PHY Abstraction Methods for OFDM and NOFDM Systems

• Autorzy: Kliks A. , Zalonis A. , Dagres I. , Polydoros A. , Bogucka H.
• Języki publikacji: EN

Abstrakty

EN

In the paper various PHY abstraction methods for both orthogonal and non-orthogonal systems are presented, which allow to predict the coded block error rate (BLER) across the subcarriers transmitting this FEC-coded block for any given channel realization. First the efficiency of the selected methods is investigated and proved by the means of computer simulations carried out in orthogonal muticarrier scenario. Presented results are followed by the generalization and theoretical extension of these methods for non-orthogonal systems.

Słowa kluczowe

EN

orthogonal and non-orthogonal multicarrier systems; PHY abstraction methods

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2009
• Tom: nr 3
• Strony: 116--122
• Opis fizyczny: Bibliogr. 15 poz., rys.

Twórcy

autor

Kliks A.

autor

Zalonis A.

autor

Dagres I.

autor

Polydoros A.

autor

Bogucka H.

• Chair of Wireless Communications, Poznań University of Technology, Polanka st 3, 60-965 Poznań, Poland,

Bibliografia

• [1] IEEE 802.16m-08/004r1, “Evaluation methodology document”, http://ieee802.org/16/tgm/
• [2] Sony, Intel, “TGn Sync TGn proposal MAC simulation methodology”, IEEE 802.11.
• [3] ST Micro-Electronics “Time correlated packet errors in MAC simulations”, IEEE Contribution, 802.11-04-0064-00-000n, Jan. 2004.
• [4] Atheros, Mitsubishi, ST Micro-Electronics and Marvell Semiconductors, “Unified black box PHY abstraction methodology”, IEEE Contribution, 802.11-04/0218r1, March 2004.
• [5] 3GPP TR 25.892, “Feasibility study for OFDM for UTRAN enhancement (release 6)”, ver. 1.1.0, March 2004.
• [6] WG5 Evaluation Ad-Hoc Group, “1x EV-DV evaluation methodology – addendum (V6)”, July 2001.
• [7] Ericsson, “System level evaluation of OFDM – further considerations”, TSGRAN WG1, no. 35, R1-03-1303, Nov. 2003.
• [8] Nortel, “Effective SIR computation for OFDM system-level simulations”, TSG-RAN WG1, no. 35, R03-1370, Nov. 2003.
• [9] K. Brueninghaus et al., “Link performance models for system level simulations of broadband radio access systems”, in IEEE 16th Int. Symp. Pers. Indoor Mob. Radio Commun. PIMRC, Berlin, Germany, 2005.
• [10] L. Wan et al., “A fading insensitive performance metric for a unified link quality model”, in Proc. IEEE WCNC’06 Conf., Las Vegas, USA, 2006.
• [11] I. Dagres and A. Polydoros, “Dynamic transceivers: adaptivity and reconfigurability at the signal-design level”, in SDR Forum Tech. Conf., Orlando, USA, 2003.
• [12] W. Kozek and A. F. Molisch, “Nonorthogonal pulseshapes for multicarrier communications in doubly dispersive channels”, IEEE J. Selec. Areas Commun., vol. 16, no. 8, pp. 1579–1589, 1998.
• [13] H. Feichtinger and T. Strohmer, Gabor Analysis and Algorithms. Theory and Applications. Berlin: Birkhauser, 1998.
• [14] S. Qian and D. Chen, “Understanding the nature of signals whose power spectrum change with time. Joint analysis”, IEEE Sig. Proc. Mag., vol. 16, iss. 2, pp. 52–67, March 1999.
• [15] P. P. Vaidyanathan, Multirate Systems and Filter Banks. Englewood: Prentice Hall, 1993.