• Title/Summary/Keyword: Access Point Selection

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Study on the Transmit Power, MMSE Receiver Filter, and Access Point Selection Optimization Algorithm

  • Oh, Changyoon
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.9
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    • pp.65-72
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    • 2021
  • We consider the joint optimization problem of transmit power level, MMSE receiver filter and access point(AP) selection for multi access points environment. In the previous work, transmit power and MMSE receiver filter were jointly optimized[1] and transmit power and best access point were optimized jointly[2]. For each case, the algorithm was proposed and its convergence which guarantees the minimum total transmit power was proved. In this paper, we further improve the algorithm by jointly optimizing three parameters. More specifically, 1) we propose the algorithm by considering transmit power, MMSE receiver filter and access point selection jointly. 2) we prove that the proposed algorithm guarantees convergence with minimum transmit power consumption. In the simulation results, it is shown that proposed algorithm outperforms two other algorithms, i.e., 1) algorithm with transmit power and MMSE receiver filter, and 2) algorithm with transmit power and best access point selection.

Transmit Power and Access Point Selection Algorithm: TA Link and AT Link (전송전력과 엑세스 포인트 선정 알고리즘: AT 링크와 TA 링크)

  • Oh, Changyoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.8
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    • pp.1022-1029
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    • 2020
  • We investigate the joint selection problem of the transmit power level and the best access point for multi-access points. We further reduce the transmit power by jointly optimizing the transmit power and the access point selection. Our aim is to minimize the total transmit power, while each terminal maintains minimum signal to interference ratio requirement. We observe that the optimum solution can be achieved through proposed iterative algorithm for both TA link and AT link. Simulation results show that proposed algorithm (joint optimization of transmit power level and access point) outperforms the algorithm which optimizes the transmit power only. We also observe that the duality between the TA link and AT link does not hold in multi-access points environment. Accordingly, the resulting power vectors and the access point vectors for TA link and AT link are different in general.

A Novel Cell Selection Technique Based on Game Theory for Femtocell System Resource Optimization (펨토셀시스템 자원 최적화를 위한 게임이론 기반 기지국 선택 기법)

  • Jang, Jeong-Gyu;Sohn, Insoo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39A no.11
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    • pp.652-659
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    • 2014
  • In this paper, we propose an access point selection method for mobile users in LTE-femtocell system. In wireless communication system, users want to receive good data service. In LTE-femtocell system, if users move a little, users can experience different data service. The proposed access point selection method help that if users move a little, users obtain the high capacity and that user selects access point that other user have not selected much and so obtains higher data service. We simulated in order to prove performance of the proposed access point selection metod. Simulation results show that in a situation that users are concentrated in order to obtain better data service users are seen scattered look. As a result, we confirm that the proposed access point selection method provides good data service to users.

Access Point Selection Algorithm for Densely Deployed IEEE 802.11 WLANs (IEEE 802.11 무선랜 환경에서의 AP 선택 알고리즘)

  • Kim, Gyul;Lee, SuKyoung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.6
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    • pp.707-713
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    • 2016
  • In the IEEE 802.11 Wireless LAN environment, the common Access Point (AP) selection of the existing terminal is based on signal strength. However, the signal strength-based AP selection method does not ensure an optimal data rate. Recently, several AP selection methods to solve this problem have been suggested. However, when we select AP, these have a latency problem and don't consider dense environments of AP. In this paper, we confirm the problem of the conventional AP selection about the signal strength and the throughput through the actual measurement, and propose algorithm that selects AP by scoring link speed and wireless round trip time to compensate the problem. Furthermore, the proposed AP selection algorithm through the actual experiment proves the improved performance as compared with the existing methods.

A Novel Access Point Selection Policy for Load Balancing in IEEE 802.11 WLANs (IEEE 802.11 WLANs 환경에서 핫스팟의 혼잡을 분산하는 AP 선택정책)

  • Lee, Kwang-Gyo;Choi, Chang-Yeol
    • Journal of Industrial Technology
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    • v.28 no.A
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    • pp.105-111
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    • 2008
  • A typical AP (Access Point) selection policy is to select an AP based on the received signal strength indicator (RSSI), ignoring its load. If multiple stations are deployed densely at a particular area, a typical AP selection policy will bring about the overall network throughput degradation. This paper proposes a novel AP selection policy taking into consideration not only signal strength of the APs but also AP loads to avoid Hotspot congestion. An experiment on Alinker implementing proposed AP selection policy, demonstrates that the proposed policy achieves close to optimal load balancing and grants the maximum transmission rate to stations in comparison with SSF (Strongest-Signal-First) and LLF (Least-Loaded-First).

