2017/05/10 by Oskari Tervo, Tervo, Oskari, Le‐Nam Tran +8
Computer Science · Engineering · Mathematics · #Advanced MIMO Systems Optimization #Advanced Wireless Network Optimization #Cooperative Communication and Network Coding #FOS: Computer and information sciences #Information Theory (cs.IT) #cs.IT #math.IT
paper · pdf · doi:10.48550/arxiv.1705.03723
5 pages, 4 figures, accepted for IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2017)
arxiv created 2017/05/10 · openalex publication_date 2017/05/10 · arxiv updated 2017/05/11 · openalex created_date 2022/10/06 · openalex updated_date 2026/07/28
This paper studies energy-efficient joint transmit and receive beamforming in multi-cell multi-user multiple-input multiple-output systems. We consider conventional network energy efficiency metric where the users can receive unicasting streams in addition to the group-specific common multicasting streams which have certain rate constraints. The goal is to use the transmission resources more efficiently to improve the energy efficiency, when the users are equipped with multiple antennas. Numerical results show the achieved energy efficiency gains by using the additional degrees of freedom of the multicasting transmission to private message unicasting.