Academic Journal
Massive MIMO joint communications and sensing with MRT beamforming
العنوان: | Massive MIMO joint communications and sensing with MRT beamforming |
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المؤلفون: | Nguyen, Nhan T., Nguyen, V. Dinh, Nguyen, Hieu V., Ngo, Hien Q., Swindlehurst, A. L., Juntti, Markku |
المصدر: | Nguyen , N T , Nguyen , V D , Nguyen , H V , Ngo , H Q , Swindlehurst , A L & Juntti , M 2024 , Massive MIMO joint communications and sensing with MRT beamforming . in 2024 IEEE Radar Conference (RadarConf24): Proceedings . Proceedings of the IEEE Radar Conference , Institute of Electrical and Electronics Engineers Inc. , 2024 IEEE Radar Conference, RadarConf 2024 , Denver , United States , 06/05/2024 . https://doi.org/10.1109/RadarConf2458775.2024.10549340 |
بيانات النشر: | Institute of Electrical and Electronics Engineers Inc. |
سنة النشر: | 2024 |
المجموعة: | Queen's University Belfast: Research Portal |
مصطلحات موضوعية: | Joint communications and sensing (JCAS), massive MIMO, maximum-ratio transmission, /dk/atira/pure/subjectarea/asjc/1700/1705, name=Computer Networks and Communications, /dk/atira/pure/subjectarea/asjc/1700/1711, name=Signal Processing, /dk/atira/pure/subjectarea/asjc/3100/3105, name=Instrumentation |
الوصف: | Joint communications and sensing (JCAS) is en-visioned as a key feature in future wireless communications networks. In massive MIMO-JCAS systems, the very large number of antennas causes excessively high computational complexity in beamforming designs. In this work, we investigate a low-complexity massive multiple-input-multiple-output (MIMO)-JCAS system employing the maximum-ratio transmission (MRT) scheme for both communications and sensing. We first derive closed-form expressions for the achievable communications rate and Cramer-Rao bound (CRB) as functions of the large-scale fading channel coefficients. Then, we develop a power allocation strategy based on successive convex approximation to maximize the communications sum rate while guaranteeing the CRB con-straint and transmit power budget. Our analysis shows that the introduction of sensing functionality increases the beamforming uncertainty and inter-user interference on the communications side. However, these factors can be mitigated by deploying a very large number of antennas. The numerical results verify our findings and demonstrate the power allocation efficiency. |
نوع الوثيقة: | article in journal/newspaper |
اللغة: | English |
ردمك: | 979-83-503-2921-6 |
Relation: | urn:ISBN:9798350329216 |
DOI: | 10.1109/RadarConf2458775.2024.10549340 |
الاتاحة: | https://pure.qub.ac.uk/en/publications/ed91e366-38a0-4cfd-9754-945304b4fd96 https://doi.org/10.1109/RadarConf2458775.2024.10549340 |
Rights: | info:eu-repo/semantics/closedAccess |
رقم الانضمام: | edsbas.55D57A8B |
قاعدة البيانات: | BASE |
ردمك: | 9798350329216 |
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DOI: | 10.1109/RadarConf2458775.2024.10549340 |