Wireless Resource Optimization in Hybrid Semantic/Bit Communication Networks

• DOI: 10.48550/arxiv.2404.04162
• Publication Date: 2024-04-05
• Authors: Le Xia; Yao Sun; Dusit Niyato; Lan Zhang; Muhammad Ali Imran
• Keywords: Bit (key)

Recently, semantic communication (SemCom) has shown great potential in significant resource savings and efficient information exchanges, thus naturally introducing a novel practical cellular network paradigm where two modes of SemCom conventional bit (BitCom) coexist. Nevertheless, the involved wireless management becomes rather complicated challenging, given unique background knowledge matching time-consuming coding requirements SemCom. To this end, paper jointly investigates user association (UA), mode selection (MS), bandwidth allocation (BA) problems hybrid semantic/bit (HSB-Net). Concretely, we first identify unified performance metric message throughput for both BitCom links. Next, specially develop matching-aware two-stage tandem packet queuing model theoretically derive average loss ratio latency. Combined with constraints, then formulate joint optimization problem UA, MS, BA to maximize overall HSB-Net. Afterward, propose an optimal strategy by utilizing Lagrange primal-dual transformation method preference list-based heuristic algorithm polynomial-time complexity. Numerical results not only demonstrate accuracy our analytical model, but also validate superiority proposed compared different benchmarks.