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Non-orthogonal multiple access for 5G: solutions, challenges, opportunities, and future research trends
The concept of software defined multiple access (SoDeMA) is proposed, which enables adaptive configuration of available multiple access schemes to support diverse services and applications in future 5G networks.
Energy-Efficient Hybrid Analog and Digital Precoding for MmWave MIMO Systems With Large Antenna Arrays
This paper proposes a successive interference cancelation (SIC)-based hybrid precoding with near-optimal performance and low complexity, and proposes a low-complexity algorithm to realize SIC-based Hybrid precoding, which can avoid the need for the singular value decomposition and matrix inversion.
Spectrum and Energy-Efficient Beamspace MIMO-NOMA for Millimeter-Wave Communications Using Lens Antenna Array
This paper proposes a new spectrum and energy-efficient mmWave transmission scheme that integrates the concept of non-orthogonal multiple access (NOMA) with beamspace MIMO, i.e., beamspaceMIMO-NOMO, and proposes an iterative optimization algorithm with low complexity to realize the dynamic power allocation.
Near-Optimal Beam Selection for Beamspace MmWave Massive MIMO Systems
Simulation results verify that IA beam selection can achieve the near-optimal sum-rate performance and higher energy efficiency than conventional schemes.
Millimeter Wave Communications for Future Mobile Networks
A comprehensive survey of mmWave communications for future mobile networks (5G and beyond) is presented, including an overview of the solution for multiple access and backhauling, followed by the analysis of coverage and connectivity.
MmWave massive-MIMO-based wireless backhaul for the 5G ultra-dense network
The feasibility of mmWave massive-MIMO-based wireless backhaul for 5G UDN is discussed, and the benefits and challenges are addressed, and a digitally controlled phase shifter network (DPSN)-based hybrid precoding/combining scheme for mmWavemassive MIMO is proposed.
Low-Complexity Soft-Output Signal Detection Based on Gauss–Seidel Method for Uplink Multiuser Large-Scale MIMO Systems
This paper proposes to exploit the Gauss-Seidel method to iteratively realize the MMSE algorithm without the complicated matrix inversion, and proposes a diagonal-approximate initial solution to the GS method, which is much closer to the final solution than the traditional zero-vector initial solution.
Spatially Common Sparsity Based Adaptive Channel Estimation and Feedback for FDD Massive MIMO
This paper proposes a spatially common sparsity based adaptive channel estimation and feedback scheme for frequency division duplex based massive multi-input multi-output (MIMO) systems, which adapts
Smart Pilot Assignment for Massive MIMO
A smart pilot assignment (SPA) scheme is proposed in this letter to improve the performance of users with severe pilot contamination by exploiting the large-scale characteristics of fading channels.
Performance Analysis of Mixed-ADC Massive MIMO Systems Over Rician Fading Channels
This work investigates the performance of mixed-ADC massive MIMO systems over the Rician fading channel, which is more general for the 5G scenarios like Internet of Things, and reveals the tradeoff between the achievable rate and the energy efficiency.