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Statistically robus...
Statistically robust resource allocation for distributed multi-carrier cooperative networks
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- ChengWen, Xing (author)
- Beijing Institute of Technology, China
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- ZeSong, Fei (author)
- Beijing Institute of Technology, China
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- Na, Li (author)
- Beijing Institute of Technology, China
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- YanTao, Han (author)
- Beijing Institute of Technology, China
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- Danev, Danyo, 1973- (author)
- Linköpings universitet,Kommunikationssystem,Tekniska högskolan
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- JingMing, Kuang (author)
- Beijing Institute of Technology, China
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(creator_code:org_t)
- 2013-06-22
- 2013
- English.
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In: Science China Information Sciences. - : Springer. - 1674-733X .- 1869-1919. ; 56:2, s. 109-121
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- In this paper, we investigate joint subcarrier and power allocation scheme for distributed multi-carrier cooperative networks with imperfect channel state information. Using practical channel estimation algorithms, the statistic model of the channel estimation error is first derived. Then based on the channel error model, the resource allocation scheme aims at maximizing the sum rate of the overall network. Specifically, both subcarrier allocation and power allocation are taken into account. In the subcarrier allocation, a realistic problem of the power leakage between neighboring subcarriers is also addressed. Furthermore, based on Lagrange dual-decomposition algorithm, a practical power allocation algorithm is proposed. Finally, the simulation results demonstrate the performance advantages of the proposed robust design.
Keyword
- efficient resource assignment
- robust power allocation
- orthogonal frequency division multiple access
- cooperative radio
- multi-carrier
- TECHNOLOGY
- TEKNIKVETENSKAP
Publication and Content Type
- ref (subject category)
- art (subject category)
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