Adaptive Channel Allocation to Increase Capacity Based on Rate Proportional Constraint in the OFDMA System

Mesrinejad, Farhad; Borooshak, Leila; Mansouri, Davood

doi:10.1234/mjee.v4i3.303

Document Type : Review Article

Authors

¹ Islamic Azad University , Majlesi Branch

² University , Putra Malaysia

https://doi.org/10.1234/mjee.v4i3.303

Abstract

Demands for mobile communications are drastically increasing. Nonetheless, these demands cannot be fulfilled because of the limited frequency resources available for mobile communications. More specifically, channel allocation for different uses of frequency resource has emerged a critical issue. This paper presents an adaptive sub-carrier allocation in an orthogonal frequency division multiple access (OFDMA) downlink transmission system. It also attempts to testify the high performance attitude on capacity compared to the latest available rate in other adaptive OFDMA methods, which maximizes the total system’s capacity and the total power in bit error rate (BER) constraints that are subject to proportional rate constraint (PRC). In this study the expectation value statistic scheduling was formed instead of the random numerical ordering during the first time of the sub-carrier allocation. Furthermore, this scheme was developed via rate allocation, based on the PRC scheme to allocate the channel adaptively among users. The rate of the allocation problem was also formulated to enhance the throughput.

Keywords

References

[1] Koffman I. and Roman V.; “Broadband wireless Access Solutions Based on OFDM Access in IEEE 802.16”, Communication Magazine, Vol. 40, pp. 96-103, (2002)

[2] Inhyoung K., Hae Leem L., Beomsup K. and Lee Y.H.; “On the Use of Linear Programming for Dynamic Subchannel and Bit Allocation in Multiuser OFDM”, in Global Telecommunications Conference, 2001. GLOBECOM '01. IEEE, Vol. 6, pp. 3648-3652, 2001

[3] Wong C.Y., Cheng R.S., Lataief, K.B. and Murch R.D., “Multiuser OFDM with Adaptive Subcarrier, Bit, and Power Allocation”, IEEE Journal on selected areas in communications, Vol. 17, pp. 1747-1758, (1999)

[4] Rhee W. and Cioffi J.M., “Increase in Capacity of Multiuser OFDM System Using Dynamic Subchannel Allocation”, in Vehicular Technology Conference Proceedings, 2000. VTC 2000-Spring Tokyo. 2000 IEEE 51st, 2000, Vol.2pp. 1085-1089, (2000)

[5] Hui J. and Zhou Y., “Enhanced Rate Adaptive Resource Allocation Scheme in Downlink OFDMA System”, IEEE 63rd Vehicular Technology Conference, (2006)

[6] Zukang S., Andrews J.G., and Evans B.L.; “Adaptive Resource Allocation in Multiuser OFDM Systems with Proportional Rate Constraints”, Wireless Communications, IEEE Transactions, Vol. 4, pp. 2726-2737, (2005)

[7] Kanghee K., Insoo K., Seokjin S., and Kiseon K.; “Multiple QoS support using M-LWDF in OFDMA Adaptive Resource Allocation”, Local and Metropolitan Area Networks, 2004. LANMAN 2004. The 13th IEEE Workshop, 2004, pp. 217-222.

[8] Mohanram C. and Bhashyam S., “A Sub-Optimal Joint Subcarrier and Power Allocation Algorithm For Multiuser OFDM”, Communications Letters, IEEE Transactions on Wireless Communications, Vol. 9, pp. 685-687, (2005)

[9] Andrews J.G., Ghosh A. and Muhamed R.; Fundamentals of WiMAX: Prentice Hall, (2007)

[10] Seungyoup H., Sungtae K., Eunsung O. and Daesik H.; “Adaptive Resource Allocation with Rate Proportionality Tracking in OFDMA Systems”, Vehicular Technology Conference. VTC2007-Spring. IEEE 65th, 2007, pp. 3031-3035, (2007)

[11] Dadkhah J., Hakkak M. and Azmi P. “Data Throughput Evaluation of Internet Users over UMTS Wireless Network” Majlesi Journal of Electrical Engineering, Vol. 1, No. 3, (2007)

Adaptive Channel Allocation to Increase Capacity Based on Rate Proportional Constraint in the OFDMA System

References

References

Volume 4, Issue 3 - Serial Number 3September 2010Pages 53-58

Volume 4, Issue 3 - Serial Number 3
September 2010
Pages 53-58