Robust Beamforming and Rate-Splitting Design for Next Generation Ultra-Reliable and Low-Latency Communications
Tiantian Li, Haixia Zhang, Shuaishuai Guo, Dongfeng Yuan

TL;DR
This paper introduces a robust beamforming and rate-splitting approach for multi-user xURLLC systems in the finite blocklength regime, enhancing spectrum efficiency and robustness under channel uncertainties.
Contribution
It proposes a novel optimization framework using S-Procedure and DC programming to improve worst-user rates with robustness to CSIT errors.
Findings
Achieves convergence and robustness in simulations.
Significantly improves worst-user rate performance.
Effective under various blocklength and error rate conditions.
Abstract
The next generation ultra-reliable and low-latency communications (xURLLC) need novel design to provide satisfactory services to the emerging mission-critical applications. To improve the spectrum efficiency and enhance the robustness of xURLLC, this paper proposes a robust beamforming and rate-splitting design in the finite blocklength (FBL) regime for downlink multi-user multi-antenna xURLLC systems. In the design, adaptive rate-splitting is introduced to flexibly handle the complex inter-user interference and thus improve the spectrum efficiency. Taking the imperfection of the channel state information at the transmitter (CSIT) into consideration, a max-min user rate problem is formulated to optimize the common and private beamforming vectors and the rate-splitting vector under the premise of ensuring the requirements of transmission latency and reliability of all the users. The…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Wireless Communication Security Techniques · Cooperative Communication and Network Coding
