Precoder Design For Multi-group Multicasting with a Common Message
| Autor: | Melda Yuksel, Ahmet Zahid Yalcin |
|---|---|
| Přispěvatelé: | TOBB ETU, Faculty of Engineering, Department of Electrical & Electronics Engineering, TOBB ETÜ, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü, Yüksel, Ayşe Melda |
| Rok vydání: | 2018 |
| Předmět: |
Signal Processing (eess.SP)
Minimum mean square error Multicast superposition coding Computer science ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS multicast transmission 020302 automobile design & engineering 020206 networking & telecommunications Common and private data transmission 02 engineering and technology Precoding Base station 0203 mechanical engineering Transmission (telecommunications) Single antenna interference cancellation 0202 electrical engineering electronic engineering information engineering FOS: Electrical engineering electronic engineering information engineering Electrical Engineering and Systems Science - Signal Processing Electrical and Electronic Engineering Unicast Algorithm multiple input multiple output physical layer precoding Computer Science::Information Theory |
| DOI: | 10.48550/arxiv.1812.00433 |
| Popis: | This paper considers precoding for multi-group multicasting with a common message. The multiple antenna base station communicates with $K$ clusters, each with $L$ users. There is a common message destined to all users and a private multicast message for each cluster. We study the weighted sum rate (WSR) maximization problem for two different schemes: (i) the base station transmits the superposition of common and multicast messages, (ii) the base station concatenates the multicast message vector with the common message. We also formulate a second problem, weighted minimum mean square error (WMMSE) minimization, and prove that WSR maximization and WMMSE minimization are equivalent at the optimal solution. Inspired by the WMMSE problem, we suggest a suboptimal algorithm, based on alternating optimization. We apply this algorithm to the two transmission schemes, and understand that there is a fundamental difference between the two. We compare the results with maximal ratio transmission (MRT), and zero-forcing (ZF) precoding, and investigate the effects of the number of base station antennas, the number of groups and the number of users in a group. Finally, we study imperfect successive interference cancellation (SIC) at the receivers and show that the first transmission scheme is more robust. Comment: 31 pages, 8 figures |
| Databáze: | OpenAIRE |
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