The flow control algorithms currently used in the Internet have been tailored to share available capacity between users on the basis of the physical characteristics of the network links they use ra
A data center has an abundance of processing power (e.g., it hosts tens of thousands of servers).
Resource Allocation for Device-to-Device Broadcast Communication in Cellular Networks.
For the last decade, QoS support for the Internet has focused on real-time applications such as audio and video.
In this paper, we investigate the resource allocation problem for massive multiple-input-multiple-output (mMIMO) systems with pilot contamination in spectrum sharing networks.
In this paper, we deal with resource allocation in the downlink of spatial multiplexing multiple-input-multiple-output (MIMO)-orthogonal frequency-division multiple-access (OFDMA) systems.
Large-scale ad-hoc deployment of small cells or access points is expected to improve the coverage and spectrum reuse.
The downlink frame of a cellular relay network is considered, where a shared MIMO decode-and-froward relaying is used to serve the users at the edge of the cell.
Ultra-Reliable and Low Latency Communications (URLLC) is an important emerging area for the fifth generation (5G) cellular network.
Dynamic resource allocation to satisfy varying, concurrent and unpredictable demands from multiple applications is a key need in cloud systems.
