance analysis of cooperative NOMA with energy harvesting in multi-cell networks

Cheng, Guo; Xin, Jie; Zhao, Liqiang; Chu, Xiaoli

doi:10.23919/jcc.2019.11.010

Cited by 14 publications

(6 citation statements)

References 11 publications

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“…So we can show that the constraints are also satisfied according to the analysis similar to (30) and (31). In addition, we also have…”

Section: Proof Of Theoremmentioning

confidence: 78%

“…For energy efficiency (EE), there are several papers, many of which consider the static power consumption of the transmission circuit. Guo et al [30] give the performance analysis of cooperative NOMA with energy harvesting in multi-cell networks, showing that the energy harvesting enabled cooperative NOMA system in a multi-cell network can improve the coverage probability, ergodic rate, and EE compared to its counterpart orthogonal multiple access (OMA) systems. Zhang et al [31] discuss the EE optimization of AF based energy harvesting two-way relaying systems.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimizing Energy Harvesting Decode-and-Forward Relays With Decoding Energy Costs and Energy Storage

Yao

et al. 2021

IEEE Access

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Energy harvesting (EH) relay communication systems with decoding energy costs in multiple block cases have not been widely studied. This paper investigates the relay network with a decode-andforward relay powered by EH. Unlike other works, we consider the relay with energy decoding costs which harvests random energy from both a dedicated transmitter and other ambient radio-frequency (RF) sources. The EH relay adopts a harvest-receive-forward time-switching architecture. We optimize the time fractions of the three phases and the reception rate at the relay to maximize the offline throughput for single and multiple block cases under two EH scenarios. The multi-block optimization problem constitutes a complex non-convex problem, which we decouple into a single block problem with two auxiliary variables determined by an outer optimization problem. The original problem is finally solved at the cost of linear optimization after series of tricks. Several conclusions are derived: (i) energy storage is necessary (unnecessary) when the relay harvests energy from the transmitter (ambient RF sources), (ii) the optimal reception rate remains unchanged, while the optimal time fractions vary with the energy harvested from ambient RF sources leading to different average throughput. We give numerical simulations to verify our theoretical analysis.

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“…So we can show that the constraints are also satisfied according to the analysis similar to (30) and (31). In addition, we also have…”

Section: Proof Of Theoremmentioning

confidence: 78%

Section: Introductionmentioning

confidence: 99%

Optimizing Energy Harvesting Decode-and-Forward Relays With Decoding Energy Costs and Energy Storage

Yao

et al. 2021

IEEE Access

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“…Energy harvesting attaches plenty of attention in academia which can provide effective and continuous energy guarantee of the wireless communication system with limited energy [33,34]. The authors in [35] investigate a two-user energy harvesting enabled cooperative NOMA network, in which the energy-limited nearly-located user act as a relay to transmit signals to the far-located user using harvested energy from the base station. In the study of [36], a multi-user cooperative NOMA network with energy harvesting is discussed, where receivers combine signals from cooperative transmission and direct transmission by MRC.…”

Section: Introductionmentioning

confidence: 99%

On the outage probability of energy harvested cooperative multiuser cognitive NOMA network

et al. 2023

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This paper investigates a multiple users cooperative cognitive non‐orthogonal multiple access (NOMA) network with energy harvesting. Primary transmitter and secondary sources serving as energy‐constrained nodes harvest energy from the power beacon PBS. In primary network, primary transmitter sends signals towards primary receiver. In order to make full use of spectrum resources, the secondary network access the licensed spectrum of primary network with overlay mode, where the best secondary source with maximum transmission signal‐to‐noise ratio between primary transmitter and secondary sources act as relays to forward signal via NOMA principle. In this context, two cooperative transmission protocols, namely, traditional NOMA cooperative transmission and adaptive NOMA cooperative transmission are proposed. For NOMA cooperative transmission, relays use NOMA to forward the superimposed signal of primary signal and secondary signal without any constrain. However, for adaptive NOMA cooperative transmission, relays use NOMA by judging whether the transmission between primary transmitter and primary receiver is successful or not. Primary receiver merges signals received from two transmission slots by selection combining. Finally, exact and asymptotic outage probability of primary network and secondary network with two cooperative transmissions are derived and simulated. It is shown that outage performance is improved for the proposed adaptive NOMA cooperative transmission.

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“…Researchers have paid more attention to non-orthogonal multiple access (NOMA) in the last few years [1], which is a valuable multiple access technique for fifth generation (5G) wireless networks. With NOMA, user equipments (UE) superpose the messages in the same time/frequency/code/power domain and impose inter-user interference simultaneously at the transmitter side, while the receivers side employs the successive interference cancellation (SIC) technique [2,3]. All these attractive characteristics of NOMA can provide higher spectrum efficiency for the overall system and better fairness for users [4].…”

Section: Introductionmentioning

confidence: 99%

Outage Performance Analysis of NOMA in Wireless Powered Cognitive Radio Networks with AF and DF Relaying Techniques

Wang

Dong

Tang

et al. 2021

Entropy

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Improving spectral efficiency under a certain energy limitation is an important design metric for future wireless communications as a response to the growing transmission demand of wireless devices. In order to improve spectral efficiency for communication systems without increasing energy consumption, this paper considers a non-orthogonal multiple access (NOMA)–based cognitive radio network, with the assistance of a wireless-powered relay station (RS), and then analyzes the system outage performance under amplified-and-forward (AF) and decoded-and-forward (DF) cooperative transmission modes. Specifically, the base station (BS) has the opportunity to cooperate by transmitting information through the RS, depending on whether the RS can harvest sufficient RF energy for cooperative transmission. That is to say, when the energy stored by the RS is sufficient for cooperative transmission, the RS will assist the BS to forward information; otherwise, the BS will send information through direct links, while the RS converts the radio frequency (RF) signals sent by the BS into energy for future transmission. Moreover, the transmission power required by the RS for cooperative transmission is usually relatively large, while the amount of harvested energy by the RS in a transmission slot is usually low, so it takes several consecutive time slots to accumulate enough transmission energy. To this end, we utilize a discrete-time Markov chain to describe the processes of charging and discharging of the RS. Subsequently, we derive the closed-form outage probabilities of both the primary and secondary systems for the considered system in AF and DF modes through mathematical analysis, and verify the accuracy of the analyses through Monte Carlo simulation. The simulation results show that the two proposed cooperative transmission schemes with AF and DF relaying techniques outperform both direct transmission and other similar schemes in both the primary and secondary system, while the DF scheme can provide better performance than the AF scheme within the range of setting values.

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Performance analysis of cooperative NOMA with energy harvesting in multi-cell networks

Cited by 14 publications

References 11 publications

Optimizing Energy Harvesting Decode-and-Forward Relays With Decoding Energy Costs and Energy Storage

Optimizing Energy Harvesting Decode-and-Forward Relays With Decoding Energy Costs and Energy Storage

On the outage probability of energy harvested cooperative multiuser cognitive NOMA network

Outage Performance Analysis of NOMA in Wireless Powered Cognitive Radio Networks with AF and DF Relaying Techniques

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