Paper Info
Title
Decoupled Signal Detection for the Uplink of Large-Scale MIMO Systems in Heterogeneous Networks.
Abstract
Massive multiple-input multiple-output (MIMO) systems are strong candidates for future fifth generation (5G) heterogeneous cellular networks. For 5G, a network densification with a high number of different classes of users and data service requirements is expected. Such a large number of connected devices needs to be separated in order to allow the detection of the transmitted signals according to different data requirements. In this paper, a decoupled signal detection (DSD) technique which allows the separation of the uplink signals, for each user class, at the base station (BS) is proposed for massive MIMO systems. A mathematical signal model for massive MIMO systems with centralized and distributed antennas in heterogeneous networks is also developed. The performance of the proposed DSD algorithm is evaluated and compared with existing detection schemes in a realistic scenario with distributed antennas. A sum-rate analysis and a computational cost study for DSD are also presented. Simulation results show an excellent performance of the proposed DSD algorithm when combined with linear and successive interference cancellation detection techniques.
Year
Venue
Field
2016
arXiv: Information Theory
Base station,Mathematical optimization,Detection theory,Single antenna interference cancellation,MIMO,Real-time computing,Cellular network,Heterogeneous network,Computer engineering,Data as a service,Mathematics,Telecommunications link
DocType
Volume
Citations 
Journal
abs/1611.05597
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Leonel Arevalo143.12
Rodrigo C. de Lamare21461179.59
Martin Haardt33531311.32
Raimundo Sampaio Neto415525.30