IEICE TRANSACTIONS on Communications
Clustering for Interference Alignment with Cache-Enabled Base Stations under Limited Backhaul Links
Summary :
We propose to use clustered interference alignment for the situation where the backhaul link capacity is limited and the base station is cache-enabled given MIMO interference channels, when the number of Tx-Rx pairs exceeds the feasibility constraint of interference alignment. We optimize clustering with the soft cluster size constraint algorithm by adding a cluster size balancing process. In addition, the CSI overhead is quantified as a system performance indicator along with the average throughput. Simulation results show that cluster size balancing algorithm generates clusters that are more balanced as well as attaining higher long-term throughput than the soft cluster size constraint algorithm. The long-term throughput is further improved under high SNR by reallocating the capacity of the backhaul links based on the clustering results.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E103-B No.7 pp.796-803
- Publication Date
- 2020/07/01
- Publicized
- 2019/12/25
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2019EBP3124
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
Authors
Junyao RAN
Nanjing University of Posts and Telecommunications
Youhua FU
Nanjing University of Posts and Telecommunications
Hairong WANG
Nanjing University of Posts and Telecommunications
Chen LIU
Nanjing University of Posts and Telecommunications,National and Local Joint Engineering Laboratory of RF Integration and Micro-Assembly Technology
Keyword
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Junyao RAN, Youhua FU, Hairong WANG, Chen LIU, "Clustering for Interference Alignment with Cache-Enabled Base Stations under Limited Backhaul Links" in IEICE TRANSACTIONS on Communications,
vol. E103-B, no. 7, pp. 796-803, July 2020, doi: 10.1587/transcom.2019EBP3124.
Abstract: We propose to use clustered interference alignment for the situation where the backhaul link capacity is limited and the base station is cache-enabled given MIMO interference channels, when the number of Tx-Rx pairs exceeds the feasibility constraint of interference alignment. We optimize clustering with the soft cluster size constraint algorithm by adding a cluster size balancing process. In addition, the CSI overhead is quantified as a system performance indicator along with the average throughput. Simulation results show that cluster size balancing algorithm generates clusters that are more balanced as well as attaining higher long-term throughput than the soft cluster size constraint algorithm. The long-term throughput is further improved under high SNR by reallocating the capacity of the backhaul links based on the clustering results.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2019EBP3124/_p
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@ARTICLE{e103-b_7_796,
author={Junyao RAN, Youhua FU, Hairong WANG, Chen LIU, },
journal={IEICE TRANSACTIONS on Communications},
title={Clustering for Interference Alignment with Cache-Enabled Base Stations under Limited Backhaul Links},
year={2020},
volume={E103-B},
number={7},
pages={796-803},
abstract={We propose to use clustered interference alignment for the situation where the backhaul link capacity is limited and the base station is cache-enabled given MIMO interference channels, when the number of Tx-Rx pairs exceeds the feasibility constraint of interference alignment. We optimize clustering with the soft cluster size constraint algorithm by adding a cluster size balancing process. In addition, the CSI overhead is quantified as a system performance indicator along with the average throughput. Simulation results show that cluster size balancing algorithm generates clusters that are more balanced as well as attaining higher long-term throughput than the soft cluster size constraint algorithm. The long-term throughput is further improved under high SNR by reallocating the capacity of the backhaul links based on the clustering results.},
keywords={},
doi={10.1587/transcom.2019EBP3124},
ISSN={1745-1345},
month={July},}
Copy
TY - JOUR
TI - Clustering for Interference Alignment with Cache-Enabled Base Stations under Limited Backhaul Links
T2 - IEICE TRANSACTIONS on Communications
SP - 796
EP - 803
AU - Junyao RAN
AU - Youhua FU
AU - Hairong WANG
AU - Chen LIU
PY - 2020
DO - 10.1587/transcom.2019EBP3124
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E103-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2020
AB - We propose to use clustered interference alignment for the situation where the backhaul link capacity is limited and the base station is cache-enabled given MIMO interference channels, when the number of Tx-Rx pairs exceeds the feasibility constraint of interference alignment. We optimize clustering with the soft cluster size constraint algorithm by adding a cluster size balancing process. In addition, the CSI overhead is quantified as a system performance indicator along with the average throughput. Simulation results show that cluster size balancing algorithm generates clusters that are more balanced as well as attaining higher long-term throughput than the soft cluster size constraint algorithm. The long-term throughput is further improved under high SNR by reallocating the capacity of the backhaul links based on the clustering results.
ER -
English