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Optimization of Transmit Power, Receiver Filter, and Access Point Selection (전송전력, 수신필터, 엑세스 포인트 선택 최적화)

  • Oh, Changyoon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.07a
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    • pp.201-202
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    • 2021
  • 본 논문에서는 다중 엑세스 포인트 환경에서 전송전력, 수신필터, 엑세스 포인트 선정 최적화 알고리즘을 제안한다. 최종목적은 신호대간섭비를 유지하면서, 전송전력의 총합을 최소화하는 것이다. 증명을 통해서 제안하는 알고리즘은 최소전력에 수렴함을 보인다. 제안하는 알고리즘이 기존에 제안되었던 두 개의 알고리즘인 1)전송전력과 최소제곱평균오차(MMSE) 수신필터 최적화 알고리즘, 2) 전송전력 최적화 알고리즘보다 전송전력 소모량에서 성능이 우수함을 실험을 통해서 확인하였다.

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Implementation of Access Point Selection Policy for Congestion Relief in IEEE 802.11 WLANs (혼잡분산을 고려한 IEEE 802.11 Access Point 선택정책)

  • Lee, Kwang-Gyo;Choi, Chang-Yeol
    • Proceedings of the Korea Information Processing Society Conference
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    • 2007.11a
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    • pp.1096-1099
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    • 2007
  • 무선LAN 환경에서는 대체로 AP(Access Point)의 신호세기 만으로 사용할 AP를 선택하므로, 모바일 노드 사용이 한 영역으로 집중되면 특정 AP에 혼잡이 초래되어 전체 네트워크의 사용 효율이 저하된다. 본 논문에서는 각 AP의 부하 정보를 이용해 핫스팟의 혼잡을 분산시키고 AP의 데이터 전송속도를 최대한 보장하는 AP 선택 정책을 제안하고 이를 응용하는 시스템을 구현하였다. 실측 데이터를 적용하여 시험한 결과, AP의 혼잡이 분산되고 네트워크 사용 효율이 기존 방식보다 우수함을 확인하였다.

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The study for improvement of traffic performance based on load balancing in wireless LAN (로드발랜싱기반 무선랜의 트래픽 성능 향상에 관한 연구)

  • Park, Chi-Ho;Oh, Young-Hwan
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.43 no.2 s.344
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    • pp.1-6
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    • 2006
  • This paper proposes association algorithm using load balancing for efficient AP selection under environment of wireless local area network(WLAN). Our scheme measures arrival time of association information when establishing the connection between access points and access terminal, analyzes the load condition of AP, and applies load balancing. AT selects and sets up low traffic AP by measuring traffic of connected access terminal, which can prevent over-franc of access points under hotspot environment that users access simultaneously. According to the above-described selection in a high speed wireless Internet service based on public WLAN technologies that are currently in operations. Further, it is possible to improve the efficiency of network management.

Opportunistic Spectrum Access with Dynamic Users: Directional Graphical Game and Stochastic Learning

  • Zhang, Yuli;Xu, Yuhua;Wu, Qihui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.12
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    • pp.5820-5834
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    • 2017
  • This paper investigates the channel selection problem with dynamic users and the asymmetric interference relation in distributed opportunistic spectrum access systems. Since users transmitting data are based on their traffic demands, they dynamically compete for the channel occupation. Moreover, the heterogeneous interference range leads to asymmetric interference relation. The dynamic users and asymmetric interference relation bring about new challenges such as dynamic random systems and poor fairness. In this article, we will focus on maximizing the tradeoff between the achievable utility and access cost of each user, formulate the channel selection problem as a directional graphical game and prove it as an exact potential game presenting at least one pure Nash equilibrium point. We show that the best NE point maximizes both the personal and system utility, and employ the stochastic learning approach algorithm for achieving the best NE point. Simulation results show that the algorithm converges, presents near-optimal performance and good fairness, and the directional graphical model improves the systems throughput performance in different asymmetric level systems.

QoS-Oriented Handoff Algorithm in IEEE 802.11 Wireless LAN (IEEE 802.11 무선랜에서 서비스 질(QoS) 지향적인 핸드오프 알고리즘에 관한 연구)

  • Choi Haeng-Keol;Kim Il-Hwan;Seo Seung-Woo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.6B
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    • pp.338-348
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    • 2005
  • Currently, IEEE 802.11 Wireless LAN (WLAN) is rising as the most popular means for the broadband wireless access network. In this thesis, we propose a QoS(Quality of Service)-Oriented mechanism using handshaking method of scanning phase in IEEE 802.11 handoff. In conventional process for handoff, the major criterion to select the best AP(Access Point) among candidates is normally based on the RSS(Received Signal Strength), which does not always make the selected network guarantee the maximum achievable performance. Even though the link quality with a neighboring AP is excellent, the AP may not be a good candidate to handoff to simply because MAC(Medium Access Control) protocol of IEEE 802.11 standard is contention-based such as CSMA/CA. Therefore, if we apply network level information to AP selection criteria, we can achieve better handoff efficiency rather than before. The analysis and simulation results applied to our new mechanism show clearly better performance than AP selection based on traditional handoff method.