Effective Capacity Analysis of Joint Near and Far-Field Communication in 6G URLLC Networks
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866918198053437440 |
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| author | Hameed, Humera Aman, Waqas Rahman, Muhammad Mahboob Ur Nasir, Ali Arshad |
| author_facet | Hameed, Humera Aman, Waqas Rahman, Muhammad Mahboob Ur Nasir, Ali Arshad |
| contents | The emergence of 6G networks enables simultaneous near-field and far-field communications through extremely large antenna arrays and high carrier frequencies. While these regimes enhance spatial multiplexing and link capacity, their coexistence poses new challenges in ensuring quality-of-service (QoS) guarantees for delay-sensitive applications. This paper presents an effective capacity (EC) analysis framework that jointly models near- and far-field communication regimes under distance estimation uncertainty. The user location is modeled as a random variable spanning both propagation regions, and tractable closed-form expression for the EC is derived to quantify delay performance. Numerical results illustrate the impact of estimation variance, QoS exponent, far-field boundary and near-field boundary (Fraunhofer distance) on EC performance. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_08237 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Effective Capacity Analysis of Joint Near and Far-Field Communication in 6G URLLC Networks Hameed, Humera Aman, Waqas Rahman, Muhammad Mahboob Ur Nasir, Ali Arshad Signal Processing The emergence of 6G networks enables simultaneous near-field and far-field communications through extremely large antenna arrays and high carrier frequencies. While these regimes enhance spatial multiplexing and link capacity, their coexistence poses new challenges in ensuring quality-of-service (QoS) guarantees for delay-sensitive applications. This paper presents an effective capacity (EC) analysis framework that jointly models near- and far-field communication regimes under distance estimation uncertainty. The user location is modeled as a random variable spanning both propagation regions, and tractable closed-form expression for the EC is derived to quantify delay performance. Numerical results illustrate the impact of estimation variance, QoS exponent, far-field boundary and near-field boundary (Fraunhofer distance) on EC performance. |
| title | Effective Capacity Analysis of Joint Near and Far-Field Communication in 6G URLLC Networks |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2511.08237 |