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Exploiting the full benefits of massive multiple input multiple output (MIMO) technology can be directly affected by the efficiency of the channel state information (CSI) estimation. This paper focuses on frequency division duplexing (FDD) channel estimation and feedback. To the sparsity of the frequency selective massive MIMO channels, a two-step multiple approximate message passing algorithm is...
Massive MIMO systems are one of the key driving technologies for the next 5G communication systems. Using a large number of antennas at the base station to serve the end users may, in many cases, render the MIMO channels sparse due to limited scatterers at the Base Station (BS). In order to exploit this fact, compressed sensing channel estimation has been proposed in the literature. In this paper,...
Analog network coding has been successfully employed in conventional two way relaying systems. However, analog two way relaying is successful when the two sender and destination nodes are symmetric. In practical cellular-based mobile communication systems of the likes of Long Term Evolution (LTE), the system is composed of several powerful base-stations and low power users' equipment. Applying classical...
This paper investigates the interference alignment (IA) solution for a K-user static flat-fading multiple input multiple output (MIMO) interference channel. Optimal users' precoders and postcoders are designed through a rank constraint rank minimization (RCRM) framework with IA conditions inserted within the constraints and the cost function of a complex matrix optimization problem. With RCRM formulation,...
In cognitive radio (CR) networks, unlicensed users known as secondary users (SUs) can share the same spectrum with the licensed users known as primary users (PUs) on condition that the SUs interference must not exceed a certain level on PUs. Our target is to provide the SUs with a minimum acceptable quality-of-service (QoS), while keeping the interference to the PUs below a given threshold. However,...
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