TY - JOUR
T1 - Relay Selection for Energy-Harvesting Relays with Finite Data Buffer and Energy Storage
AU - Lin, Ciao Han
AU - Liu, Kuang Hao
N1 - Funding Information:
Manuscript received October 7, 2020; revised December 10, 2020; accepted January 9, 2021. Date of publication January 21, 2021; date of current version July 7, 2021. This work was supported in part by the Ministry of Science and Technology, Taiwan, under Grant MOST 107-2628-E-006-002-MY3, and in part by the Qualcomm through a Taiwan University Research Collaboration Project. (Corresponding author: Kuang-Hao Liu.) Ciao-Han Lin is with the Dell Technology, Taipei, Taiwan (e-mail: [email protected]) Kuang-Hao Liu is with the Department of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan (e-mail: khliu@ mail.ncku.edu.tw). Digital Object Identifier 10.1109/JIOT.2021.3053290
Publisher Copyright:
© 2014 IEEE.
PY - 2021/7/15
Y1 - 2021/7/15
N2 - Buffer-aided relaying can fully utilize the available selection gain of relay channels by allowing relays to store the received packets in the data buffers when the first-hop and second-hop channels are mismatched in quality. For energy-constrained Internet-of-Things (IoT) networks, some relays may lack sufficient energy to forward the buffered packets even their relay-to-destination channels are strong enough, leading to significant performance loss. This work studies buffer-aided relaying for relays that accumulate the energy harvested from source signal using finite-size energy buffers. A relay selection scheme considering both data buffer and energy buffer status is proposed and its performance is theoretically analyzed through Markov-chain modeling. Due to the complex behavior of dual buffers, the power consumption for reporting buffer status is first ignored in the theoretical analysis, which is then extended to, including feedback energy consumption. We validate the accuracy of the theoretical analysis and extensively discuss the performance of the proposed relay selection scheme subject to numerous key parameters. Numerical results demonstrate that the proposed relay selection scheme can fully exploit the diversity gain of multiple relays when ignoring energy consumption of feedback. With nonnegligible feedback energy consumption, the proposed relay selection scheme still significant outperforms some existing buffer-aided relay selection schemes.
AB - Buffer-aided relaying can fully utilize the available selection gain of relay channels by allowing relays to store the received packets in the data buffers when the first-hop and second-hop channels are mismatched in quality. For energy-constrained Internet-of-Things (IoT) networks, some relays may lack sufficient energy to forward the buffered packets even their relay-to-destination channels are strong enough, leading to significant performance loss. This work studies buffer-aided relaying for relays that accumulate the energy harvested from source signal using finite-size energy buffers. A relay selection scheme considering both data buffer and energy buffer status is proposed and its performance is theoretically analyzed through Markov-chain modeling. Due to the complex behavior of dual buffers, the power consumption for reporting buffer status is first ignored in the theoretical analysis, which is then extended to, including feedback energy consumption. We validate the accuracy of the theoretical analysis and extensively discuss the performance of the proposed relay selection scheme subject to numerous key parameters. Numerical results demonstrate that the proposed relay selection scheme can fully exploit the diversity gain of multiple relays when ignoring energy consumption of feedback. With nonnegligible feedback energy consumption, the proposed relay selection scheme still significant outperforms some existing buffer-aided relay selection schemes.
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U2 - 10.1109/JIOT.2021.3053290
DO - 10.1109/JIOT.2021.3053290
M3 - Article
AN - SCOPUS:85100446811
SN - 2327-4662
VL - 8
SP - 11249
EP - 11259
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 14
M1 - 9330540
ER -