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Fairness and load balancing in wireless LANs using association control
Abstract
Recent studies on operational wireless LANs (WLANs) have shown that user load is often unevenly distributed among wireless access points (APs). This unbalanced load results in unfair bandwidth allocation among users. We observe that the unbalanced load and unfair bandwidth allocation can be greatly alleviated by intelligently associating users to APs, termed association control, rather than having users greedily associate APs of best received signal strength.In this study, we present an efficient algorithmic solution to determine the user-AP associations that ensure max-min fair bandwidth allocation. We provide a rigorous formulation of the association control problem that considers bandwidth constraints of both the wireless and backhaul links. Our formulation indicates the strong correlation between fairness and load balancing, which enables us to use load balancing techniques for obtaining near optimal max-min fair bandwidth allocation. Since this problem is NP-hard, we present algorithms that achieve a constant-factor approximate max-min fair bandwidth allocation. First, we calculate a fractional load balancing solution, where users can be associated with multiple APs simultaneously. This solution guarantees the fairest bandwidth allocation in terms of max-min fairness. Then, by utilizing a rounding method we obtain an efficient integral association. In particular, we provide a 2-approximation algorithm for unweighted greedy users and a 3-approximation algorithm for weight…
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“Previous works in CPU scheduling [21] and wireless LANs bandwidth sharing [2] also demonstrate the effectiveness of such design.”
From Locality-aware Fair Scheduling in LLM Serving (2025) · cites this paper as [2]
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“In such a decentralized design, the local worker can directly run a fair scheduling algorithm (e.g., DLPM); as long as the global scheduler can balance the per-client service on all the local workers, we could achieve global fairness guarantees [2].”
From Locality-aware Fair Scheduling in LLM Serving (2025) · cites this paper as [2]
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Cited by
Sorted by citations
Locality-aware Fair Scheduling in LLM Serving
Cao, S., Wang, Y., Mao, Z., Hsu, P.-L., Yin, L., Xia, T., Li, D., Liu, S., Zhang, Y., Zhou, Y., et al. (2025) · arXiv · doi:10.48550/arxiv.2501.14312
Metadata
- Authors
- Bejerano, Y., Han, S.-J., & Li, L. (.
- Affiliations
- Bell Laboratories, Lucent Technologies, Murray Hill, NJ
- Venue
- Proceedings of the 10th annual international conference on Mobile computing and networking
- Publisher
- ACM
- Published
- 2004-09-26
- Pages
- 315-329
- ISSN
- 1543-5679 (ISSN-L)
- OpenAlex
- W1980776940
- Cited by
- 333
- References
- 0
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 2 · 2023: 2 · 2022: 5 · 2021: 5 · 2020: 5 · 2019: 11 · 2018: 13 · 2017: 16 · 2016: 10 · 2015: 20 · 2014: 28 · 2013: 22 · 2012: 25
- FWCI
- 10.44
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- ACM Annual International Conference on Mobile Computing and Networking (MobiCom) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Wireless Networks and Protocols
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Network Optimization
- Physical Sciences › Computer Science › Computer Networks and Communications › Mobile Ad Hoc Networks
- Keywords
- wireless LAN, load balancing, max-min fairness, bandwidth allocation, approximation algorithms, rounding, NP-hardness
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- The paper
- Bejerano, Y., Han, S.-J., & Li, L. (. (2004). Fairness and load balancing in wireless LANs using association control. Proceedings of the 10th annual international conference on Mobile computing and networking. https://doi.org/10.1145/1023720.1023751