Centralized and distributed resource allocation in OFDM based multi-relay system

Rui YIN; Yu ZHANG; Guan-ding YU; Zhao-yang ZHANG; Jie-tao ZHANG

doi:10.1631/jzus.C0910405

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Centralized and distributed resource allocation in OFDM based multi-relay system

Communication Engineering | Updated：2022-08-31

- Centralized and distributed resource allocation in OFDM based multi-relay system
- Centralized and distributed resource allocation in OFDM based multi-relay system
- Frontiers of Information Technology & Electronic Engineering Vol. 11, Issue 6, Pages: 450-464(2010)
- Affiliations：
  
  1.Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China
  2.Wireless Research Department, Huawei Technologies Co., Ltd., Shenzhen 518129, China
- Author bio：
  
  E-mail:yinrui@zju.edu.cn
  ‡Corresponding Author
  ning_ming@zju.edu.cn
- Funds：
- DOI：10.1631/jzus.C0910405
  CLC：
- Received：05 July 2009，
  
  Revised：2010-05-04，
  
  Accepted：04 November 2009，
  
  Published：2010-06
- Accepted：
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Rui YIN, Yu ZHANG, Guan-ding YU, et al. Centralized and distributed resource allocation in OFDM based multi-relay system[J]. Frontiers of Information Technology & Electronic Engineering, 2010, 11(6): 450-464.
DOI：

Rui YIN, Yu ZHANG, Guan-ding YU, et al. Centralized and distributed resource allocation in OFDM based multi-relay system[J]. Frontiers of Information Technology & Electronic Engineering, 2010, 11(6): 450-464. DOI： 10.1631/jzus.C0910405.

摘要

Abstract

In the presence of multiple non-regenerative relays

we derived optimal joint power allocation

relay selection

and subchannel pairing schemes in orthogonal frequency division multiplexing (OFDM) based wireless networks. The Lagrange dual method was employed to design the optimal algorithm. First

the optimization problem was formulated for the single-relay system and the optimal centralized algorithm was presented by resolving the dual problem. Next

the optimal algorithm for a multi-relay system was proposed in a similar way. Compared with the exhaustive search method

the computational complexity of the proposed optimal algorithms was reduced from non-polynomial to polynomial time. Finally

the centralized algorithm was extended to the distributed algorithm

which was more feasible for the practical system. Simulation results verify our analysis.

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