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A Survey of Self-optimization Approaches for HetNets
  • KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

A Survey of Self-optimization Approaches for HetNets

Vol. 9, No. 6, June 29, 2015
10.3837/tiis.2015.06.001, Download Paper (Free):

Abstract

Network convergence is regarded as the development tendency of the future wireless networks, for which self-organization paradigms provide a promising solution to alleviate the upgrading capital expenditures (CAPEX) and operating expenditures (OPEX). Self-optimization, as a critical functionality of self-organization, employs a decentralized paradigm to dynamically adapt the varying environmental circumstances while without relying on centralized control or human intervention. In this paper, we present comprehensive surveys of heterogeneous networks (HetNets) and investigate the enhanced self-optimization models. Self-optimization approaches such as dynamic mobile access network selection, spectrum resource allocation and power control for HetNets, etc., are surveyed and compared, with possible methodologies to achieve self-optimization summarized. We hope this survey paper can provide the insight and the roadmap for future research efforts in the self-optimization of convergence networks.


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Cite this article

[IEEE Style]
X. Chai, X. Xu and Z. Zhang, "A Survey of Self-optimization Approaches for HetNets," KSII Transactions on Internet and Information Systems, vol. 9, no. 6, pp. 1979-1995, 2015. DOI: 10.3837/tiis.2015.06.001.

[ACM Style]
Xiaomeng Chai, Xu Xu, and Zhongshan Zhang. 2015. A Survey of Self-optimization Approaches for HetNets. KSII Transactions on Internet and Information Systems, 9, 6, (2015), 1979-1995. DOI: 10.3837/tiis.2015.06.001.