دورية أكاديمية

Group-blind detection with very large antenna arrays in the presence of pilot contamination

التفاصيل البيبلوغرافية
العنوان: Group-blind detection with very large antenna arrays in the presence of pilot contamination
المؤلفون: Geraci, G., Quek, T. Q. S., Win, Moe Z, Ferrante, Guido Carlo
المساهمون: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics, Massachusetts Institute of Technology. Laboratory for Information and Decision Systems, Win, Moe Z, Ferrante, Guido Carlo
المصدر: arXiv
بيانات النشر: Institute of Electrical and Electronics Engineers (IEEE)
سنة النشر: 2016
المجموعة: DSpace@MIT (Massachusetts Institute of Technology)
الوصف: Massive MIMO is, in general, severely affected by pilot contamination. As opposed to traditional detectors, we propose a group-blind detector that takes into account the presence of pilot contamination. While sticking to the traditional structure of the training phase, where orthogonal pilot sequences are reused, we use the excess antennas at each base station to partially remove interference during the uplink data transmission phase. We analytically derive the asymptotic SINR achievable with group-blind detection, and confirm our findings by simulations. We show, in particular, that in an interference-limited scenario with one dominant interfering cell, the SINR can be doubled compared to non-group-blind detection.
نوع الوثيقة: article in journal/newspaper
conference object
وصف الملف: application/pdf
اللغة: English
ردمك: 978-1-4799-9988-0
1-4799-9988-1
العلاقة: http://dx.doi.org/10.1109/ICASSP.2016.7472368Test; 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP); http://hdl.handle.net/1721.1/109618Test; Ferrante, G. C. et al. “Group-Blind Detection with Very Large Antenna Arrays in the Presence of Pilot Contamination.” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 20-25 March, 2016, Shanghai, China, IEEE, 2016.; orcid:0000-0002-8573-0488
الإتاحة: https://doi.org/10.1109/ICASSP.2016.7472368Test
http://hdl.handle.net/1721.1/109618Test
حقوق: Creative Commons Attribution-Noncommercial-Share Alike ; http://creativecommons.org/licenses/by-nc-sa/4.0Test/
رقم الانضمام: edsbas.1CAF17C4
قاعدة البيانات: BASE