Back to Search
Start Over
Is Multipath Channel Beneficial for Wideband Massive MIMO With Low-Resolution ADCs?
- Source :
- IEEE Transactions on Communications. 69:4083-4097
- Publication Year :
- 2021
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2021.
-
Abstract
- Coarse quantization by using low-resolution analog-to-digital converters (ADCs) is an attractive approach to relieve the burden of power consumption and hardware cost of implementing massive multiple-input multiple-output (MIMO) systems. In this article, we analyze the uplink spectral efficiency of a multiuser massive MIMO system with low-resolution ADCs in the context of orthogonal frequency division multiplexing (OFDM) under multipath channels. Firstly, we develop an efficient pilot scheme which results in a constant average power of the quantization noise for different channel delay power spectrums and also minimizes the mean squared error of channel estimation. Then a tight approximation of the uplink achievable rate is derived in a closed form considering both perfect channel state information (CSI) and estimated CSI. Then we analyze the impact of multipath channels on the system performance. Under perfect CSI, we discover that an increment of multipath taps has a positive impact on compensating the performance degradation due to the quantization noise. Under imperfect CSI, the most beneficial channel is uniformly distributed over a specific number of taps. Simulations are conducted to verify our analytical results.
- Subjects :
- Orthogonal frequency-division multiplexing
Computer science
Quantization (signal processing)
ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS
020208 electrical & electronic engineering
MIMO
020206 networking & telecommunications
Data_CODINGANDINFORMATIONTHEORY
02 engineering and technology
Spectral efficiency
Channel state information
Telecommunications link
0202 electrical engineering, electronic engineering, information engineering
Electronic engineering
Electrical and Electronic Engineering
Multipath propagation
Computer Science::Information Theory
Communication channel
Subjects
Details
- ISSN :
- 15580857 and 00906778
- Volume :
- 69
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Communications
- Accession number :
- edsair.doi...........b9a74d76ca46ea218194d1e937ef01a6
- Full Text :
- https://doi.org/10.1109/tcomm.2021.3060036