• Title/Summary/Keyword: SGINR

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A Study on the Distributed Scheduling based on SGINR with Interference-Aware Power Control for Uplink Multi-cell Networks (다중셀 상향링크 네트워크에서 전력제어 기술을 이용한 SGINR기반 분산 사용자 스케쥴링에 관한 연구)

  • Cho, Moon-Je;Ban, Tae-Won;Jung, Bang Chul
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.37-39
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    • 2015
  • In this paper, we propose a distributed user scheduling with interference-aware power control (IAPC) to maximize signal to generating interference plus noise ratio (SGINR) in multi-cell uplink network. Assuming that the channel reciprocity time-division duplexing (TDD) system is used, the interference channel from users to other cell BSs is obtained at each user. In the proposed scheduling, each user reduces the transmit power if its generating interference to other BSs is larger than a predetermined threshold. Each BS selects the user with the largest SGINR among users. Simulation results show that the proposed technique significantly outperform the existing user scheduling algorithms.

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Joint User Scheduling and Power Control Considering Both Signal and Interference for Multi-Cell Networks (다중 셀 상향링크 네트워크에서 신호와 간섭을 동시에 고려하는 전력 제어 및 사용자 스케쥴링)

  • Cho, Moon-Je;Jung, Bang Chul;Ban, Tae-Won
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.3
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    • pp.477-483
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    • 2016
  • In this paper, we propose a distributed user scheduling with interference-aware power control (IAPC) to maximize signal to generating interference plus noise ratio (SGINR) in uplink multi-cell networks. Assuming that the channel reciprocity time-division duplexing (TDD) system is used, the channel state information (CSI) can be obtained at each user from pilot signals from other BSs. In the proposed scheduling, to be specific, each user reduces the transmit power if its generating interference to other BSs is larger than a predetermined threshold. Each BS selects the user with the largest SGINR among users. Simulation results show that the proposed technique significantly outperforms the existing user scheduling algorithms. It is worth noting that the proposed technique operates with distributed manner without information exchange among cells. Hence, it can be easily applied to the practical wireless systems like 3GPP LTE without significant modifications of the specification.