This paper deals with radio resource allocation in fourth generation (4G) wireless mobile networks based on Orthogonal Frequency Division Multiple Access (OFDMA) as an access method. In IEEE 802.16？m standard, a contiguous method for subchannel construction is adopted in order to reduce OFDMA system complexity. In this context, we propose a new subchannel gain computation method depending on frequency responses dispersion. This method has a crucial role in the resource management and optimization. In a single service access, we propose a dynamic resource allocation algorithm at the physical layer aiming to maximize the cell data rate while ensuring fairness among users. In heterogeneous data traffics, we study scheduling in order to provide delay guaranties to real-time services, maximize throughput of non-real-time services while ensuring fairness to users. We compare performances to recent existing algorithms in OFDMA systems showing that proposed schemes provide lower complexity, higher total system capacity, and fairness among users. 1. Introduction In fourth Generation (4G) wireless cellular networks, increasing demands for higher speed data rates transmission, mobility, and multiservice access, have imposed staggering challenges. Therefore, IEEE 802.16 standards propose the use of Orthogonal Frequency Division Multiple Access (OFDMA) among multiple alternatives. OFDMA has become one of the most interesting developments in the area of new broadband wireless networks due to its powerful capability to mitigate Inter-Symbol Interference (ISI), provide high spectral efficiency and immunity of multipath fading. Looking at wireless networks literature, several researches focus on adaptive resource allocation algorithms for single service required by users, in order to achieve some objectives aimed either to minimize total power under data rate constraint, called Margin Adaptive (MA) problem [1–3], or to maximize the total system throughput under power constraints referred as Rate Adaptive (RA) problem [4–6]. However, in practice how to efficiently allocate resources in multiservice wireless networks is not well-explored, nowadays. To resolve this challenge, recent multiservice transmission researches in wireless networks are paid more attention [7–9]. To handle a multiservice access network of heterogeneous traffic, the resource management scheme that can efficiently allocate subchannels to different users and services is essential. The major characteristics of resource allocation algorithms consist of their running time, computational complexity, and
References
[1]
C. Y. Wong, R. S. Cheng, K. B. Letaief, and R. D. Murch, “Multiuser OFDM with adaptive subcarrier, bit, and power allocation,” IEEE Journal on Selected Areas in Communications, vol. 17, no. 10, pp. 1747–1758, 1999.
[2]
W. Rhee and J. M. Cioffi, “Increase in capacity of multiuser ofdm system using dynamic subchannel allocation,” in Proceedings of the 51st Vehicular Technology Conference (VTC '00), vol. 2, pp. 1085–1089, 2000.
[3]
W. Yu and R. Lui, “Dual methods for non-convex spectrum optimization of multi-carrier systems,” IEEE Transactions on Communications, vol. 54, no. 7, pp. 1310–1322, 2006.
[4]
J. Jang and K. B. Lee, “Transmit power adaptation for multiuser OFDM systems,” IEEE Journal on Selected Areas in Communications, vol. 21, no. 2, pp. 171–178, 2003.
[5]
M. Fathi and H. Taheri, “Utility-based resource allocation in orthogonal frequency division multiple access networks,” IET Communications, vol. 4, no. 12, pp. 1463–1470, 2010.
[6]
H. Zhu and J. Wang, “Adaptive chunk-based allocation in multiuser ofdm systems,” in Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC '10), pp. 1525–3511, 2010.
[7]
W. Lihua, M. Wenchao, and G. Zihua, “A cross-layer packet scheduling and subchannel allocation scheme in 802.16e ofdma system,” in Proceedings of the Wireless Communications and Networking Conference (WCNC '07), pp. 1865–1870, 2007.
[8]
K. Juhee, K. Eunkyung, and S. K. Kyung, “A new efficient B S scheduler and scheduling algorithm in WiBro systems,” in Proceedings of the 8th International Conference Advanced Communication Technology (ICACT '06), pp. 1467–1470, 2006.
[9]
Y. F. Yu, H. Ji, and G. X. Yue, “A novel wireless IP packets scheduling algorithm with QoS guaranteeing based on OFDM system,” Journal of Beijing University of Posts and Telecommunications, vol. 29, no. 3, pp. 61–65, 2006.
[10]
Z. Huiling and J. Wang, “Adaptive chunk-based allocation in multiuser OFDM systems,” in Proceedings of the Wireless Communications and Networking Conference (WCNC '10), pp. 1–6, IEEE, 2010.
[11]
R. Nasri and Z. Altman, “Handover adaptation for dynamic load balancing in 3gpp long term evolution systems,” in Proceedings of the MoMM, pp. 145–154, 2007.
