The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Propomos usar o alinhamento de interferência agrupado para a situação em que a capacidade do link de backhaul é limitada e a estação base é habilitada para cache, dados os canais de interferência MIMO, quando o número de pares Tx-Rx excede a restrição de viabilidade do alinhamento de interferência. Otimizamos o clustering com o algoritmo de restrição flexível de tamanho de cluster adicionando um processo de balanceamento de tamanho de cluster. Além disso, a sobrecarga do CSI é quantificada como um indicador de desempenho do sistema juntamente com o rendimento médio. Os resultados da simulação mostram que o algoritmo de balanceamento de tamanho de cluster gera clusters que são mais balanceados, além de atingir maior rendimento de longo prazo do que o algoritmo de restrição suave de tamanho de cluster. O rendimento de longo prazo é melhorado ainda mais sob alto SNR, realocando a capacidade dos links de backhaul com base nos resultados do agrupamento.
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
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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},}
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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 -