Abstract
In this paper, the space-time code selection technique for multiple-inputs single-output systems is optimized using particle swarm optimization. We considered both variable-rate and constant-rate strategies. For a variable-rate technique, we address the problems of minimizing the bit-error rate for a given throughput objective and maximizing the throughput for a given bit-error rate objective. For a constant-rate technique, we address the problem of minimizing the bit-error rate. Results show that it is possible to find BER and throughput values close to those required when using a variable-rate technique with optimized threshold levels. For the constant-rate technique, we obtain considerable energy to noise gains when using optimized threshold levels.
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Gourdin E, Medhi D, Pattavina A (2018) Ann Telecommun 73(1):1. https://doi.org/10.1007/s12243-017-0624-1
Zhang P, Yang X, Chen J, Huang Y (2019) China Communications 16:69
Cheng X, Zhang R, Yang L (2018) IEEE Internet Things J 6:188
Sternad M, Svensson T, Ottosson T, Ahlen A, Svensson A, Brunstrom A (2007) Proc IEEE 95(12):2432. https://doi.org/10.1109/JPROC.2007.907119
Drajic D, Ivanis P (2013) In: 2013 11th international conference on telecommunication in modern satellite, cable and broadcasting services (TELSIKS), vol 01, pp 209–216. https://doi.org/10.1109/TELSKS.2013.6704920
Bedeer E, Dobre O, Ahmed M, Baddour K (2014) IEEE Trans Wirel Commun 13(4):2339. https://doi.org/10.1109/TWC.2014.022114.131948
Dong Z, Fan P, Panayirci E, Lei X (2014) IEEE Trans Veh Technol PP(99):1. https://doi.org/10.1109/TVT.2014.2377153
Karray MK, Jovanovic M, Błaszczyszyn B (2015) Ann Telecommun 70(11):479. https://doi.org/10.1007/s12243-015-0469-4
Alamouti S (1998) IEEE J Sel Areas Commun 16(8):1451
Tarokh V, Jafarkhani H, Calderbank A (1999) IEEE J Sel Areas Commun 17:451
Molisch AF, Win MZ, Winters JH (2003) IEEE Trans Signal Process 51(11):2729
Thoen S, der Perre LV, Gyselinckx B, Engels M (2001) IEEE Trans Commun 49:5
Chen Z, Yuan J, Vucetic B (2005) IEEE Trans Veh Technol 54(4):1312
Mavares D, Torres RP (2008) IEEE Trans Veh Technol 57(1):620
Mavares D, Torres RP (2009) Elsevier Computer Communications 32(3):477
Mavares D, Velasquez R, Candotti K, Huerta M (2015) In: Asia-Pacific conference on computer aided system engineering, pp 63–67
Shin H, Lee JH (2002) In: GLOBECOM 2002 - IEEE global telecommunications conference, vol 21, pp 1206–1210
Mavares D, Torres RP, Uzcátegui RA (2011) In: The sixth international conference on digital telecommunications (ICDT 2011)
Mavares D (2011) Estimación de Canal y Transmisión Adaptativa en Sistemas MISO (Editorial Académica Española, Heinrich-Böcking-Str., Saarbrücken)
Kennedy J, Eberhart RC (1995) In: Proceedings of the IEEE international conference on neural networks, pp 1942–1948
Clerc M, Kennedy J (2002) Trans Evol Comp 6(1), 58, https://doi.org/10.1109/4235.985692
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Mavares T., D., Oropeza, M. & Velásquez, R. Space-time code selection via particle swarm optimization. Ann. Telecommun. 75, 59–66 (2020). https://doi.org/10.1007/s12243-019-00734-6
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DOI: https://doi.org/10.1007/s12243-019-00734-6