In this paper, we consider the coexistence between a large number of cognitive radio users and a licensed user in order to enhance the spectrum efficiency.
In this paper, we consider the coexistence between a large number of cognitive radio users and a licensed user in order to enhance the spectrum efficiency.
In this paper, we consider the coexistence between a large number of cognitive radio users and a licensed user in order to enhance the spectrum efficiency.
In this paper, low complexity based methods for joint scheduling of users and receive antennas have been proposed.
In this paper, we present a low-complexity algorithm for real-time joint transmit and receive antenna selection in MIMO systems.
In this paper we focus on opportunistic resource allocation between the access points (AP) and the wireless stations (STA) for the required spectrum management ...
In this paper, low complexity based methods for joint scheduling of users and receive antennas have been proposed. Here, this has been shown that low complexity ...
This paper investigates the user selection problem in Multi-User MIMO (MU-MIMO) environment using the multi-agent Reinforcement learning (RL) methodology.
Performance analysis of joint transmit antenna selection and user ...
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User scheduling schemes. In Ma-MIMO systems, antenna selection is the factor that makes user scheduling important. A SUS that is widely used in conventional ...
Zhang and K. B. Latief, User scheduling in Cognitive MIMO 2008. "Low-Complexity Antenna. Selection and Broadcast systems", proc of IEEE ICC. [9]. S. Haykin ...