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http://dx.doi.org/10.9708/jksci.2019.24.07.079

D2D Utility Maximization in the Cellular System: Non Cooperative Game Theoretic Approach  

Oh, Changyoon (Dept. of Information & Communications Engineering, Inha Technical College)
Abstract
We investigate the D2D utility maximization in the cellular system. We focus on the non cooperative game theoretic approach to maximize the individual utility. Cellular system's perspective, interference from the D2D links must be limited to protect the cellular users. To accommodate this interference issue, utility function is first defined to control the individual D2D user's transmit power. More specifically, utility function includes the pricing which limits the individual D2D user's transmit power. Then, non cooperative power game is formulated to maximize the individual utility. Distributed algorithm is proposed to maximize the individual utility, while limiting the interference. Convergence of the proposed distributed algorithm is verified through computer simulation. Also the effect of pricing factor to SIR and interference is provided to show the performance of the proposed distributed algorithm.
Keywords
D2D Communication; Interference; Utility; Power; Game Theory;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 U. N. Kar, "An overview of device-to-device communication in cellular networks," ICT Express, vol. 4, Issue 4, Pages 203-208, December 2018.   DOI
2 R. Ngah, "Device discovery for D2D communication in in-band cellular networks using sphere decoder like (SDL) algorithm," EURASIP Journal on Wireless Communications and Networking, (2018) 2018:74 April 2018.   DOI
3 K. Zhang, "Power Control in D2D Network Based on Game Theory," International Conference on Intelligence Science ICIS 2017 pp 104-112, September. 2017.
4 G. Fodor, E. Dahlman, G. Mildh, S. Parkvall, N. Reider, G. Mikand Z. Turnyi, "Design aspects of network assisted device-to-device communications," IEEE Communications Magazine, vol. 50, no. 3, pp. 170-177, March 2012.   DOI
5 D. Singh, "Radio Resource Scheduling in 3GPP LTE: A Review," International Journal of Engineering Trends and Technology (IJETT), Vol. 4, Issue 6, June 2013.
6 M. Han, "Opportunistic resource scheduling for D2D communication in OFDMA networks," Computer Networks, Elsevier, Vol. 73, pp. 319-334, November 2014.   DOI
7 M. Han, "Opportunistic scheduling and incentive mechanism for OFDMA networks with D2D relaying," Computer Networks, Elsevier, Vol. 91, pp. 772-787, November 2015.   DOI
8 Keysight Technologies, "Performing LTE and LTE-Advanced RF Measurements with the E7515A UXM Wireless Test Set," Application Note, Keysight Technologies, March 2015.
9 N. Mahmud, "Vulnerabilities of LTEand LTE-Advanced Communication," White Paper, Rohde Schwarz, July 2014.
10 B. Schulz, "LTE Transmission Modes and Beamforming," White Paper, Rohde Schwarz, July 2015.
11 Y. Ma, D. I. Kim, Z. Wu, "Optimization of OFDMA-based cellular cognitive radio networks", IEEE Trans. Commun., vol. 58, no. 8, pp. 2265-2276, Aug. 2010.   DOI
12 S.-J. Kim, G. B. Giannakis, "Optimal resource allocation for MIMO ad hoc cognitive radio networks", IEEE Trans. Inf. Theory, vol. 57, no. 5, pp. 3117-3131, May 2011.   DOI
13 X. Kang, R. Zhang, M. Motani, "Price-based resource allocation for spectrum-sharing femtocell networks: A Stackelberg game approach", IEEE J. Sel. Areas Commun., vol. 30, no. 3, pp. 538-549, Apr. 2012.   DOI
14 Y. Liu, R. Wang, "Interference Constraint Pricing for D2D Networks," IEEE Transactions on Wireless Communications, Vol. 16, No. 1, pp. 475-486, January 2017.   DOI
15 E. Chong, "An Introduction to Optimization," 4th Edition, Wiley, Jan. 2013.
16 C. Oh, "D2D Utility Maximization in the Cellular System: Distributed Algorithm," Journal of the Korea Society of Computer and Information vol.24, no. 3, pp. 57-64, March 2019.   DOI
17 M. Xiao, N.B. Shroff, and E.K.P. Chong. "A utility-based power-control scheme in wireless cellular systems," IEEE/ACM Transactions on Networking, 11:210-221, April 2003.   DOI
18 F. Meshkati, et al. "A game-theoretic approach to energy-efficient power control in multicarrier CDMA systems," IEEE Journal on Selected Areas in Communications, vol. 24, no.6, June 2006.