Fairness-based user association and resource blocks allocation in satellite–terrestrial integrated networks

Tariq, Zarrar; Khan, Humayun Zubair; Fakhar, Umair; Ali, Mudassar; Akhtar, Ahmad Naeem; Naeem, Muhammad; Wakeel, Abdul

doi:10.1016/j.phycom.2022.101934

Cited by 4 publications

(3 citation statements)

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“…In [9], authors address relay selection in dense heterogeneous networks to manage load balancing fairness, yet their focus is mainly oriented to device-to-device communications. However, with the approaches of [8] and [9], a minimum service level for users cannot be guaranteed, different from what addressed in our work.…”

Section: Related Workmentioning

confidence: 68%

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Exact Resource Allocation for Fair Wireless Relay

Arribas,

Mancuso,

Cholvi

2024

IEEE Commun. Lett.

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In relay-enabled cellular networks, the intertwined nature of network agents calls for complex schemes to allocate wireless resources. Resources need to be distributed among mobile users while considering how relay resources are allocated, and constrained by the traffic rate achievable by base stations and over backhaul links. In this letter, we derive an exact resource allocation scheme that achieves max max max-min min min fairness across mobile users, found with a linear complexity with respect to the number of mobile users and relays. The results reveal that the proposed scheme remarkably outperforms current solutions.

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Section: Related Workmentioning

confidence: 68%

“…In [8], the authors consider satellite-terrestrial relay networks in which rates are maximized under fairness constraints for user association and spectrum allocation. However, the complexity leads them to resort to heuristics that are suboptimal, unless infinite iterations are run, which results impractical.…”

Section: Related Workmentioning

confidence: 99%

Exact Resource Allocation for Fair Wireless Relay

Arribas,

Mancuso,

Cholvi

2024

IEEE Commun. Lett.

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show abstract

“…Then Algorithms 1 and 3 are implemented for CUs grouping and D2D admission, respectively. We chose R-RBs to compare with due to its widespread use in the literature assuming its simplicity and highest fairness [68] with the equal RBs allocation. However, our numerical results highlight the performance decline overlooked when considering it.…”

Section: Performance Comparison Of the Proposed Solutionmentioning

confidence: 99%