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Joint Optimization of FeICIC and Spectrum Allocation for Spectral and Energy Efficient Heterogeneous Networks
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- NIE Xuefang
- Shenzhen Graduate School, Harbin Institute of Technology
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- WANG Yang
- Shenzhen Graduate School, Harbin Institute of Technology
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- DING Liqin
- Shenzhen Graduate School, Harbin Institute of Technology
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- ZHANG Jiliang
- School of Information Science and Engineering, Lanzhou University
Bibliographic Information
- Published
- 2018-06-01
- DOI
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- 10.1587/transcom.2017ebp3175
- Publisher
- The Institute of Electronics, Information and Communication Engineers
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Description
<p>Cellular heterogeneous networks (HetNets) with densely deployed small cells can effectively boost network capacity. The co-channel interference and the prominent energy consumption are two crucial issues in HetNets which need to be addressed. Taking the traffic variations into account, this paper proposes a theoretical framework to analyze spectral efficiency (SE) and energy efficiency (EE) considering jointly further-enhanced inter-cell interference coordination (FeICIC) and spectrum allocation (SA) via a stochastic geometric approach for a two-tier downlink HetNet. SE and EE are respectively derived and validated by Monte Carlo simulations. To create spectrum and energy efficient HetNets that can adapt to traffic demands, a non-convex optimization problem with the power control factor, resource partitioning fraction and number of subchannels for the SE and EE tradeoff is formulated, based on which, an iterative algorithm with low complexity is proposed to achieve the sub-optimal solution. Numerical results confirm the effectiveness of the joint FeICIC and SA scheme in HetNets. Meanwhile, a system design insight on resource allocation for the SE and EE tradeoff is provided.</p>
Journal
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- IEICE Transactions on Communications
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IEICE Transactions on Communications E101.B (6), 1462-1475, 2018-06-01
The Institute of Electronics, Information and Communication Engineers
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Keywords
Details 詳細情報について
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- CRID
- 1390001288036024064
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- NII Article ID
- 130007382446
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- ISSN
- 17451345
- 09168516
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed
