دورية أكاديمية
Group-blind detection with very large antenna arrays in the presence of pilot contamination
العنوان: | Group-blind detection with very large antenna arrays in the presence of pilot contamination |
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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 |
ردمك: | 9781479999880 1479999881 |
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