IEICE TRANSACTIONS on Communications
Effect of Power Allocation Schemes on MIMO Two-Way Multi-Hop Network
Summary :
Recently, wireless multi-hop network using MIMO two-way relaying technique has been attracted much attention owing to its high network efficiency. It is well known that the MIMO two-way multi-hop network (MTMN) can provide its maximum throughput in uniform topology of node location. However, in realistic environments with non-uniform topology, network capacity degrades severely due to unequal link quality. Furthermore, the end-to-end capacity also degrades at high SNR due to far (overreach) interference existing in multi-hop relay scenarios. In this paper, we focus on several power allocation schemes to improve the end-to-end capacity performance of MTMN with non-uniform topology and far interference. Three conventional power allocation schemes are reformulated and applied under the system model of MTMN. The first two are centralized methods, i.e., Eigenvector based Power Allocation (EPA) which employs linear algebra and Optimal Power Allocation (OPA) using convex optimization. The last one is Distributed Power Allocation (DPA) using game theory. It is found from numerical analyses that the power allocation schemes are effective for MTMN in terms of end-to-end capacity improvement, especially in non-uniform node arrangement and at high SNR.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E93-B No.12 pp.3362-3370
- Publication Date
- 2010/12/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E93.B.3362
- Type of Manuscript
- Special Section PAPER (Special Section on Wireless Distributed Networks)
- Category
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Jonghyun LEE, Gia Khanh TRAN, Kei SAKAGUCHI, Kiyomichi ARAKI, "Effect of Power Allocation Schemes on MIMO Two-Way Multi-Hop Network" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 12, pp. 3362-3370, December 2010, doi: 10.1587/transcom.E93.B.3362.
Abstract: Recently, wireless multi-hop network using MIMO two-way relaying technique has been attracted much attention owing to its high network efficiency. It is well known that the MIMO two-way multi-hop network (MTMN) can provide its maximum throughput in uniform topology of node location. However, in realistic environments with non-uniform topology, network capacity degrades severely due to unequal link quality. Furthermore, the end-to-end capacity also degrades at high SNR due to far (overreach) interference existing in multi-hop relay scenarios. In this paper, we focus on several power allocation schemes to improve the end-to-end capacity performance of MTMN with non-uniform topology and far interference. Three conventional power allocation schemes are reformulated and applied under the system model of MTMN. The first two are centralized methods, i.e., Eigenvector based Power Allocation (EPA) which employs linear algebra and Optimal Power Allocation (OPA) using convex optimization. The last one is Distributed Power Allocation (DPA) using game theory. It is found from numerical analyses that the power allocation schemes are effective for MTMN in terms of end-to-end capacity improvement, especially in non-uniform node arrangement and at high SNR.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.3362/_p
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@ARTICLE{e93-b_12_3362,
author={Jonghyun LEE, Gia Khanh TRAN, Kei SAKAGUCHI, Kiyomichi ARAKI, },
journal={IEICE TRANSACTIONS on Communications},
title={Effect of Power Allocation Schemes on MIMO Two-Way Multi-Hop Network},
year={2010},
volume={E93-B},
number={12},
pages={3362-3370},
abstract={Recently, wireless multi-hop network using MIMO two-way relaying technique has been attracted much attention owing to its high network efficiency. It is well known that the MIMO two-way multi-hop network (MTMN) can provide its maximum throughput in uniform topology of node location. However, in realistic environments with non-uniform topology, network capacity degrades severely due to unequal link quality. Furthermore, the end-to-end capacity also degrades at high SNR due to far (overreach) interference existing in multi-hop relay scenarios. In this paper, we focus on several power allocation schemes to improve the end-to-end capacity performance of MTMN with non-uniform topology and far interference. Three conventional power allocation schemes are reformulated and applied under the system model of MTMN. The first two are centralized methods, i.e., Eigenvector based Power Allocation (EPA) which employs linear algebra and Optimal Power Allocation (OPA) using convex optimization. The last one is Distributed Power Allocation (DPA) using game theory. It is found from numerical analyses that the power allocation schemes are effective for MTMN in terms of end-to-end capacity improvement, especially in non-uniform node arrangement and at high SNR.},
keywords={},
doi={10.1587/transcom.E93.B.3362},
ISSN={1745-1345},
month={December},}
Copy
TY - JOUR
TI - Effect of Power Allocation Schemes on MIMO Two-Way Multi-Hop Network
T2 - IEICE TRANSACTIONS on Communications
SP - 3362
EP - 3370
AU - Jonghyun LEE
AU - Gia Khanh TRAN
AU - Kei SAKAGUCHI
AU - Kiyomichi ARAKI
PY - 2010
DO - 10.1587/transcom.E93.B.3362
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2010
AB - Recently, wireless multi-hop network using MIMO two-way relaying technique has been attracted much attention owing to its high network efficiency. It is well known that the MIMO two-way multi-hop network (MTMN) can provide its maximum throughput in uniform topology of node location. However, in realistic environments with non-uniform topology, network capacity degrades severely due to unequal link quality. Furthermore, the end-to-end capacity also degrades at high SNR due to far (overreach) interference existing in multi-hop relay scenarios. In this paper, we focus on several power allocation schemes to improve the end-to-end capacity performance of MTMN with non-uniform topology and far interference. Three conventional power allocation schemes are reformulated and applied under the system model of MTMN. The first two are centralized methods, i.e., Eigenvector based Power Allocation (EPA) which employs linear algebra and Optimal Power Allocation (OPA) using convex optimization. The last one is Distributed Power Allocation (DPA) using game theory. It is found from numerical analyses that the power allocation schemes are effective for MTMN in terms of end-to-end capacity improvement, especially in non-uniform node arrangement and at high SNR.
ER -
English
