<doi_batch xmlns="http://www.crossref.org/schema/4.4.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" version="4.4.0"><head><doi_batch_id>f2eaa151-4cdb-4168-9741-e6a252eeb233</doi_batch_id><timestamp>20210401044843705</timestamp><depositor><depositor_name>wsea</depositor_name><email_address>mdt@crossref.org</email_address></depositor><registrant>MDT Deposit</registrant></head><body><journal><journal_metadata language="en"><full_title>WSEAS TRANSACTIONS ON SIGNAL PROCESSING</full_title><issn media_type="electronic">2224-3488</issn><issn media_type="print">1790-5052</issn><archive_locations><archive name="Portico"/></archive_locations><doi_data><doi>10.37394/232014</doi><resource>http://wseas.org/wseas/cms.action?id=4062</resource></doi_data></journal_metadata><journal_issue><publication_date media_type="online"><month>3</month><day>31</day><year>2021</year></publication_date><publication_date media_type="print"><month>3</month><day>31</day><year>2021</year></publication_date><journal_volume><volume>17</volume><doi_data><doi>10.37394/232014.2021.17</doi><resource>https://wseas.org/wseas/cms.action?id=23315</resource></doi_data></journal_volume></journal_issue><journal_article language="en"><titles><title>Interference Cancellation for MIMO Systems Employing the Generalized Receiver with High Spectral Efficiency</title></titles><contributors><person_name sequence="first" contributor_role="author"><given_name>Vyacheslav</given_name><surname>Tuzlukov</surname><affiliation>Belarusian State Aviation Academy 77, Uborevicha Str., 220096 Minsk, Belarus</affiliation></person_name></contributors><jats:abstract xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1"><jats:p>In this paper, we investigate the performan-ce in terms of symbol error probability (SEP) of multipleinput multiple-output (MIMO) systems employing the ge-neralized receiver with high spectral efficiency. In particular, we consider the coherent detection of M-PSK signals in a flat Rayleigh fading environment. We focus on spectrally efficient MIMO systems where after serial-to-parallel con-version, several sub-streams of symbols are simultaneously transmitted by using an antenna array, thereby increasing the spectral efficiency. The reception is based on linear mi-nimum mean-square-error (MMSE) combining, eventually followed by successive interference cancellation. Exact and approximate expressions are derived for an arbitrary nu-mber of transmitting and receiving antenna elements. Sim-ulation results confirm the validity of our analytical meth-odology.</jats:p></jats:abstract><publication_date media_type="online"><month>3</month><day>31</day><year>2021</year></publication_date><publication_date media_type="print"><month>3</month><day>31</day><year>2021</year></publication_date><pages><first_page>1</first_page><last_page>15</last_page></pages><ai:program xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" name="AccessIndicators"><ai:free_to_read start_date="2021-03-31"/><ai:license_ref applies_to="am" start_date="2021-03-31">https://www.wseas.org/multimedia/journals/signal/2021/a025114-001(2021).pdf</ai:license_ref></ai:program><archive_locations><archive name="Portico"/></archive_locations><doi_data><doi>10.37394/232014.2021.17.1</doi><resource>https://www.wseas.org/multimedia/journals/signal/2021/a025114-001(2021).pdf</resource></doi_data><citation_list><citation key="ref0"><doi>10.1109/jsac.1987.1146600</doi><unstructured_citation>J. H. Winters, “On the capacity of radio communication systems with diversity in Rayleigh-fading environment.” IEEE Journal of Selected Areas in Communications. 