TY - JOUR
T1 - Optimized asymmetric feedback detection for rate-adaptive harq with unreliable feedback
AU - Ding, Weihang
AU - Shikh-Bahaei, Mohammad
N1 - Publisher Copyright:
©2021 IEEE.
PY - 2021
Y1 - 2021
N2 - This work considers downlink incremental redundancy Hybrid Automatic Repeat Request (IR-HARQ) over unreliable feedback channels. Since the impact of positive feedback (i.e., ACK) error is smaller than that of negative feedback (i.e., NACK) error, an asymmetric feedback detection scheme is proposed to protect NACK and further reduce the outage probability. We formulate the HARQ process as a Markov Decision Process (MDP) model to adapt to the transmission rate of each transmission attempt without enriched feedback and additional feedback cost. We aim to optimize the performance of HARQ process under certain outage probability requirements by finding optimal asymmetric detection thresholds. Numerical results obtained on the downlink Rayleigh fading channel and 5G new radio (NR) PUCCH feedback channel show that by applying asymmetric feedback detection and adaptive rate allocation, higher throughput can be achieved under outage probability limitations.
AB - This work considers downlink incremental redundancy Hybrid Automatic Repeat Request (IR-HARQ) over unreliable feedback channels. Since the impact of positive feedback (i.e., ACK) error is smaller than that of negative feedback (i.e., NACK) error, an asymmetric feedback detection scheme is proposed to protect NACK and further reduce the outage probability. We formulate the HARQ process as a Markov Decision Process (MDP) model to adapt to the transmission rate of each transmission attempt without enriched feedback and additional feedback cost. We aim to optimize the performance of HARQ process under certain outage probability requirements by finding optimal asymmetric detection thresholds. Numerical results obtained on the downlink Rayleigh fading channel and 5G new radio (NR) PUCCH feedback channel show that by applying asymmetric feedback detection and adaptive rate allocation, higher throughput can be achieved under outage probability limitations.
KW - Asymmetric feedback detection
KW - Hybrid automatic repeat request
KW - Rate adaptation
UR - http://www.scopus.com/inward/record.url?scp=85119362374&partnerID=8YFLogxK
U2 - 10.1109/WCNC49053.2021.9417573
DO - 10.1109/WCNC49053.2021.9417573
M3 - Conference paper
AN - SCOPUS:85119362374
SN - 1525-3511
JO - IEEE Wireless Communications and Networking Conference, WCNC
JF - IEEE Wireless Communications and Networking Conference, WCNC
T2 - 2021 IEEE Wireless Communications and Networking Conference, WCNC 2021
Y2 - 29 March 2021 through 1 April 2021
ER -