Efficient Rate-Splitting Multiple Access for the Internet of Vehicles: Federated Edge Learning and Latency Minimization

Abstract

Rate-Splitting Multiple Access (RSMA) has recently found favour in the multi-antenna-aided wireless downlink, as a benefit of relaxing the accuracy of Channel State Information at the Transmitter (CSIT), while in achieving high spectral efficiency and providing security guarantees. These benefits are particularly important in high-velocity vehicular platoons since their high Doppler affects the estimation accuracy of the CSIT. To tackle this challenge, we propose an RSMA-based Internet of Vehicles (IoV) solution that jointly considers platoon control and FEderated Edge Learning (FEEL) in the downlink. Specifically, the proposed framework is designed for transmitting the unicast control messages within the IoV platoon, as well as for privacypreserving FEEL-aided downlink Non-Orthogonal Unicasting and Multicasting (NOUM). Given this sophisticated framework, a multi-objective optimization problem is formulated to minimize both the latency of the FEEL downlink and the deviation of the vehicles within the platoon. To efficiently solve this problem, a Block Coordinate Descent (BCD) framework is developed for decoupling the main multi-objective problem into two subproblems. Then, for solving these non-convex sub-problems, a Successive Convex Approximation (SCA) and Model Predictive Control (MPC) method is developed for solving the FEEL-based downlink problem and platoon control problem, respectively. Our simulation results show that the proposed RSMA-based IoV system outperforms both the popular Multi-User Linear Precoding (MU-LP) and the conventional Non-Orthogonal Multiple Access (NOMA) system. Finally, the BCD framework is shown to generate near-optimal solutions at reduced complexity.

Indoor Positioning System (IPS) Using Ultra-Wide Bandwidth (UWB)—For Industrial Internet of Things (IIoT)

“…With advancements in wireless communication technology, sixth generation (6G) is bringing advanced technologies, such as mm-Wave [ 1 , 2 , 3 ], unmanned aerial vehicles (UAVs) [ 4 , 5 , 6 ], tera-hertz (THz) communications [ 7 , 8 , 9 ], intelligent reflecting surfaces (IRS) [ 10 , 11 , 12 ], non-orthogonal multiple access (NOMA) [ 13 , 14 , 15 ], etc., to overcome the limitations of prior wireless generations. Indoor positioning systems (IPSs) and location-based services have become a fundamental requirement for many Industrial Internet of Things (IIoT) applications [ 16 , 17 , 18 ].…”

Integrated Sensing and Communication via Orthogonal Time Frequency Space Signaling with Hybrid Message Passing Detection and Fractional Parameter Estimation

“…In this section, we first introduce the fundamental principles underlying OTFS modulation. Subsequently, we expound upon the input–output correction of OTFS symbols within the DD domain [ 47 , 48 , 49 , 50 , 51 , 52 ].…”

Rate-Splitting Multiple Access-Based Satellite–Vehicular Communication System: A Noncooperative Game Theoretical Approach

“…[5]- [10]. The NTN stimulated many innovative ideas and applications for enhancing the Quality of Service (QoS) in ITS [11]- [15]. In this context, the Internet of Vehicles (IoV) and ITS have played a conducive role in harnessing the Satellite-Vehicular Network (SVN) concept [16], [17].…”