1987, Vol. SAC-5, No. 5. Pp. 871-878. </unstructured_citation></citation><citation key="ref1"><doi>10.1109/26.966069</doi><unstructured_citation>M. Z. Win and J.H. Winters, “Virtual branch analysis of symbol error probability for hybrid selection/maximal-ra-tio combining in Rayleigh fading.” IEEE Transactions on Communications. 2001, Vol. 49, No. 11, pp. 1926-1934. </unstructured_citation></citation><citation key="ref2"><doi>10.1002/bltj.2015</doi><unstructured_citation>G. J. Foschini, “Layered space-time architecture for wire-less communication in a fading environment when using multiple antennas.” Bell Laboratory Technical Journal. 1996, Vol. 1, No. 2, pp. 41-59. </unstructured_citation></citation><citation key="ref3"><doi>10.1023/a:1008889222784</doi><unstructured_citation>G. J. Foschini and M. J. Gans, “On limits of wireless co-mmunications in a fading when using multiple antennas.” Wireless Personal Communications. 1998. Vol. 6, No. 3, pp. 311-335. </unstructured_citation></citation><citation key="ref4"><doi>10.1109/49.806815</doi><unstructured_citation>G. J. Foschini, G. D. Golden, R. A. Valenzuela, and P. W. Wolniansky, “Simplified processing for high spectral effi-ciency wireless communication employing multielement arrays,” IEEE Transactions on Communications. 1999, Vol. 17, No. 11, pp. 1841-1852. </unstructured_citation></citation><citation key="ref5"><unstructured_citation>E. Telatar, “Capacity of multiantenna Gaussian channels”, European Transactions on Telecommunications. 1999, Vol. 10, No. 6, pp. 585-595. </unstructured_citation></citation><citation key="ref6"><doi>10.1109/4234.975485</doi><unstructured_citation>S. Loyka and G. Tsoulos, “Estimating MIMO system per-formance using the correlation matrix approach.” IEEE Communications Letters. 2002, Vol. 6, No. 1, pp. 19-21. </unstructured_citation></citation><citation key="ref7"><doi>10.1109/tit.2003.817437</doi><unstructured_citation>M. Chiani, M. Z. Win, and A., Zanella, “On the capacity of spatially correlated MIMO Rayleigh-fading channels.” IEEE Transactions on Information Theory. 2003, Vol. 49, No. 10, pp. 2363-2371. </unstructured_citation></citation><citation key="ref8"><doi>10.1109/4234.892193</doi><unstructured_citation>S. Catreux, P. F. Driessen, and L. J. Grenstein, “Simulati-on results for an interference-limited multiple-input multi-ple-output cellular system.” IEEE Communications Lett-ers. 2000, Vol. 4, No. 11, pp. 334-336. </unstructured_citation></citation><citation key="ref9"><doi>10.1109/26.983316</doi><unstructured_citation>N. Boubaker, K. B. Letaief, and D Murch, “Performance of BLAST over frequency-selective wireless communica-tion channels.” IEEE Transactions on Communications. 2002, Vol. 50, No. 2, pp. 196-199. </unstructured_citation></citation><citation key="ref10"><doi>10.1109/26.975751</doi><unstructured_citation>A. Lozano and C. Papadias, “Layered space-time receiv-ers for frequency-selective wireless channels.” IEEE Tra-nsactions on Communications. 2002, Vol. 50, No. 1, pp. 65-73. </unstructured_citation></citation><citation key="ref11"><doi>10.1109/26.983313</doi><unstructured_citation>X. Zhu and R. D. Murch, “Performance analysis of maxi-mum likelihood detection in a MIMO antenna system.” IEEE Transactions on Communications. 2002, Vol. 50, No. 2, pp. 187-191. </unstructured_citation></citation><citation key="ref12"><doi>10.1109/glocom.2001.965669</doi><unstructured_citation>M. Chiani, M. Z. Win, A Zanella, R. K. Mallik, and J. H. Winters, “Bounds and approximations for optimum com-bining of signals in the presence of multiple co-channel interferers and thermal noise.” IEEE Transactions on Co-mmunications. 