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Adaptive scheduling scheme considering users' interference environment in TDD uplink cellular networks

시분할 이중화 상향 링크 셀룰러 네트워크에서 사용자의 간섭 환경을 고려한 적응적 스케쥴링 기법

  • Cho, Moon-Je (Department of Information and Communication Engineering, Gyeongsang National University) ;
  • Lee, Woongsup (Department of Information and Communication Engineering, Gyeongsang National University) ;
  • Kim, Seong Hwan (Department of Information and Communication Engineering, Gyeongsang National University) ;
  • Ryu, Jongyeol (Department of Information and Communication Engineering, Gyeongsang National University) ;
  • Ban, Tae-Won (Department of Information and Communication Engineering, Gyeongsang National University)
  • Received : 2017.06.14
  • Accepted : 2017.06.22
  • Published : 2017.08.31

Abstract

A conventional max SNR scheme, which allocates uplink resources to the user with the highest gain of desired signal channel with a serving base station (BS), exhibits excellent performance in low interference environments. On the other hand, max SGIR scheme, which allocates resources by considering both the desired signal chanel gain and users' interference generating to neighboring BSs, outperforms the max SNR in high interference environments. The conventional two scheduling schemes exhibit optimal performance in different interference environments. Thus, we propose an adaptive scheduling scheme in order to overcome disadvantages of the conventional schemes. In the proposed scheme, a user is selected by max SNR and then the user's generating interference is compared with a pre-determined threshold value. If the generating interference is larger than a pre-determined threshold, then a user is re-selected by max SGIR policy. Monte-Carlo simulation results reveals that the proposed scheme outperforms the conventional schemes in various interference environments.

서빙 기지국과의 자기 신호 채널 이득이 가장 큰 사용자를 선택하여 자원을 할당하는 기존의 max SNR 방식은 간섭 영향이 크지 않은 환경에서 우수한 성능을 나타내며, 서빙 기지국과의 자기 신호 채널 이득과 함께 사용자가 인접 셀의 기지국에 야기하는 간섭을 함께 고려하여 자원을 할당하는 max SGIR 방식은 간섭이 큰 환경에서 뛰어난 성능을 나타낸다. 이처럼, 기존의 자원할당 방식들은 각기 다른 간섭 환경에서 최적의 성능을 나타낸다. 본 논문에서는 이러한 기존 방식의 단점을 극복하기 위하여 적응적 스케쥴링 기법을 제안한다. 제안된 방식은 max SNR 기법에 따라서 사용자를 선택하며, 선택된 사용자 발생 간섭량이 특정 임계치보다 클 경우 max SGIR 방식에 따라서 새로운 사용자가 선택된다. Monte-Carlo 시뮬레이션을 통한 성능 분석 결과에 따르면 제안 방식은 다양한 간섭 환경에서 기존의 방식들 대비 항상 우수한 성능으로 최대 30%의 성능향상을 보였다.

Keywords

References

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