Abstract
The main objective of multiuser orthogonal frequency division multiple access (MU-OFDM) is to maximize the total system capacity in wireless communication systems. Thus, the problem in MU-OFDM system is the adaptive allocation of the resources (subcarriers, bits and power) to different users subject to several restrictions to maximize the total system capacity. In this work, a proposed subcarrier allocation algorithm was presented to assign the subcarriers with highest channel gain to the users. After the subcarrier allocation, subcarrier gain-based power allocation (SGPA) was employed for power and bit loading. The simulation results show that the proposed subcarrier-power allocation scheme can achieve high total system capacity and good fairness in allocating the resources to the users with slightly high computational complexity compared to the existing subcarrier allocation algorithms.
Similar content being viewed by others
References
ZHAO Wen-tao, WANG Shao-wei. Subcarrier and power allocation in multiuser OFDM systems with fixed rate constraints [J]. Journal of Information & Computational Science, 2011, 8(11): 2017–2024.
THUMAR V, NADKAR T, GOPAVAJHULA T, DESAI U B, MERCHANT S N. Power allocation, bit loading and sub-carrier bandwidth sizing for OFDM-based cognitive radio [J]. EURASIP Journal on Wireless Communications and Networking, 2011(87): 1–24.
LANDE S B, dr HELONDE J B, dr PANDE R. Comparison of resource allocation techniques in OFDMA for wireless communication [J]. International Journal of Engineering and Innovative Technology (IJEIT), 2012, 2(6): 430–435.
AHMED I, SADEQUE S, PERVIN S. Margin adaptive resource allocation for multi–user OFDM systems by particle swarm optimization and differential evolution [J]. International Journal of Engineering & Technology, 2011, 11(1): 58–62.
MORETTI M, PEREZ-NEIRA A I. Efficient margin adaptive scheduling for MIMO-OFDMA systems [J]. IEEE Transactions on Wireless Communications, 2012, 12(1): 1–10.
DURGAM R, KUMAR P A, BABU K D. Margin Adaptive power allocation using channel state information in OFDMA systems [J]. International Journal of Engineering Science & Advanced Technology, 2013, 3(5): 205–209.
CHEN Y F, CHEN J W. A fast subcarrier, bit, and power allocation algorithm for multiuser OFDM-based systems [J]. IEEE Trans Veh Technol, 2008, 57(2): 873–881.
LANDE S B, HELONDE J B, PANDE R, PATHAK S S. Adaptive subcarrier and bit allocation for downlink OFDMA system with proportional fairness [J]. International Journal of Wireless & Mobile Networks, 2011, 3(5): 125–140.
ARCHANA C, REJITH K N. Rate adaptive resource allocation in OFDMA using BEES algorithm [J]. International Journal of Research in Engineering and Technology, 2014, 3(15): 14–18.
RHEE W, CIOFFI J M. Increase in capacity of multiuser OFDM system using dynamic subchannel allocation [C]// Vehicular Technology Conference Proceedings. VTC2000-Spring, 2000: 1085–1089.
OTANI Y, OHNO S, TEO K D, HINAMOTO T. Subcarrier allocation for multi-user OFDM system [C]// Asia-Pacific Conference on Communications Hyatt Regency Perth: IEEE. 2005: 1073–1077.
WONG I, SHEN Z, EVANS B, ANDREWS J. A low complexity algorithm for proportional resource allocation in OFDMA systems [C]// Proceeding of IEEE Workshop on Signal Processing Systems. Austin, USA: IEEE, 2004: 1–6.
KIM Y, KIM J. An efficient subcarrier allocation scheme for capacity enhancement in multiuser OFDM systems [C]// Vehicular Technology Conference. Marina Bay, Singapore: IEEE, 2008: 1915–1919.
FALAHATI A, ARDESTANI M R. Adaptive subcarrier assignment and power distribution in multiuser OFDM systems with proportional data rate requirement [J]. Iranian Journal of Electrical & Electronic Engineering, 2008, 4(1/2): 10–16.
VISHAL W, RAKESH J, DALAL U. Resource allocation algorithm for WiMAX systems [C]// 2011 IEEE Symposium on Computers & Informatics (ISCI). Mara, Malaysia: IEEE, 2011: 753–758.
ODHAH N A, DESSOUKY M I, AI-HANAFY W, ABD EI-SAMIE F E. Low complexity greedy power allocation algorithm for proportional resource allocation in multiuser OFDM systems [J]. Journal of Telecommunications & Information Technology, 2012, (4): 38.
NWAMADI O, ZHU X, NANDI A. Dynamic subcarrier allocation for single carrier-FDMA systems [C]// Proc EUSIPCO 2008, Lausanne, Switzerland: EURASIP, 2008: 1–6.
KIM Y, KIM J. A 2-D subcarrier allocation scheme for capacity enhancement in a clustered OFDM system [J]. IEICE Trans Commun, 2007, E90-B(7): 1880–1883.
ERMOLOVA N Y, MAKAREVITCH B. Performance of practical subcarrier allocation schemes for OFDMA [C]// Proc IEEE PIMRC. Athens, Greece: IEEE, 2007: 1–4.
LIU T, YANG C, YANG L. A-low complexity subcarrier-power allocation scheme for frequency-division multiple-access systems [J]. IEEE Transactions on Wireless Communications, 2010, 9(5): 1564–1570.
ZHANG J W, CHI J X, XU X R. Worst subcarrier avoiding water-filling subcarrier allocation scheme for OFDM-based CRN [J]. Journal of Electronics (China), 2012, 29(3/4): 204–210.
ZHANG Shi-bing, HU Jin-ming, WANG Hui-jian. Subcarriers and bits allocation in multiuser orthogonal frequency division multiplexing system [J]. Sensors & Transducers, 2014, 168(4): 210–215.
LEE K, KIM K W. Efficient sub-carrier assignment scheme in OFDMA system with partial channel state information [J]. International Journal of Software Engineering and its Applications, 2014, 8(3): 269–278.
RASOULI H, ANPALAGAN A. An asymptotically fair subcarrier allocation algorithm in OFDM systems [C]// Vehicular Technology Conference. 2009: 1–5.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Abd-Elnaby, M., Sedhom, G.G., Messiha, N.W. et al. Fair subcarrier-power allocation scheme for multiuser multicarrier systems. J. Cent. South Univ. 22, 3033–3041 (2015). https://doi.org/10.1007/s11771-015-2840-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11771-015-2840-z