Energy Efficient Buffer-Aided Transmission Scheme in Wireless Powered Cooperative NOMA Relay Network

Lan, Xiaolong; Zhang, Yongmin; Chen, Qingchun; Cai, Lin

doi:10.1109/tcomm.2019.2959336

Cited by 31 publications

(30 citation statements)

References 42 publications

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“…Both aforementioned strategies have been utilised in a wireless powered cooperative NOMA relay network [47]. This network consists of one source and two users communicating via a BA HD energy‐constrained relay with an energy storage that stores harvested energy from the source.…”

Section: Buffer‐aided Relay Selection Schemes With Energy Storagementioning

confidence: 99%

“…The strategies achieve the required transmission rates by both users for the initial case without any buffers. PSR outperforms TSR in terms of the realised energy efficiency [47]. For the case with buffers, depending on the current CSI, ESI and BSI, the relay is able to switch its transmission mode to either EH, relay receiving or relay transmitting.…”

Section: Buffer‐aided Relay Selection Schemes With Energy Storagementioning

confidence: 99%

“…BATS enhances energy efficiency, when compared with TSR and PSR, due to the gains of the BA transmission mechanism. In the analysis of [47], a trade‐off between long‐term power consumption and average queuing delay was highlighted, where less power consumption can be attained at the cost of an increase in transmission delay. Another adaptive EH‐based relaying approach, the adaptive source transmission policy, has been proposed in [86], where a delay‐limited transmission mode has been studied, i.e.…”

Section: Buffer‐aided Relay Selection Schemes With Energy Storagementioning

confidence: 99%

“…• Develop the schemes of [41] to cover relays with limited energy storage and limited buffer size. • Investigate the distributive implementation and AT mode selection in BA and EH‐enabled relaying networks with multiple relays [42]. • Extend the work in [44] to cover MIMO scenarios and consider buffers with finite size. • Design a robust transmission scheme due to imperfect CSI [47]. • Consider the energy consumption required for CSI feedback, training pilots transmission for channel estimation at the source and relay as well as control decision transmission [47].…”

Section: Challenges and Opportunities For Future Researchmentioning

confidence: 99%

“…• Extend the work in [44] to cover MIMO scenarios and consider buffers with finite size. • Design a robust transmission scheme due to imperfect CSI [47]. • Consider the energy consumption required for CSI feedback, training pilots transmission for channel estimation at the source and relay as well as control decision transmission [47]. • Examine EH receivers and transmitters in the set‐ups mentioned in the study and more [99].…”

Section: Challenges and Opportunities For Future Researchmentioning

confidence: 99%

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Buffer‐aided relaying: a survey on relay selection policies

2020

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Ever since the idea of buffers was incorporated in wireless communications, buffer‐aided relaying has become an emerging breakthrough in the world of transmitting and receiving signals. Equipping the relays with buffers adds a new degree of freedom capable of enhancing numerous quality‐of‐service (QoS) metrics including throughput, outage probability, power efficiency and physical‐layer security. The QoS enhancement is achieved by compromising the end‐to‐end delay that is inflicted by storing the packets in the relays' buffers until a suitable source–relay or relay–destination link is selected. In this context, the selection of a relay for transmission/reception is important since it governs the QoS‐delay trade‐off that can be contemplated. In this survey, the authors review and analyse various link selection protocols in buffer‐aided relaying systems. These relaying strategies are categorised and contrasted according to their performance levels, limitations, applications, system model assumptions and complexity. Finally, they discuss current challenges, and highlight future research directions.

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Section: Buffer‐aided Relay Selection Schemes With Energy Storagementioning

confidence: 99%

Section: Buffer‐aided Relay Selection Schemes With Energy Storagementioning

confidence: 99%

Section: Buffer‐aided Relay Selection Schemes With Energy Storagementioning

confidence: 99%

Section: Challenges and Opportunities For Future Researchmentioning

confidence: 99%

Section: Challenges and Opportunities For Future Researchmentioning

confidence: 99%

See 3 more Smart Citations

Buffer‐aided relaying: a survey on relay selection policies

2020

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An optimized cooperative data transmission scheme in relay‐enabled cellular communication networks

Wang,

Ren,

Zhang

2024

Int J Communication

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SummaryCooperative transmission is of great significance in data transmission and resource schedule in mobile cellular communication networks. To attain the desired network transmission performance objectives over the whole cellular network system, we propose an appropriate cooperative data transmission scheme to optimize the data delivery efficiency in terms of the transmission time consumption for each and every transmission group. The proposed transmission optimization scheme includes the tasks of determining the transmission group, allocating the channel rate resource, specifying the cooperative transmission mechanism, and performing resource allocation and schedule as well. Firstly, we propose a utility function based rate allocation scheme to optimize the channel rate resource utilization for all those transmission groups over the cellular communication network. Based on it, we further present a cooperative data transmission scheme to deal with the data delivery and reception for all those subgroups with high efficiency over the whole network system. Particularly, we propose a resource efficiency function‐based coordination scheduling (EFCS) scheme to conduct the cooperative data transmission and resource schedule as well for each transmission group within the network. The EFCS scheme facilitates to determine the subgroups for schedule over each scheduling cycle, which can produce the best data transmission efficiency across both the direct and cooperative transmission hop. Both the theoretical analysis and the simulation evaluation results verify the superior performance of our proposed cooperative data transmission scheme.

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