Abstract
This paper proposes and analyzes efficient rate and power allocation algorithms for MIMO-OFDMA broadcast channels based on linearly precoded orthogonal space-time block codes. The weighted sum-rate maximization problem is considered for both continuous and discrete rate allocation schemes. Since this problem is non-convex and combinatorial in nature, the Lagrange dual decomposition method is used to find an accurate near-optimal solution. The effects of using different MIMO configurations and realistic channel models with space and frequency correlation over the weighted sum-rate of the system is considered.
Chapter PDF
Similar content being viewed by others
References
Gesbert, D., Shafi, M., Shiu, D., Smith, P.J., Naguib, A.: From theory to practice: an overview of MIMO space-time coded wireless systems. IEEE JSACĀ 21(3), 281ā302 (2003)
Goldsmith, A., Jafar, S.A., Jindal, N., Vishwanath, S.: Capacity limits of MIMO channels. IEEE JSACĀ 21(5), 684ā702 (2003)
Paulraj, A.J., Gore, D.A., Nabar, R.U., Bolcskei, H.: An overview of MIMO communications-a key to gigabit wireless. Proc. IEEEĀ 92(2), 198ā218 (2004)
Wang, Z., Giannakis, G.B.: Wireless multicarrier communications. IEEE Signal Proc. Mag.Ā 17(3), 29ā48 (2000)
Stuber, G.L., Barry, J.R., Mclaughlin, S.W., Li, Y.G., Ingram, M.A., Pratt, T.G.: Broadband MIMO-OFDM wireless communications. Proc. IEEEĀ 92(2), 271ā294 (2004)
Bolcskei, H.: MIMO-OFDM wireless systems: basics, perspectives, and challenges. IEEE Wireless CommunicationsĀ 13(4), 31ā37 (2006)
Tarokh, V., Jafarkhani, H., Calderbank, A.R.: Space-time block coding for wireless communications: performance results. IEEE JSACĀ 17(3), 451ā460 (1999)
Skoglund, G.J.M., Ottersten, B.: Combining beamforming and orthogonal space-time block coding. IEEE Tran. Inf. Theory.Ā 48(3), 611ā627 (2002)
Love, D.J., Heath, J.R.W.: Limited feedback unitary precoding for orthogonal space-time block codes. IEEE Tran. Sig. Proc.Ā 53(1), 64ā73 (2005)
Sanayei, S., Love, D.J., Nosratinia, A.: On the design of linear precoders for orthogonal space-time block codes with limited feedback. In: Proc. IEEE WCNC, pp. 489ā493 (2005)
Seong, K., Mohseni, M., Cioffi, J.M.: Optimal resource allocation for OFDMA downlink systems. In: Proc. International Symposium on Information Theory (ISIT), July 2006, pp. 1394ā1398 (2006)
Hoo, L.M.C., Halder, B., Tellado, J., Cioffi, J.M.: Multiuser transmit optimization for multicarrier broadcast channels: asymptotic FDMA capacity region and algorithms. IEEE Tran. Commun.Ā 52(6), 922ā930 (2004)
Yu, W., Lui, R.: Dual methods for nonconvex spectrum optimization of multicarrier systems. IEEE Tran. Commun.Ā 54(7), 1310 (2006)
Proakis, J.G.: Digital Communications, 4th edn. McGraw-Hill, New York (2001)
Kermoal, J., Schumacher, L., Pedersen, K., Mogensen, P., Frederiksen, F.: A stochastic MIMO radio channel model with experimental validation. IEEE JSACĀ 20(6), 1211ā1226 (2002)
Femenias, G.: BER performance of linear STBC from orthogonal designs over MIMO correlated Nakagami-m fading channels. IEEE Tran. Veh. Technol.Ā 53(2), 307ā317 (2004)
Wong, I., Evans, B.: Resource allocation in multiuser multicarrier wireless systems. Springer, Heidelberg (2008)
Shen, Z., Andrews, J.G., Evans, B.L.: Optimal power allocation in multiuser OFDM systems. In: Proc. IEEE Global Telecommunications Conference (GLOBECOM), December 2003, pp. 337ā341 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
Ā© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
DaƱobeitia, B., Femenias, G., Riera-Palou, F. (2009). Resource Allocation in MIMO-OFDMA Wireless Systems Based on Linearly Precoded Orthogonal Space-Time Block Codes. In: Oliver, M., Sallent, S. (eds) The Internet of the Future. EUNICE 2009. Lecture Notes in Computer Science, vol 5733. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03700-9_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-03700-9_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03699-6
Online ISBN: 978-3-642-03700-9
eBook Packages: Computer ScienceComputer Science (R0)