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Abstract
In this paper, we propose an aerial reconfigurable intelligent surface (RIS) system to support the stringent constraints of ultra-reliable low latency communication (URLLC). Specifically, unmanned aerial vehicles (UAVs) employed onboard RIS panels can act as repeaters to reflect the signal from macro base station (MBS) to all users in the networks. To overcome the dense networks’ interference, we propose to use zero-forcing beamforming and time division multiplexing access (TDMA) scheme where each UAV can serve a number of users in its own cluster. We formulate a optimisation framework in terms of UAVs’ deployment, power allocation at MBS, phase-shift of RIS, and blocklength of URLLC. Due to highly nonconvex and complex optimisation problem, we first consider to use a deep neural network (DNN) to solve the optimal UAVs’ deployment. Then, the optimal resource allocation is proposed to provide the maximal reliability of the considered system with respect to the users’ fairness. From the representative numerical results, our proposed scheme is shown to superior to other benchmarks which exhibits the positive impact of aerial RIS in supporting stringent demands of URLLC.
Highlights
Unmanned aerial vehicles (UAVs) have been widely applied in wireless communication systems as an efficient means to extend wireless coverage due to their flexible configuration and mobility nature [1], [2]
We assume that the macro base station (MBS) is located at (0, 0, 30) while user equipment (UE) are randomly distributed in the network
In this paper, to support various quality of service (QoS)’s requirements of ultra-reliable low latency communication (URLLC), we have proposed an aerial reconfigurable intelligent surface (RIS)-UAV system to assist the direct communications between a MBS employed with ZF beamforming and UEs
Summary
Unmanned aerial vehicles (UAVs) have been widely applied in wireless communication systems as an efficient means to extend wireless coverage due to their flexible configuration and mobility nature [1], [2]. We propose an aerial RIS-assisted URLLC system where UAVs carry RIS panels to reflect the signal from main base station to far-end users With this strategy, the stringent QoS requirements with very high reliability and very low latency of URLLC can be satisfied. We formulate a joint optimisation framework with respect to deployment of UAVs, the power allocation at base station, the phase shift of RIS, and the blocklength of URLLC to minimise the worst-case decoding error probability by taking into account the fairness of largescale networks. With high chances of line-of-sight (LOS) propagation of air-to-ground channel from UAVs, the intercell interferences can become a dominant factor to the degradation of network performance To overcome these problems, we apply the TDMA transmission scheme by using M timeslots for M RIS-UAV clustering.
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