Advanced MIMO Systems Optimization
430 papers on this topic
Uplink power control in cell-free massive MIMO via deep learning
This paper focuses on the use of a deep learning approach to perform sum-rate-max and max-min power allocation in the uplink of a cell-free massive MIMO network. In particular, we train a deep...
Massive MIMO Extensions to the COST 2100 Channel Model: Modeling and Validation
To enable realistic studies of massive multiple-input multiple-output systems, the COST 2100 channel model is extended based on measurements. First, the concept of a base station-side visibility...
Globally Optimal Beamforming for Rate Splitting Multiple Access
We consider globally optimal precoder design for rate splitting multiple access in Gaussian multiple-input single-output downlink channels with respect to weighted sum rate and energy efficiency...
Distributed User Clustering and Resource Allocation for Imperfect NOMA in Heterogeneous Networks
In this paper, we propose a distributed cluster formation (CF) and resource allocation (RA) framework for non-ideal non-orthogonal multiple access (NOMA) schemes in heterogeneous networks. The...
MIMO Channel Information Feedback Using Deep Recurrent Network
In a multiple-input multiple-output (MIMO) system, the availability of channel state information (CSI) at the transmitter is essential for performance improvement. Recent convolutional neural...
Deep Convolutional Compression for Massive MIMO CSI Feedback
Coded caching provides significant gains over conventional uncoded caching by creating multicasting opportunities among distinct requests. Massive multiple-input multiple-output (MIMO) systems...
A Fast Heuristic for Gateway Location in Wireless Backhaul of 5G Ultra-Dense Networks
In 5G Ultra-Dense Networks, a distributed wireless backhaul is an attractive solution for forwarding traffic to the core. The macro-cell coverage area is divided into many small cells. A few of...
Joint D2D Collaboration and Task Offloading for Edge Computing: A Mean Field Graph Approach
Mobile edge computing (MEC) facilitates computation offloading to edge server, as well as task processing via device-to-device (D2D) collaboration. Existing works mainly focus on centralized...
Multi-objective Resource Allocation for D2D and Enabled MC-NOMA Networks by Tchebycheff Method
This paper considers a resource allocation problem in device-to-device (D2D) communications sharing the same frequency spectrum. In particular, the CUs utilize non-orthogonal multiple access...
Resource Allocation and Scheduling in Non-coherent User-centric Cell-free MIMO
We study the problem of user-scheduling and resource allocation in distributed multi-user, multiple-input multiple-output (MIMO) networks implementing user-centric clustering and non-coherent...
Channel Hardening and Favorable Propagation in Cell-Free Massive MIMO with Stochastic Geometry
Cell-Free (CF) Massive MIMO is an alternative topology for future wireless networks, where a large number of single-antenna access points (APs) are distributed over the coverage area. There are no...
Spatial and Temporal Management of Cellular HetNets with Multiple Solar Powered Drones
This paper proposes an energy management framework for cellular heterogeneous networks (HetNets) supported by dynamic solar powered drones. A HetNet composed of a macrocell base station (BS),...
An Efficient Rate-Splitting Multiple Access Scheme for the Downlink of C-RAN Systems
This work studies the optimization of rate-splitting multiple access (RSMA) transmission technique for a cloud radio access network (C-RAN) downlink system. Main idea of RSMA is to split the...
Code-domain NOMA in Massive MIMO: When is it Needed?
In overloaded Massive MIMO (mMIMO) systems, wherein the number $K$ of user equipments (UEs) exceeds the number of base station antennas $M$, it has recently been shown that non-orthogonal multiple...
Optimal Downlink Transmission for Cell Free SWIPT Massive MIMO Systems with Active Eavesdropping
This paper considers secure simultaneous wireless information and power transfer (SWIPT) in cell-free massive multiple-input multiple-output (MIMO) systems. The system consists of a large number...
Deep Learning for CSI Feedback Based on Superimposed Coding
Massive multiple-input multiple-output (MIMO) with frequency division duplex (FDD) mode is a promising approach to increasing system capacity and link robustness for the fifth generation (5G)...
Massive MIMO is a Reality -- What is Next? Five Promising Research Directions for Antenna Arrays
Massive MIMO (multiple-input multiple-output) is no longer a "wild" or "promising" concept for future cellular networks - in 2018 it became a reality. Base stations (BSs) with 64 fully digital...
Deep Learning for UL/DL Channel Calibration in Generic Massive MIMO Systems
One of the fundamental challenges to realize massive Multiple-Input Multiple-Output (MIMO) communications is the accurate acquisition of channel state information for a plurality of users at the...