Abstract-This work focuses on large scale multi-user MIMO systems in which the base station (BS) outfitted with M antennas communicates with K single antenna user equipments (UEs). In particular, we aim at designing the linear precoder and receiver that maximizes the minimum signal

Abstract — Assuming perfect channel state information (CSI), linear precoding/decoding for multiple-input multiple-output (MIMO) systems has been considered in the literature under various performance criteria, such as minimum total mean-square error (MSE), maximum mutual information, and min

design problem has been investigated for multicasting multiple data streams based on min–max mean-squared error (MSE) criterion. We aim at minimizing the maximal MSE of the signal waveform estimation among all receivers subjecting to power constraints at the trans-mitters and all the relay nodes

We design an end-to-end linear transceiver in the downlink of a multi-user multiple-input multiple-output (MIMO) sys-tem with multiple data streams per user and quantized chan-nel state information at the transmitter. We minimize the sum mean squared error (SMSE) under a sum power constraint

in an N × N grid sensor network. We explore routing algorithms which balances the load by using the min max approach. In this proposed approach the nodes being used are some clustered head or some intelligent node that can perform a decision making. In this host based system each node will collect

Abstract—We study the robust transceiver optimization in downlink multiuser multiple-input multiple-output (MU-MIMO) systems aiming at minimizing transmit power under probabilistic quality-of-service (QoS) requirements. Owing to the unknown distributed interference, the channel estimation error

particular characteristics, including directionality and susceptibility to noise sources in the visible spectrum that must be managed. In this paper we present a new indoor FSO system, also known as a visible light communication (VLC) system that addresses achieving satisfactory data rates while supporting

In this paper, linear transceiver design for multi-hop amplify-and-forward (AF) multiple-input multiple-out (MIMO) relaying systems with Gaussian distributed channel estimation errors is investigated. Commonly used transceiver design criteria including weighted mean-square-error (MSE) minimization

-effort traffic, by allocating the excess bandwidth to best-effort traffic in a max-min fair manner. We consider scheduling algorithms for both systems with negligible transceiver tuning latency and systems with non-negligible transceiver tuning latency. We map the optimal preemptive Open-Shop scheduling

Abstract—This paper studies the achievable degrees of freedom (DoF) for multi-user multiple-input multiple-output (MIMO) two-way relay channels, where there are K source nodes, each equipped with M antennas, one relay node, equipped with N antennas, and each source node exchanges independent