2002, Vol. 50, No. 1, pp. 65-73. </unstructured_citation></citation><citation key="ref13"><doi>10.1006/dspr.1998.0315</doi><unstructured_citation>V. P. Tuzlukov, “A new approach to signal detection the- ory.” Digital Signal Processing. 1998, Vol. 8, No. 3, pp. 166–184. </unstructured_citation></citation><citation key="ref14"><unstructured_citation>V.P. Tuzlukov, Signal Detection Theory, New York:Spri- nger-Verlag, 2001. </unstructured_citation></citation><citation key="ref15"><unstructured_citation>V.P. Tuzlukov, Signal Processing Noise, Boca Raton, Lo- ndon, New York, Washington D.C.: CRC Press, Taylor &amp; Francis Group, 2002. </unstructured_citation></citation><citation key="ref16"><unstructured_citation>M. Maximov, “Joint correlation of fluctuative noise at the outputs of frequency filters. Radio Engineering. 1956,No. 9, pp. 28–38. </unstructured_citation></citation><citation key="ref17"><unstructured_citation>Y. Chernyak, Y. “Joint correlation of noise voltage at out- puts of amplifiers with no overlapping responses. Radio Physics and Electronics. 1960. No. 4, pp. 551–561. </unstructured_citation></citation><citation key="ref18"><doi>10.1016/j.dsp.2011.07.005</doi><unstructured_citation>V. P. Tuzlukov, “DS-CDMA downlink systems with fad- ing channel employing the generalized. Digital Signal Processing. 2011. Vol. 21, No. 6, pp. 725–733. </unstructured_citation></citation><citation key="ref19"><doi>10.1007/s00034-011-9273-1</doi><unstructured_citation>V. P. Tuzlukov, “Signal processing by generalized detec- tor in DS-CDMA wireless communication systems with frequency-selective channels.” Circuits, Systems, and Si- gnal Processing. Published on-line on February 2, 2011, doi:10.1007/s00034-011-9273-1; 2011, Vol.30, No.6, pp. 1197–1230. </unstructured_citation></citation><citation key="ref20"><doi>10.1016/j.dsp.2019.07.016</doi><unstructured_citation>M. Shbat, Tuzlukov, V.P. “Primary signal detection algo- rithms for spectrum sensing at low SNR over fading cha- nnels in cognitive radio.” Digital Signal Processing (2019)  https://doi.org/10.1016/j.dsp. 2019.07.16. Digital Signal Processing. 2019, Vol. 93, No. 5, pp. 187- 207. </unstructured_citation></citation><citation key="ref21"><unstructured_citation>M. Shbat, V. P. Tuzlukov, “Evaluation of detection perfo- rmance under employment of the generalized detector in radar sensor systems.” Radioengineering. 2014, Vol. 23, No. 1, pp. 50-65. </unstructured_citation></citation><citation key="ref22"><doi>10.1049/iet-spr.2013.0235</doi><unstructured_citation>M. Shbat, V. P. Tuzlukov, “Definition of adaptive detec- tion threshold under employment of the generalized dete- ctor in radar sensor systems. IET Signal Processing.2014, Vol. 8, Issue 6, pp. 622–632. </unstructured_citation></citation><citation key="ref23"><doi>10.3390/s150716105</doi><unstructured_citation>M. Shbat, V. P. Tuzlukov, SNR wall effect alleviation by generalized detector employment in cognitive radio net- works. Sensors, 2015, 15(7), pp.16105-16135;doi:10. 3390/s150716105. </unstructured_citation></citation><citation key="ref24"><doi>10.37394/232014.2020.16.6</doi><unstructured_citation>V. P. Tuzlukov, “Quaternary DS-SSMA communications employing generalized detector over Rayleigh fading channels”. WSEAS Transactions on Signal Processing. 2020. Vol.16., Paper # 6, pp. 43-58. doi: 10. 37394/ 232014.2020.16.6 </unstructured_citation></citation><citation key="ref25"><doi>10.37394/23204.2020.19.15</doi><unstructured_citation>V.P. Tuzlukov, “Signal processing by generalized receiv- er using DS-CDMA with STBC technology in multidim- ensional systems over fading channels: capacity and error probability.” WSEAS Transactions on Communications. 