Abstract
In this paper, we investigate user selection algorithms for massive MIMO downlink wireless channel using secrecy rates. Massive MIMO is new disruptive wireless communication technology that exploits the benefits of having large number of antennas at the base station (BS). Given the fact of large antenna dimensions at BS, still the number of devices/users in the system are larger than total antennas. Hence, selection of an optimal set of devices/users for efficient resource allocation is a critical issue. This paper investigates user selection algorithms in massive MIMO downlink/broadcast wireless system. Traditional selection algorithms are generally based on channel strength, channel angle information, algorithm complexity and capacity maximization. In this paper, we investigate selection algorithms based on secrecy rate which is important parameter for secure transmission and compare the performance of this new approach with existing algorithms.
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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Arif Khan, M., Islam, R. (2015). Secrecy Rate Based User Selection Algorithms for Massive MIMO Wireless Networks. In: Thuraisingham, B., Wang, X., Yegneswaran, V. (eds) Security and Privacy in Communication Networks. SecureComm 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 164. Springer, Cham. https://doi.org/10.1007/978-3-319-28865-9_46
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DOI: https://doi.org/10.1007/978-3-319-28865-9_46
Publisher Name: Springer, Cham
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