Low Complexity Greedy Power Allocation Algorithm for Proportional Resource Allocation in Multi-User OFDM Systems

• Autorzy: Odhah N. A. , Dessouky M. I. , Al-Hanafy W. E. , Abd El-Samie F. E.
• Języki publikacji: EN

Abstrakty

EN

Multi-User Orthogonal Frequency Division Multiplexing (MU-OFDM) is an efficient technique for achieving high downlink capacity in high-speed communication systems. A key issue in MU-OFDM is the allocation of the OFDM subcarriers and power to users sharing the channel. In this paper a proportional rate-adaptive resource allocation algorithm for MU-OFDM is presented. Subcarrier and power allocation are carried out sequentially to reduce the complexity. The low complexity proportional subcarriers allocation is followed by Greedy Power Allocation (GPA) to solve the rate-adaptive resource allocation problem with proportional rate constraints for MU-OFDM systems. It improves the work of Wong et al. in this area by introducing an optimal GPA that achieves approximate rate proportionality, while maximizing the total sum-rate capacity of MU-OFDM. It is shown through simulation that the proposed GPA algorithm performs better than the algorithm of Wong et al., by achieving higher total capacities with the same computational complexity, especially, at larger number of users and roughly satisfying user rate proportionality.

Słowa kluczowe

EN

GPA; MU-OFDM; proportional resource allocation; sum-rate capacity

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2012
• Tom: nr 4
• Strony: 38--45
• Opis fizyczny: Bibliogr. 21 poz., rys.

Twórcy

autor

Odhah N. A.

autor

Dessouky M. I.

autor

Al-Hanafy W. E.

autor

Abd El-Samie F. E.

• Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt,

Bibliografia

• [1] “IEEE standard for local and metropolitan area networks part 16: Air interface for fixed and mobile broadband wireless access systems”, IEEE, Tech. rep. 802.16, Oct. 2004.
• [2] “IEEE standard for local and metropolitan area networks part 16 and amendment 2”, IEEE, Tech. rep. 802.16e , Feb. 2006.
• [3] H. Schulze and C. Lueders, Theory and Applications of OFDM and CDMA Wideband Wireless Communications. John Wiley, 2005.
• [4] P. Chow, J. Cioffi, and J. Bingham, “A practical discrete multitone transceiver loading algorithms for data transmission over spectrally shaped channels”, IEEE Trans.Commun., vol. 43, pp. 773–775, 1995.
• [5] R. Fischer and J. Huber, “A new loading algorithm for discrete multitone transmission”, in Proc. IEEE Global Telecom. Conf. Globecom 1996, London, England, 1996, vol. 1, pp. 724–728.
• [6] M. Sternad et al., “Towards systems beyond 3G on adaptive OFDMA transmission”, Proc. IEEE Inst. Electr. Electron. Eng., vol. 95, iss. 12, pp. 2432–2455, 2007.
• [7] S. Sadr, A. Anpalagan ,and K. Raahemifar, “Radio resource allocation algorithms for the downlink of multiuser OFDM communication systems”, IEEE Commun. Surveys & Tutorials, vol. 11, no. 3, pp. 92–106, 2009.
• [8] C. Wong, R. Cheng, K. Lataief, and R. Murch, “Multiuser OFDM with adaptive subcarrier, bit, and power allocation”, IEEE J. Select. Areas Commun., vol. 17, pp. 1747–1758, 1999.
• [9] D. Kivanc, G. Li, and H. Liu, “Computationally efficient bandwidth allocation and power control for OFDMA”, IEEE Trans. Wireless Commun., vol. 2, pp. 1150–1158, 2003.
• [10] L. Xiaowen and Z. Jinkang, “An adaptive subcarrier allocation algorithm for multiuser OFDM system”, in Proc. IEEE VTC 2003, Orlando, Florida, USA, 2003, vol. 3, pp.1502–1506.
• [11] G. Zhang, “Subcarrier and bit allocation for real-time services in multiuser OFDM systems”, in Proc. Int. Conf. Commun. IEEE ICC 2004, Paris, France, vol. 5, pp. 2985–2989.
• [12] H. Yin and H. Liu, “An efficient multiuser loading algorithm for OFDM based broadband wireless systems”, in Proc. IEEE Global Telecom. Conf. Globecom 2000, San Francisco, USA, 2000, vol. 1, pp. 103–107.
• [13] W. Rhee and J. M. Cioffi, “Increase in capacity of multiuser OFDM system using dynamic subchannel allocation”, in Proc. 51st IEEE Veh. Technol. Conf. IEEE VTC 2000, Tokyo, Japan, 2000, vol. 2, pp. 1085–1089.
• [14] G. Song and Y. G. Li, “Adaptive subcarrier and power allocation in OFDM based on maximizing utility”, in Proc. 57th IEEE Semian. Veh. Technol. Conf. IEEE VTC 2003-Spring, Seoul, Korea, 2003, vol. 2, pp. 905–909.
• [15] G. Song and Y. Li, “Cross-layer optimization for OFDM wireless networks-part ii: algorithm development”, IEEE Trans. Wireless Commun., vol. 4, pp. 625–634, 2005.
• [16] J. Jang and K. Lee, “Transmit power adaptation for multiuser OFDM systems”, IEEE J. Select. Areas Commun., vol. 21, pp. 171–178, 2003.
• [17] C. Mohanram and S. Bhashyam, “A sub-optimal joint subcarrier and power allocation algorithm for multiuser OFDM”, IEEE Commun. Lett., vol. 9, pp. 685–687, 2005.
• [18] Z. Shen, J. G. Andrews, and B. L. Evans, “Optimal power allocation in multiuser OFDM systems”, in Proc. IEEE Global Tele- com. Conf. Globecom 2003, San Francisco, USA, 2003, vol. 1, pp. 337–341.
• [19] I. Wong, Z. Shen, B. Evans, and J. Andrews, “A low complexity algorithm for proportional resource allocation in OFDMA systems”, in Proc. IEEE Worksh. Sig. Proces. Syst. SIPS 2004, Austin, Texas, USA, 2004, pp. 1–6.
• [20] A. Goldsmith, Wireless Communications. Cambridge University Press, 2005.
• [21] W. Al-Hanafy and S. Weiss, “Greedy power allocation for multicarrier systems with reduced complexity”, in Proc. 27th Nat. Radio Sci. Conf. NRSC 2010, Menouf, Egypt, 2010, vol. 27, pp. 16–18.