Paper Info
Title
Multiuser Detection in Massive Spatial Modulation MIMO With Low-Resolution ADCs
Abstract
In this paper, we research the multiuser detection (MUD) in a new Spatial Modulation Multiple-Input-Multiple-Output (SM-MIMO) system, whose Base Station (BS) is equipped with massive Radio-Frequency (RF) chains with low-resolution Analog-to-Digital Convertors (ADCs), and the User Equipments (UEs) have multiple Transmit Antennas (TAs) but single RF chain. In the uplink, UEs transmit their data by the Cyclic-Prefix Single-Carrier (CP-SC) SM technique. The key is how to design practical MU detectors to handle the severely quantized measurements and antenna correlations. Coherent detection is focused, so a Least-Square (LS) channel estimator is designed to acquire the the channel side information (CSI) at the Receiver (CSIR). Then, we firstly solve the MUD problem by the Sum-Product-Algorithm (SPA) on a clustered factor graph (FG) whose variable nodes correspond to the transmitted vectors from the UEs. Next, based on the Central Limit Theorem (CLT) and Taylor expansions, the SPA detector (SPAD) is simplified as a new low-complexity Message Passing De-Quantization Detector (MPDQD), which exploits both the structured sparsity and prior probability distribution of the transmitted signal. By utilizing the clustering technique, damping mechanism, and Analog Spatial Filtering (ASF), the robustness of MPDQD is improved significantly. Simulation results show that MPDQD outperforms the linear detectors, works steadily under strong channel correlations, and even performs similarly as its counterpart in the un-quantized SM-MIMO.
Year
DOI
Venue
2015
10.1109/TWC.2014.2382098
IEEE Transactions on Wireless Communications
Keywords
Field
DocType
base station,message passing de-quantization,statistical distributions,user equipment,coherent detection,clustered factor graph,spatial filters,mud problem,transmitting antennas,damping mechanism,analogue-digital conversion,asf,channel side information at the receiver,central limit theorem,clt,least square channel estimator,analog spatial filtering,quantisation (signal),low-resolution adc,correlation theory,csir,mpdqd,analog-to-digital convertor,taylor expansions,least mean squares methods,sum-product algorithm,mu detector,channel correlation,adc,mimo communication,massive mimo,transmit antenna,quantized measurement,cyclic prefix single carrier,message passing de-quantization detector,prior probability distribution,structured sparsity,radio receivers,sm-mimo system,multiuser detection,radio equipment,spatial modulation,clustering technique,spatial modulation multiple input multiple output,spa detector,channel estimation,radiofrequency chain,antenna correlation,cp-sc sm technique,spad,detectors,mimo,correlation,radio frequency,vectors
Factor graph,Base station,Control theory,Algorithm,Communication channel,Multiuser detection,MIMO,Modulation,Real-time computing,Detector,Mathematics,Telecommunications link
Journal
Volume
Issue
ISSN
14
4
1536-1276
Citations 
PageRank 
References 
61
1.77
41
Authors
3
Name
Order
Citations
PageRank
Shengchu Wang1817.92
Yunzhou Li234536.62
Jing Wang31038105.16