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Resource Allocation Method for Improving Energy Efficiency and Receiver Fairness in Wireless Networks
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 Title & Authors
Resource Allocation Method for Improving Energy Efficiency and Receiver Fairness in Wireless Networks
Lee, Kisong; Cho, Dong-Ho; Chung, Byung Chang;
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 Abstract
In wireless networks, it is important to guarantee the energy efficiency and receiver fairness for satisfying service provider and customer at the same time. In this paper, we propose a resource allocation algorithm which improves energy efficiency as well as receiver fairness based on optimization techniques. In the proposed algorithm, subchannel and power are allocated to receivers iteratively in the consideration of channel state information, amount of dissipated power, and receiver rate, in order to improve energy efficiency and receiver fairness. Through simulation, we show the effectiveness and superiority of the proposed algorithm in terms of energy efficiency and receiver fairness.
 Keywords
Energy Efficiency;Receiver Fairness;Wireless Network;Resource Allocation;
 Language
Korean
 Cited by
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2.
정보와 전력의 동시 전송을 최대화하기 위한 자원 관리 기법,이기송;김민호;조동호;

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On the Starvation Period of CDF-Based Scheduling over Markov Time-Varying Channels,;

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 References
1.
Z. Hasan, H. Boostanimehr, and V. K. Bhargava, "Green cellular networks: A survey, some research issues and challenges," IEEE Commun. Surveys & Tutorials, vol. 13, no. 4, pp. 524-540, Fourth Quarter 2011. crossref(new window)

2.
EU FP7 EARTH Project, https://www.ict-eart h.eu

3.
GreenTouch, http://www.greentouch.org

4.
Z. Jin, D.-Y. Kim, and J. Cho, "An analysis of energy efficient cluster ratio for hierarchical wireless sensor networks," J. KICS, vol. 38B, no. 6, pp. 446-453, Jun. 2013. crossref(new window)

5.
Y. Seo and Y.-B. Ko, "Dynamic power management for energy efficient Wi-Fi direct," J. KICS, vol. 38B, no. 8, pp. 663-671, Aug. 2013. crossref(new window)

6.
S. Yang, S. Lee, H. Rho, and W. Son, "Mobile sink based energy efficient path setup method for wireless sensor networks," J. KICS, vol. 39C, no. 11, pp. 1068-1077, Nov. 2014. crossref(new window)

7.
C. Xiong, G. Y. Li, S. Zhang, Y. Chen, and S. Xu, "Energy-efficient resource allocation in OFDMA networks," IEEE Trans. Commun., vol. 60, no. 12, pp. 3767-3778, Dec. 2012. crossref(new window)

8.
D. W. K. Ng, E. S. Lo, and R. Schober, "Energy-efficient resource allocation in OFDMA systems with large numbers of base station antennas," IEEE Trans. Wirel. Commun., vol. 11, no. 9, pp. 3292-3304, Sept. 2012. crossref(new window)

9.
D. W. K. Ng, E. S. Lo and R. Schober, "Energy-efficient resource allocation for secure OFDMA systems," IEEE Trans. Veh. Technol., vol. 61, no. 6, pp. 2572-2585, Jul. 2012. crossref(new window)

10.
V. Chandrasekhar and J. Andrews, "Femtocell networks: a survey," IEEE Commun. Mag., vol. 46, no. 9, pp. 59-67, Sept. 2008. crossref(new window)

11.
J. Espino and J. Markendahl, "Analysis of macro femtocell interference and implications for spectrum allocation," IEEE 20th Int. Symp. Pers., Indoor and Mob. Radio Commun., pp. 2208-2212, Sept. 2009.

12.
H.-S. Chen and W. Gao, MAC and PHY proposal for 802.11af, Tech. Rep., Feb. Available: https://mentor.ieee.org/802.11/dcn/10/11-10-025 8-00-00af-mac-and-phy-proposal-for-802-11af.pdf.

13.
IEEE P802.11 Wireless LANs, TGn channel models, IEEE 802.1103/940r4, Tech. Rep., May 2004.

14.
R. Jain, D.-M. Chiu, and W. Hawe, A quantitative measure of fairness and discrimination for resource allocation in shared computer system, Digital Equipment Corp., Tech. Rep., 1984.