Performance Analysis of 3D Massive MIMO Cellular Systems with Collaborative Base Station

Author:

Li Xingwang1ORCID,Li Lihua1,Xie Ling1,Su Xin1,Zhang Ping1

Affiliation:

1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100786, China

Abstract

Massive MIMO have drawn considerable attention as they enable significant capacity and coverage improvement in wireless cellular network. However, pilot contamination is a great challenge in massive MIMO systems. Under this circumstance, cooperation and three-dimensional (3D) MIMO are emerging technologies to eliminate the pilot contamination and to enhance the performance relative to the traditional interference-limited implementations. Motivated by this, we investigate the achievable sum rate performance of MIMO systems in the uplink employing cooperative base station (BS) and 3D MIMO systems. In our model, we consider the effects of both large-scale and small-scale fading, as well as the spatial correlation and indoor-to-outdoor high-rise propagation environment. In particular, we investigate the cooperative communication model based on 3D MIMO and propose a closed-form lower bound on the sum rate. Utilizing this bound, we pursue a “large-system” analysis and provide the asymptotic expression when the number of antennas at the BS grows large, and when the numbers of antennas at transceiver grow large with a fixed ratio. We demonstrate that the lower bound is very tight and becomes exact in the massive MIMO system limits. Finally, under the sum rate maximization condition, we derive the optimal number of UTs to be served.

Funder

National High Technology Research and Development Program of China

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering

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1. Multiuser Beam Index Modulation Wireless Transmission with Analogue Beamforming Networks;Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering);2020-05-18

2. Detection and Correction of Element Failures Using a Cumulative Sum Scheme for Active Phased Arrays;IEEE Access;2018

3. Angular Domain Data-Assisted Channel Estimation for Pilot Decontamination in Massive MIMO;Mobile Information Systems;2017

4. Capacity Bounds on the Ergodic Capacity of Distributed MIMO Systems over K Fading Channels;KSII Transactions on Internet and Information Systems;2016-08-31

5. Sum Rate Analysis of MU-MIMO with a 3D MIMO Base Station Exploiting Elevation Features;International Journal of Antennas and Propagation;2015

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