TY - GEN
T1 - Trajectory and passive beamforming design for IRS-aided multi-robot NOMA indoor networks
AU - Gao, Xinyu
AU - Liu, Yuanwei
AU - Mu, Xidong
PY - 2021/8/6
Y1 - 2021/8/6
N2 - A novel intelligent reflecting surface (IRS)-aided multi-robot network is proposed, where multiple mobile wheeled robots are served by an access point (AP) through non-orthogonal multiple access (NOMA). The goal is to maximize the sum-rate of all robots by jointly optimizing trajectories and NOMA decoding orders of robots, reflecting coefficients of the IRS, and the power allocation of the AP, subject to the quality of service (QoS) of each robot. To tackle this problem, a dueling double deep Q-network (D 3 QN) based algorithm is invoked for jointly determining the phase shift matrix and robots’ trajectories. Specifically, the trajectories for robots contain a set of local optimal positions, which reveals that robots make the optimal decision at each step. Numerical results demonstrated that the proposed D 3 QN algorithm outperforms the conventional algorithm, while the performance of IRS-NOMA network is better than the orthogonal multiple access (OMA) network.
AB - A novel intelligent reflecting surface (IRS)-aided multi-robot network is proposed, where multiple mobile wheeled robots are served by an access point (AP) through non-orthogonal multiple access (NOMA). The goal is to maximize the sum-rate of all robots by jointly optimizing trajectories and NOMA decoding orders of robots, reflecting coefficients of the IRS, and the power allocation of the AP, subject to the quality of service (QoS) of each robot. To tackle this problem, a dueling double deep Q-network (D 3 QN) based algorithm is invoked for jointly determining the phase shift matrix and robots’ trajectories. Specifically, the trajectories for robots contain a set of local optimal positions, which reveals that robots make the optimal decision at each step. Numerical results demonstrated that the proposed D 3 QN algorithm outperforms the conventional algorithm, while the performance of IRS-NOMA network is better than the orthogonal multiple access (OMA) network.
U2 - 10.1109/ICC42927.2021.9500747
DO - 10.1109/ICC42927.2021.9500747
M3 - Conference contribution
SN - 9781728171234
T3 - IEEE ICC Proceedings
BT - ICC 2021 - IEEE International Conference on Communications: proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Conference on Communications 2021
Y2 - 14 June 2021 through 23 June 2021
ER -