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arXiv · 2408.07820

Hybrid Semantic/Bit Communication Based Networking Problem Optimization

Le Xia·Yao Sun·Dusit Niyato·Lan Zhang·Lei Zhang·Muhammad Ali Imran
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Abstract

This paper jointly investigates user association (UA), mode selection (MS), and bandwidth allocation (BA) problems in a novel and practical next-generation cellular network where two modes of semantic communication (SemCom) and conventional bit communication (BitCom) coexist, namely hybrid semantic/bit communication network (HSB-Net). Concretely, we first identify a unified performance metric of message throughput for both SemCom and BitCom links. Next, we comprehensively develop a knowledge matching-aware two-stage tandem packet queuing model and theoretically derive the average packet loss ratio and queuing latency. Combined with several practical constraints, we then formulate a joint optimization problem for UA, MS, and BA to maximize the overall message throughput of HSB-Net. Afterward, we propose an optimal resource management strategy by employing a Lagrange primal-dual method and devising a preference list-based heuristic algorithm. Finally, numerical results validate the performance superiority of our proposed strategy compared with different benchmarks.

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Le Xia, Yao Sun, Dusit Niyato, Lan Zhang, Lei Zhang, Muhammad Ali Imran. 2024-07-30. Hybrid Semantic/Bit Communication Based Networking Problem Optimization. https://arxiv.org/abs/2408.07820

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