2017/01/03 by Masoud Arash, Arash, Masoud, Ehsan Yazdian +7
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Cooperative Communication and Network Coding #FOS: Computer and information sciences #Information Theory (cs.IT) #Wireless Communication Networks Research
paper · pdf · doi:10.48550/arxiv.1701.00767
openalex publication_date 2017/01/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Massive MIMO systems promise high data rates by employing large number of\nantennas, which also increases the power usage of the system as a consequence.\nThis creates an optimization problem which specifies how many antennas the\nsystem should employ in order to operate with maximal energy efficiency. Our\nmain goal is to consider a base station with a fixed number of antennas, such\nthat the system can operate with a smaller subset of antennas according to the\nnumber of active user terminals, which may vary over time. Thus, in this paper\nwe propose an antenna selection algorithm which selects the best antennas\naccording to the better channel conditions with respect to the users, aiming at\nimproving the overall energy efficiency. Then, due to the complexity of the\nmathematical formulation, a tight approximation for the consumed power is\npresented, using the Wishart theorem, and it is used to find a deterministic\nformulation for the energy efficiency. Simulation results show that the\napproximation is quite tight and that there is significant improvement in terms\nof energy efficiency when antenna selection is employed.\n