TY - JOUR
T1 - Adaptive Scheduling for Joint Communication and Radar Detection
T2 - Tradeoff Among Throughput, Delay, and Detection Performance
AU - Ju, Honghao
AU - Long, Yan
AU - Fang, Xuming
AU - Fang, Yuguang
AU - He, Rong
PY - 2022/1
Y1 - 2022/1
N2 - In this paper, we focus on the tradeoff design between communication and radar detection for a joint communication and radar (CommRadar) system by leveraging a low-complexity hardware architecture. To achieve this, we exploit the communication traffic diversity to design an adaptive scheduling policy. Through adjusting the CommRadar mode selection, radar steering direction and communication user scheduling, and time allocation between communication and radar detection, we could better utilize the un-occupied transmission time to improve radar detection performance when the data traffic is light, and balance the time allocation between communication and radar detection when the data traffic is heavy. Moreover, for our adaptive scheduling method, we have provided a quantitative performance bound for data throughput, queueing delay, and radar detection performance of both short-term and long-term. By conducting extensive simulation studies, we have demonstrated that our method could greatly reduce the communication performance loss when integrating the radar functionality, while still guaranteeing radar detection performance.
AB - In this paper, we focus on the tradeoff design between communication and radar detection for a joint communication and radar (CommRadar) system by leveraging a low-complexity hardware architecture. To achieve this, we exploit the communication traffic diversity to design an adaptive scheduling policy. Through adjusting the CommRadar mode selection, radar steering direction and communication user scheduling, and time allocation between communication and radar detection, we could better utilize the un-occupied transmission time to improve radar detection performance when the data traffic is light, and balance the time allocation between communication and radar detection when the data traffic is heavy. Moreover, for our adaptive scheduling method, we have provided a quantitative performance bound for data throughput, queueing delay, and radar detection performance of both short-term and long-term. By conducting extensive simulation studies, we have demonstrated that our method could greatly reduce the communication performance loss when integrating the radar functionality, while still guaranteeing radar detection performance.
KW - adaptive scheduling
KW - Joint communication and radar detection
KW - performance bound
KW - traffic diversity
UR - http://www.scopus.com/inward/record.url?scp=85118589188&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85118589188&origin=recordpage
U2 - 10.1109/TVT.2021.3123618
DO - 10.1109/TVT.2021.3123618
M3 - RGC 21 - Publication in refereed journal
SN - 0018-9545
VL - 71
SP - 670
EP - 680
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 1
ER -