A low complexity configuration selection algorithm in IA-aided uplink coordinated multipoint systems

Ming-Chun Lee; Chung-Jung Huang; Wei-Ho Chung; Ta-Sung Lee

doi:10.1109/VTCSpring.2014.7022780

A low complexity configuration selection algorithm in IA-aided uplink coordinated multipoint systems

Ming-Chun Lee^*, Chung-Jung Huang, Wei-Ho Chung, Ta-Sung Lee

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

This work investigates the configuration selection in IA-aided UL CoMP systems which pursues the maximal achievable sum rate. The configuration is defined by the number of data streams transmitted in each user. Intuitively, the solution can be found by exhaustively calculating the achievable sum rate for all the possible configurations, and select the configuration leading to the maximal achievable sum rate. The exhaustive search method is infeasible due to its high complexity. Based on the characteristics of IA-aided UL CoMP systems, an algorithm is proposed to obtain the configuration with extremely low complexity, and the proposed approach achieves comparable performance as in exhaustive method.

Original language	English
Article number	7022780
Number of pages	5
Journal	IEEE Vehicular Technology Conference
Volume	2015-January
Issue number	January
DOIs	https://doi.org/10.1109/VTCSpring.2014.7022780
State	Published - May 2014
Event	2014 79th IEEE Vehicular Technology Conference, VTC 2014-Spring - Seoul, Korea, Republic of Duration: 18 May 2014 → 21 May 2014

Keywords

CoMP
Cooperative multipoint system
IA
Low complexity
LTE-A
MIMO

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10.1109/VTCSpring.2014.7022780

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title = "A low complexity configuration selection algorithm in IA-aided uplink coordinated multipoint systems",

abstract = "This work investigates the configuration selection in IA-aided UL CoMP systems which pursues the maximal achievable sum rate. The configuration is defined by the number of data streams transmitted in each user. Intuitively, the solution can be found by exhaustively calculating the achievable sum rate for all the possible configurations, and select the configuration leading to the maximal achievable sum rate. The exhaustive search method is infeasible due to its high complexity. Based on the characteristics of IA-aided UL CoMP systems, an algorithm is proposed to obtain the configuration with extremely low complexity, and the proposed approach achieves comparable performance as in exhaustive method.",

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AB - This work investigates the configuration selection in IA-aided UL CoMP systems which pursues the maximal achievable sum rate. The configuration is defined by the number of data streams transmitted in each user. Intuitively, the solution can be found by exhaustively calculating the achievable sum rate for all the possible configurations, and select the configuration leading to the maximal achievable sum rate. The exhaustive search method is infeasible due to its high complexity. Based on the characteristics of IA-aided UL CoMP systems, an algorithm is proposed to obtain the configuration with extremely low complexity, and the proposed approach achieves comparable performance as in exhaustive method.

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A low complexity configuration selection algorithm in IA-aided uplink coordinated multipoint systems

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Keywords

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