2021
DOI: 10.1109/jiot.2020.3036130
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Performance of Two-Hop Links With an Energy Buffer-Aided IoT Source and a Data Buffer-Aided Relay

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Cited by 11 publications
(9 citation statements)
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“…Focusing on the resource allocation in the downlink of wireless relay networks, Hajipour et al [22] designed a stochastic network optimization scheme with the aid of buffers to maximize the system energy efficiency while maintaining the queue stability. In [23], an MC-based framework was developed to evaluate the throughput performance of twohop links with an energy buffer-aided IoT source and a data buffer-aided relay. The performance evaluation of buffer-aided cooperative nonorthogonal multiple access in IoT was recently investigated in [24] and [25], where the expressions of system throughput and average delay were derived theoretically based on the buffer state analysis.…”
Section: Related Workmentioning
confidence: 99%
“…Focusing on the resource allocation in the downlink of wireless relay networks, Hajipour et al [22] designed a stochastic network optimization scheme with the aid of buffers to maximize the system energy efficiency while maintaining the queue stability. In [23], an MC-based framework was developed to evaluate the throughput performance of twohop links with an energy buffer-aided IoT source and a data buffer-aided relay. The performance evaluation of buffer-aided cooperative nonorthogonal multiple access in IoT was recently investigated in [24] and [25], where the expressions of system throughput and average delay were derived theoretically based on the buffer state analysis.…”
Section: Related Workmentioning
confidence: 99%
“…According to DTMC theory, the parameter values of the time and state processes are all discrete Markov processes, and the transition of the state is only related to the state before and after the transition. Therefore, most of the literatures established the DTMC models for discrete buffer data queue lengths and used the DTMC model to analyze the performance of the system [20][21][22][23][24]. Bapatla and Prakriya [23] modeled the energy buffer using the discrete-time continuous-state DTMC model to analyze the outage and throughput performance of the system.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, most of the literatures established the DTMC models for discrete buffer data queue lengths and used the DTMC model to analyze the performance of the system [20][21][22][23][24]. Bapatla and Prakriya [23] modeled the energy buffer using the discrete-time continuous-state DTMC model to analyze the outage and throughput performance of the system. Based on the buffer state information, [24] used the Markov reward process to minimize the average queuing delay, thus overcoming the delay challenge posed in two-hop buffer-aided relay networks.…”
Section: Introductionmentioning
confidence: 99%
“…Different from [14], both a self-sustaining source and a self-sustaining relay are introduced into the two-hop relay networks with a direct link in [16], where both the source and the relay harvest energy from the ambience. In [17], the performance of two-hop relay network with a self-sustaining source harvesting energy from the ambience and a data bufferaided relay is analysed, where three simple link selection schemes considering buffer status or channel knowledge are adopted to maximize the throughput of the relay network.…”
Section: Introductionmentioning
confidence: 99%