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http://dx.doi.org/10.9723/jksiis.2020.25.2.049

Transmit Power Control for Multi-Access Points Environment  

Oh, Changyoon (인하공업전문대학 정보통신과)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.25, no.2, 2020 , pp. 49-56 More about this Journal
Abstract
We investigate the transmit power control algorithm for multi-access points environment. Each terminal may transmit a signal to one of these access points. Each access point may receive a signal from desired terminals as well as interference from neighbor terminals. In this paper, a transmit power control algorithm is developed such that the total transmit power is minimized, while each terminal meets the target signal to interference ratio (SIR) requirement. In particular, the effect of increasing the number of access-points on the total transmit power consumption is analyzed. Based on this analysis, we propose a convergence guaranteed power control algorithm. We prove that the proposed iterative algorithm always converges to the target SIR. In addition, we show that the proposed algorithm optimizes the transmit power level. Simulation results show that the proposed algorithm guarantees convergence regardless of the number of access points. We also observed that increasing the number of access points reduces the total transmit power consumption.
Keywords
Access point; Convergence; Power control; SIR; Transmit power;
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Times Cited By KSCI : 3  (Citation Analysis)
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1 Choi, H. (2012). CUCE: Clustering Protocol using Node Connectivity and Node Energy, Journal of the Korea Industrial Information Systems Research, 17(4), 41-50.   DOI
2 Chung, S., and Joe, I. (2015). Intelligent Transmission Power Allocation for Distributed Beamforming in Wireless Sensor Networks, International Journal of Distributed Sensor Networks, 11(6), 1-10.
3 Du, R., Ozcelikkale, A., Fischione C., and Xiao, M. (2018). Towards Immortal Wireless Sensor Networks by Optimal Energy Beamforming and Data Routing, IEEE Transactions on Wireless Communications, 17(8), 5338-5352.   DOI
4 Hermeto, R., Gallais, A., and Theoleyre, F. (2017). Scheduling for IEEE802.15.4-TSCH and Slow Channel Hopping MAC in Low Power Industrial Wireless Networks: A Survey, Computer Communications, 114, 84-105.   DOI
5 Hua, Q., and Lau, F. (2010). Joint Link Scheduling and Topology Control for Wireless Sensor Networks with SINR Constraints, Handbook of Research on Developments and Trends in Wireless Sensor Networks: From Principle to Practice, IGI Global, pp. 184-208.
6 Kralevska, K., Vergados, D. J., Jiang, Y., and Michalas, A. (2018). Load Balancing Algorithm for Resource Allocation in IEEE 802.15.4e Networks, 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), pp. 675-680.
7 Barcelo, M., Correa, A., Vicario, J., and Morell, A. (2015). Joint Routing, Channel Allocation and Power Control for Real-Life Wireless Sensor Networks, IEEE Transactions on Emerging Telecommunications Technologies, 26(5), 945-956.   DOI
8 Son, B., and Kim, J. (2004). Energy Efficient Routing Protocol in Wireless Sensor Network, Journal of the Korea Industrial Information Systems Research, 9(2), 65-73.
9 Cha, H. (2014). A Design of an Energy-Efficient Application Protocol for the Sensor Networks, Journal of the Korea Industrial Information Systems Research, 19(2), 23-30.   DOI
10 Razali, S. M., Mamat, K., Abdul-Basit K., and Ali, F. H. M. (2014). Performance Enhancement of Wireless Sensor Network (WSN) with the Implementation of Hybrid ARQ (HARQ) and Transmission Power Control (TPC), 2014 IEEE Conference on Wireless Sensors (ICWiSE) , pp. 36-40.
11 Yoo, S. (2012). A Software Framework for Verifying Sensor Network Operating and Sensing Algorithms, Journal of the Korea Industrial Information Systems Research, 17(1), 63-71.   DOI
12 Yates, R. (1996). A Framework for Uplink Power Control in Cellular Radio Systems, IEEE Journal on Selected Areas in Communications, 13(7), 1341-1347.   DOI
13 Hwang, R. H., Wang, C. C., and Wang, W. B. (2017). A Distributed Scheduling Algorithm for IEEE 802.15.4e Wireless Sensor Networks, Computer Standards & Interfaces, 52, 63-70.   DOI
14 Jayaprakasam, S., Rahim, S., and Leow, C. (2017). Distributed and Collaborative Beamforming in Wireless Sensor Networks: Classifications, Trends, and Research Directions, IEEE Communications Surveys & Tutorials, 19(4), 2092-2116.   DOI