International Journal of Advanced Computer Research (IJACR) ISSN (P): 2249-7277 ISSN (O): 2277-7970 Vol - 7, Issue - 31, July 2017
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Optimal thresholds for discrete power levels using adaptive modulation in presence of imperfect channel state information

Reza Mahin Zaeem, Mina Naeimi, Soroosh Tayebi Arasteh and Houda Chihi

Abstract

The continuous power scheme was the choice of many researchers towards power allocation. However, continuous power application is not very suitable following hardware complexity. For this discrete power is efficient, especially in cellular systems as it could reduce the feedback rate. On the other hand, receiver mobility implies transmission thresholds and power level alternation determination which leads to reduction in system’s spectral efficiency (SE). Consequently, a method based on adaptive modulation (AM) has been introduced and some power discrete levels while all information of channel state wasn't considered. Computer results highlight that the proposed scheme provides better efficiency in comparison to other adaptation schemes but with less feedback rate.

Keyword

Adaptive modulation, Continuous and discrete power, Feedback rate, Imperfect channel state information.

Cite this article

Refference

[1][1]Liu Q, Zhou S, Giannakis GB. Cross-layer combining of adaptive modulation and coding with truncated ARQ over wireless links. IEEE Transactions on Wireless Communications. 2004; 3(5):1746-55.

[2][2]Chung ST, Goldsmith AJ. Degrees of freedom in adaptive modulation: a unified view. IEEE Transactions on Communications. 2001; 49(9):1561-71.

[3][3]Torrance JM, Hanzo L. Optimisation of switching levels for adaptive modulation in slow Rayleigh fading. Electronics Letters. 1996; 32(13):1167-9.

[4][4]Kuang Q, Leung SH, Yu X. Adaptive modulation and joint temporal spatial power allocation for OSTBC MIMO systems with imperfect CSI. IEEE Transactions on Communications. 2012; 60(7):1914-24.

[5][5]Taki M, Zaeem RM. How to select an optimum set of modes for a link adaptive transmission. In international symposium on telecommunications 2016 (pp. 256-60). IEEE.

[6][6]Falahati S, Svensson A, Ekman T, Sternad M. Adaptive modulation systems for predicted wireless channels. IEEE Transactions on Communications. 2004; 52(2):307-16.

[7][7]Basar E, Aygolu U, Panayirci E, Poor HV. Performance of spatial modulation in the presence of channel estimation errors. IEEE Communications Letters. 2012; 16(2):176-9.

[8][8]Olfat A, Shikh-Bahaei M. Optimum power and rate adaptation for MQAM in Rayleigh flat fading with imperfect channel estimation. IEEE Transactions on Vehicular Technology. 2008; 57(4):2622-7.

[9][9]Wang D, Xu X, Chen X, Tao X, Yin Y, Haas H. Discrete power allocation via ant colony optimization for multi-cell OFDM systems. In vehicular technology conference (VTC Fall) 2012 (pp. 1-5). IEEE.

[10][10]Hwang JW, Shikh-Bahaei M. Packet error rate-based adaptive rate optimisation with selective-repeat automatic repeat request for convolutionally-coded M-ary quadrature amplitude modulation systems. IET Communications. 2014; 8(6):878-84.

[11][11]Paris JF, del Carmen Aguayo-Torres M, Entrambasaguas JT. Optimum discrete-power adaptive QAM scheme for Rayleigh fading channels. IEEE Communications Letters. 2001; 5(7):281-3.

[12][12]Taki M, Zaeem RM, Heshmati M. Throughput optimized error-free transmission using optimum combination of AMC and ARQ based on imperfect CSI. In international conference on information and communication technology research 2015 (pp. 182-5). IEEE.

[13][13]Chihi H, Zaeem R, Bouallegue R, InnovCom T. Energy expenditure per bit minimization into MB-OFDM UWB systems. International Journal of Digital Information and Wireless Communications. 2017; 7(1):42-8.

[14][14]Chihi H, Zaeem RM, Bouallegue R. Energy minimization by selecting appropriate modulation and coding scheme for MB-OFDM UWB systems. In international conference on advanced information networking and applications 2016 (pp. 247-52). IEEE.

[15][15]Yin X, Yu X, Liu Y, Tan W, Chen X. Performance analysis of multiuser MIMO system with adaptive modulation and imperfect CSI. IET international conference on information and communications technologies. 2013 (pp. 571 – 6). IETICT.

[16][16]Zhou T, Yu X, Li Y, Jiao Y. Cross-layer design with feedback delay over MIMO Nakagami-m fading channels. In IEEE international conference on communication technology 2010 (pp. 1369-72). IEEE.

[17][17]Dong ZC, Fan PZ, Lei XF, Panayirci E. Power and rate adaptation based on CSI and velocity variation for OFDM systems under doubly selective fading channels. IEEE Access. 2016; 4:6833-45.

[18][18]Boyd S, Vandenberghe L. Convex optimization. Cambridge University Press; 2004.

[19][19]Yacoub MD, Bautista JV, de Rezende Guedes LG. On higher order statistics of the Nakagami-m distribution. IEEE Transactions on Vehicular Technology. 1999; 48(3):790-4.

[20][20]Zeng H, Shi Y, Hou YT, Lou W, Sherali HD, Zhu R, et al. A scheduling algorithm for MIMO DoF allocation in multi-hop networks. IEEE Transactions on Mobile Computing. 2016; 15(2):264-77.