Mean Mutual Information Based Adaptive Modulation and Coding Mechanism for Cooperative Relaying in Wireless Systems

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Abstract:

We propose a link adaptation algorithm for cooperative transmissions in an OFDMA-based wireless system. The link adaptation method selects the transmission type (cooperative or non-cooperative), the modulation orders and amount and type of redundancy required to ensure a target block error rate at each phase of the cooperative transmission. The above parameter-values are chosen so as to minimize the number of occupied time-frequency radio resources required to transmit the K-bit log data block. The algorithm employs a BLER performance prediction method based on mutual information. The proposed link adaptation algorithm has linear complexity, but still provides a very good performance, as shown by simulation results.

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[1] Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2010 - 2015, ', Cisco Systems, Inc., White Paper, February (2011).

Google Scholar

[2] Requirements related to technical performance for IMT-Advanced radio interface(s), ', International Telecommunication Union, Report M. 2134, December (2008).

Google Scholar

[3] H. P. Frank and F. Katz, Cooperation in Wireless Networks: Principles and Applications: Real Egoistic Behavior Is to Cooperate! Secaucus, NJ, USA: Springer-Verlag New York, Inc., (2006).

DOI: 10.1007/1-4020-4711-8

Google Scholar

[4] E. Zimmermann, P. Herhold, G. Fettweis, On the performance of cooperative relaying protocols in wireless networks, ', European Transactions on Telecommunications, vol. 16, pp.5-16, (2005).

DOI: 10.1002/ett.1028

Google Scholar

[5] Z. Zhang and T. Duman, Capacity-Approaching Turbo Coding For Half-Duplex Relaying, ', Communications, IEEE Transactions on, vol. 55, no. 10, pp.1895-1906, oct. (2007).

DOI: 10.1109/tcomm.2007.906404

Google Scholar

[6] A. Chakrabarti, A. D. Baynast, A. Sabharwal, and B. Aazhang, ``Low density parity check codes for the relay channel, Selected Areas in Communications, IEEE Journal on, vol. 25, no. 2, pp.280-291, february (2007).

DOI: 10.1109/jsac.2007.070205

Google Scholar

[7] K. Sayana, J. Zhuang, and K. Stewart, Short term link performance modeling for ML receivers with mutual information per bit metrics, ', in Proc. GLOBECOM 2008, (2008).

DOI: 10.1109/glocom.2008.ecp.827

Google Scholar

[8] M. -A. Badiu, M. Varga, and V. Bota, Link performance prediction methods for cooperative relaying in wireless networks, ', in Wireless Communication Systems (ISWCS), 2010 7th International Symposium on, sept. 2010, pp.556-560.

DOI: 10.1109/iswcs.2010.5624354

Google Scholar

[9] Evolved Universal Terrestrial Radio Access (E-UTRA); Multiplexing and channel coding, 3GPP Standardization Group Std. 3GPP TS 36. 212 V9. 2. 0, June (2010).

Google Scholar

[10] D. Castelain, C. Ciochina, A. Silva, A. Gameiro, D. Neves, S. Teodoro, C. Ribeiro, N. Chiurtu, V. Bota, M. Varga, C. M. Bota, Z. A. Polgar, M. P. Stef, M. A. Badiu, and V. Savin, ``Final advanced PHY layer algorithm selection and results, CODIV FP7- ICT-2007-215477, Deliverable, September 2010. [Online]. Available: http: /www. ictcodiv. eu/private/docs/deliverables/D3. 3b. pdf.

Google Scholar

[11] K. Sayana, J. Zhuang, and K. Stewart, ``Short Term Link Performance Modeling for ML Receivers with Mutual Information per Bit Metrics, in Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE, 30 2008-dec. 4 2008, pp.1-6.

DOI: 10.1109/glocom.2008.ecp.827

Google Scholar

[12] M.A. Badiu, M. Varga, V. Bota and A. Vlaicu, ``Simplification of a Link Performance Prediction Method Based on Mutual Information, in Acta Technica Napocensis (Electronics and Telecommunications), September (2012).

Google Scholar

[13] R. Srinivasan, L. Jallou, R. Novak, and J. Par, ``IEEE 802. 16m Evaluation Methodology Document (EMD), IEEE 802. 16 Broadband Wireless Access Working Group, Standard IEEE 802. 16m-08/004r5, January (2009).

Google Scholar