Semantic Enabled 6G LEO Satellite Communication for Earth Observation: A Resource-Constrained Network Optimization
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| Main Authors: | , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866915202485714944 |
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| author | Hassan, Sheikh Salman Nguyen, Loc X. Tun, Yan Kyaw Han, Zhu Hong, Choong Seon |
| author_facet | Hassan, Sheikh Salman Nguyen, Loc X. Tun, Yan Kyaw Han, Zhu Hong, Choong Seon |
| contents | Earth observation satellites generate large amounts of real-time data for monitoring and managing time-critical events such as disaster relief missions. This presents a major challenge for satellite-to-ground communications operating under limited bandwidth capacities. This paper explores semantic communication (SC) as a potential alternative to traditional communication methods. The rationality for adopting SC is its inherent ability to reduce communication costs and make spectrum efficient for 6G non-terrestrial networks (6G-NTNs). We focus on the critical satellite imagery downlink communications latency optimization for Earth observation through SC techniques. We formulate the latency minimization problem with SC quality-of-service (SC-QoS) constraints and address this problem with a meta-heuristic discrete whale optimization algorithm (DWOA) and a one-to-one matching game. The proposed approach for captured image processing and transmission includes the integration of joint semantic and channel encoding to ensure downlink sum-rate optimization and latency minimization. Empirical results from experiments demonstrate the efficiency of the proposed framework for latency optimization while preserving high-quality data transmission when compared to baselines. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2408_03959 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Semantic Enabled 6G LEO Satellite Communication for Earth Observation: A Resource-Constrained Network Optimization Hassan, Sheikh Salman Nguyen, Loc X. Tun, Yan Kyaw Han, Zhu Hong, Choong Seon Networking and Internet Architecture Signal Processing Earth observation satellites generate large amounts of real-time data for monitoring and managing time-critical events such as disaster relief missions. This presents a major challenge for satellite-to-ground communications operating under limited bandwidth capacities. This paper explores semantic communication (SC) as a potential alternative to traditional communication methods. The rationality for adopting SC is its inherent ability to reduce communication costs and make spectrum efficient for 6G non-terrestrial networks (6G-NTNs). We focus on the critical satellite imagery downlink communications latency optimization for Earth observation through SC techniques. We formulate the latency minimization problem with SC quality-of-service (SC-QoS) constraints and address this problem with a meta-heuristic discrete whale optimization algorithm (DWOA) and a one-to-one matching game. The proposed approach for captured image processing and transmission includes the integration of joint semantic and channel encoding to ensure downlink sum-rate optimization and latency minimization. Empirical results from experiments demonstrate the efficiency of the proposed framework for latency optimization while preserving high-quality data transmission when compared to baselines. |
| title | Semantic Enabled 6G LEO Satellite Communication for Earth Observation: A Resource-Constrained Network Optimization |
| topic | Networking and Internet Architecture Signal Processing |
| url | https://arxiv.org/abs/2408.03959 |