2020. Vol. 19. Paper #15. pp. 124-141. doi:10.37394/ 23204.2020.19.15 </unstructured_citation></citation><citation key="ref26"><unstructured_citation>R. N. McDonough and A. D. Whalen, Detection of Sig- nals in Noise. 2nd ed., San Diego, CA., USA: Academic Press, 1995. </unstructured_citation></citation><citation key="ref27"><doi>10.1155/2012/781434</doi><unstructured_citation>M. Jayasheela and A. Rajeswari,”Improved successive interference cancellation for MIMO/UWB-based wireless body area network”, International Journal of Antennas and Propagation. Vol. 2012, Article ID 781434, 9 pages, 2012. https://doi.org/10.1155/2012/781434. </unstructured_citation></citation><citation key="ref28"><doi>10.1155/2014/405487</doi><unstructured_citation>P. Meerasri, P. Uthansakul, M. Uthansakul, “Self-interfe- rence cancellation- based mutual-coupling model for full- duplex single-channel MIMO systems”. International Jo- urnal of Antennas and Propagation. Vol. 2014, Article ID 405487, 10 pages, 2014. https://doi.org/10.1155/2014/ 405487 </unstructured_citation></citation><citation key="ref29"><doi>10.1186/s13638-018-1186-2</doi><unstructured_citation>H. Na and C/ Lee, “An inter user interference cancellati- on scheme for two users in full-duplex MIMO system”. EURASIP Journal on Wireless Communications and Net- working. (2018) 2018: 171, 9 pages. https://doi.org/10. 1186/ s13638-018-1186-2 </unstructured_citation></citation><citation key="ref30"><doi>10.1016/j.aeue.2020.153223</doi><unstructured_citation>Saifullah Adnan, Yuli Fu, Bhutto Jameed Ahmed, Muha- mmad Faizan Tahir, Farhad Banoon, “Modified ordered successive interference cancellation MIMO detection us- ing low complexity constellation search”/AEU-Internati- onal Journal of Electronics and Communications. 2020, Vol. 121, Article ID 153223. https://doi.org/10/1016/j. aeue.2020.153223 </unstructured_citation></citation><citation key="ref31"><doi>10.3390/s20102753</doi><unstructured_citation>R. Chatan and R. Akl, “Massive MIMO systems for 5G and beyond 32 networks-overview, recent trends, chall- enges,and future research direction”. Sensors. 2020 May, 20 (10): 2753.doi:10.3390/s20102753 </unstructured_citation></citation><citation key="ref32"><doi>10.3390/s20216255</doi><unstructured_citation>Taehyoung Kim and Sangjoon Park, “Statistical beamfor- ming for massive MIMO systems with distinct spatial co- rrelations”. Sensors. 2020 November, 20 (21): 6255. doi: 10.3390/s20216255. </unstructured_citation></citation><citation key="ref33"><doi>10.1109/26.602577</doi><unstructured_citation>M. Chiani, “Introducing erasures in decision-feedback eq- ualization to reduce error propagation.” IEEE Transacti- ons on Communications. 1997, Vol. 45, No. 7, pp. 757- 760. </unstructured_citation></citation><citation key="ref34"><doi>10.1109/tit.1974.1055246</doi><unstructured_citation>D. L. Duttweiler, J. E. Mazo, and G. Messerschmitt,” An upper bound on the error probability in decision-feedback equalizers.” IEEE Transactions on Information Theory. 1974 Vol. IT- 20, No. 4, pp. 490-497. </unstructured_citation></citation><citation key="ref35"><unstructured_citation>J. G. Proakis, Digital Communications. 4th ed. New York: McGraw-Hill, 2008. </unstructured_citation></citation><citation key="ref36"><doi>10.1214/aoms/1177703550</doi><unstructured_citation>A. T. James, “Distributions of matrix variates and latent roots derived from normal samples”. Annual of Mathe- matical Statistics. 1964, Vol. 35, pp. 475-501</unstructured_citation></citation></citation_list></journal_article></journal></body></doi_batch>