[12]
A. Goldsmith, Wireless Communications, vol. 572, Cambridge University Press, 2005.
[13]
R. K. Jain, D. W. Chiu, and W. R. Hawe, “A quantitative measure of fairness and discrimination for resource allocation in shared computer system,” Tech. Rep. 301, DEC, 1984.
[14]
D. Marabissi, D. Tarchi, R. Fantacci, and A. Biagioni, “Adaptive subcarrier allocation algorithms in wireless OFDMA systems,” in Proceedings of the IEEE International Conference on Communications (ICC '08), pp. 3475–3479, Beijing, China, May 2008.
[15]
A. Gotsis, D. Komnakos, and P. Constantinou, “Dynamic subchannel and slot allocation for OFDMA networks supporting mixed traffic: upper bound and a heuristic algorithm,” IEEE Communications Letters, vol. 13, no. 8, pp. 576–578, 2009.
[16]
S. H. Paik, S. Kim, and H. B. Park, “A resource allocation using game theory adopting AMC scheme in multi-cell OFDMA system,” in Proceedings of the 2nd International Conference on Future Computer and Communication (ICFCC '10), vol. 2, pp. 344–347, 2010.
[17]
T. C. H. Alen, A. S. Madhukumar, and F. Chin, “Capacity enhancement of a multi-user OFDM system using dynamic frequency allocation,” IEEE Transactions on Broadcasting, vol. 49, no. 4, pp. 344–353, 2003.
[18]
Q. Wang, D. Xu, J. Xu, and Z. Bu, “A grouped and proportional-fair subcarrier allocation scheme for multiuser OFDM systems,” in Proceedings of the 25th IEEE International Performance, Computing, and Communications Conference (IPCCC '06), pp. 97–101, April 2006.
[19]
U. Kim, H. Nam, and B. F. Womack, “An adaptive grouped-subcarrier allocation algorithm using comparative superiority,” in Proceedings of the Military Communications Conference (MILCOM '05), vol. 2, pp. 963–969, October 2005.
[20]
R. Agarwal, R. Vannithamby, and J. M. Cioffi, “Optimal allocation of feedback bits for downlink OFDMA systems,” in Proceedings of the IEEE International Symposium on Information Theory, pp. 1686–1690, 2008.
[21]
J. Chen, R. A. Berry, and M. L. Honig, “Performance of limited feedback schemes for downlink OFDMA with finite coherence time,” in Proceedings of the IEEE International Symposium on Information Theory, pp. 2751–2755, 2007.
[22]
L. Xiaowen and Z. Jinkang, “An adaptive subcarrier allocation algorithm for multiuser OFDM system,” in Proceedings of the IEEE 58th Vehicular Technology Conference (VTC '03), pp. 1502–1506, October 2003.
[23]
Z. Shen, J. G. Andrews, and B. L. Evans, “Adaptive resource allocation in multiuser OFDM systems with proportional rate constraints,” IEEE Transactions on Wireless Communications, vol. 4, no. 6, pp. 2726–2736, 2005.
[24]
S. Hwang, J. Park, Y. S. Jang, and H. S. Cho, “A heuristic method for channel allocation and scheduling in an OFDMA system,” ETRI Journal, vol. 30, no. 5, pp. 741–743, 2008.
[25]
L. Qingwen, W. Xin, and G. B. Giannakis, “A cross-layer scheduling algorithm with QoS support in wireless networks,” IEEE Transactions on Vehicular Technology, vol. 55, no. 3, pp. 839–847, 2006.
[26]
Z. Xinning, H. Jiachuan, Z. Song, Z. Zhimin, and D. Wei, “An adaptive resource allocation scheme in OFDMA based multiservice WiMAX systems,” in Proceedings of the 10th International Conference on Advanced Communication Technology, pp. 593–597, February 2008.
[27]
D. Marabissi, D. Tarchi, R. Fantacci, and A. Biagioni, “Adaptive subcarrier allocation algorithms in wireless OFDMA systems,” in Proceedings of the IEEE International Conference on Communications, pp. 3475–3479, 2008.
[28]
S. Ryu, B. Ryu, H. Seo, and M. Shin, “Urgency and efficiency based packet scheduling algorithm for OFDMA wireless system,” in Proceedings of the IEEE International Conference on Communications (ICC '05), pp. 2779–2785, May 2005.
[29]
T.-D. Nguyen and Y. Han, “A dynamic channel assignment algorithm for OFDMA systems,” in Proceedings of the IEEE Vehicular Technology Conference (VTC '06), pp. 1273–1277, 2006.
[30]
cdma2000 evaluation methodology, 3gpp2 contribution c.r1002-0. 1, December 2004.
