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Dynamic association for load balancing and interference avoidance in multi-cell networks

Published: 01 July 2009 Publication History

Abstract

Next-generation cellular networks will provide higher cell capacity by adopting advanced physical layer techniques and broader bandwidth. Even in such networks, boundary users would suffer from low throughput due to severe inter-cell interference and unbalanced user distributions among cells, unless additional schemes to mitigate this problem are employed. In this paper, we tackle this problem by jointly optimizing partial frequency reuse and load-balancing schemes in a multi-cell network. We formulate this problem as a network-wide utility maximization problem and propose optimal offline and practical online algorithms to solve this. Our online algorithm turns out to be a simple mixture of inter- and intra-cell handover mechanisms for existing users and user association control and cell-site selection mechanisms for newly arriving users. A remarkable feature of the proposed algorithm is that it uses a notion of expected throughput as the decision making metric, as opposed to signal strength in conventional systems. Extensive simulations demonstrate that our online algorithm can not only closely approximate network-wide proportional fairness but also provide two types of gain, interference avoidance gain and load balancing gain, which yield 20-100% throughput improvement of boundary users (depending on traffic load distribution), while not penalizing total system throughput. We also demonstrate that this improvement cannot be achieved by conventional systems using universal frequency reuse and signal strength as the decision making metric.

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Published In

cover image IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications  Volume 8, Issue 7
July 2009
574 pages

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IEEE Press

Publication History

Published: 01 July 2009
Accepted: 16 April 2009
Revised: 10 March 2008
Received: 15 October 2007

Author Tags

  1. ICI avoidance
  2. Inter-cell interference (ICI)
  3. association
  4. inter-cell interference (ICI)
  5. load balancing
  6. multi-cell network
  7. network utility maximization
  8. network utility maximization.
  9. network-wide proportional fairness

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  • (2023)Joint resource allocation and user association for multi-cell integrated sensing and communication systemsEURASIP Journal on Wireless Communications and Networking10.1186/s13638-023-02264-12023:1Online publication date: 21-Jul-2023
  • (2023)Joint Uplink–Downlink Capacity and Coverage Optimization via Site-Specific Learning of Antenna SettingsIEEE Transactions on Wireless Communications10.1109/TWC.2023.331391623:5(4032-4048)Online publication date: 18-Sep-2023
  • (2022)α-Fairness-Maximizing User Association in Energy-Constrained Small Cell NetworksIEEE Transactions on Wireless Communications10.1109/TWC.2022.315869421:9(7443-7459)Online publication date: 1-Sep-2022
  • (2022)Survey on positioning information assisted mmWave beamforming trainingAd Hoc Networks10.1016/j.adhoc.2022.102947135:COnline publication date: 1-Oct-2022
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  • (2018)Joint distributed cell association and interference management in OFDMA‐based heterogeneous networksTransactions on Emerging Telecommunications Technologies10.1002/ett.343929:9Online publication date: 7-Sep-2018
  • (2017)Joint Uplink Base Station Association and Power Control for Small-Cell Networks With Non-Orthogonal Multiple AccessIEEE Transactions on Wireless Communications10.1109/TWC.2017.266483216:9(5567-5582)Online publication date: 1-Sep-2017
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