DeepAI AI Chat
Log In Sign Up

On Uplink Performance of Multiuser Massive MIMO Relay Network With Limited RF Chains

by   Jindan Xu, et al.
Southeast University

This paper considers a multiuser massive multiple-input multiple-output uplink with the help of an analog amplify-and-forward relay. The base station equips a large array of N_d antennas but is supported by a far smaller number of radio-frequency chains. By first deriving new results for a cascaded phase-aligned two-hop channel, we obtain a tight bound for the ergodic rate in closed form for both perfect and quantized channel phase information. The rate is characterized as a function of a scaled equivalent signal-to-noise ratio of the two-hop channel. It implies that the source and relay powers can be respectively scaled down as 1/N_d^a and 1/N_d^1-a  (0≤a≤1) for an asymptotically unchanged sum rate. Then for the rate maximization, the problem of power allocation is optimized with closed-form solutions. Simulation results verified the observations of our derived results.


page 1

page 2

page 3

page 4

page 21

page 32


On the Uplink Achievable Rate of Massive MIMO System With Low-Resolution ADC and RF Impairments

This paper considers channel estimation and uplink achievable rate of th...

Optimal Discrete Spatial Compression for Beamspace Massive MIMO Signals

Deploying massive number of antennas at the base station side can boost ...

Robust User Scheduling with COST 2100 Channel Model for Massive MIMO Networks

This paper considers a Massive multiple-input multiple-output (MIMO) net...

Uplink Data Detection Analysis of 1-Bit Quantized Massive MIMO

This paper presents an analytical framework for the data detection in ma...

Programmable Metasurface Based Multicast Systems: Design and Analysis

This paper considers a multi-antenna multicast system with programmable ...

Performance Analysis and Optimization for RIS-Assisted Multi-User Massive MIMO Systems with Imperfect Hardware

The paper studies a reconfigurable intelligent surface (RIS)-assisted mu...