Successive interference cancelation‐inspired channel estimation for downlink non‐orthogonal multiple access

2021 ◽  
Author(s):  
Lehlohonolo Sekokotoana ◽  
Fambirai Takawira ◽  
Olutayo Oyerinde
Keyword(s):  
Channel Estimation ◽  
Multiple Access ◽  
Successive Interference Cancelation ◽  
Interference Cancelation

scholarly journals Nearest Neighbor Decoding and Pilot-Aided Channel Estimation for Fading Channels

Entropy ◽  
2020 ◽  
Vol 22 (9) ◽  
pp. 971
Author(s):  
A. Taufiq Asyhari ◽  
Tobias Koch ◽  
Albert Guillén i Fàbregas
Keyword(s):  
Channel Estimation ◽  
Fading Channels ◽  
Multiple Access ◽  
Nearest Neighbor ◽  
Signal To Noise Ratio ◽  
Multiple Input Multiple Output ◽  
Comparative Performance ◽  
Single Output ◽  
Multiple Input ◽  
Flat Fading

We study the information rates of noncoherent, stationary, Gaussian, and multiple-input multiple-output (MIMO) flat-fading channels that are achievable with nearest neighbor decoding and pilot-aided channel estimation. In particular, we investigate the behavior of these achievable rates in the limit as the signal-to-noise ratio (SNR) tends to infinity by analyzing the capacity pre-log, which is defined as the limiting ratio of the capacity to the logarithm of the SNR as the SNR tends to infinity. We demonstrate that a scheme estimating the channel using pilot symbols and detecting the message using nearest neighbor decoding (while assuming that the channel estimation is perfect) essentially achieves the capacity pre-log of noncoherent multiple-input single-output flat-fading channels, and it essentially achieves the best so far known lower bound on the capacity pre-log of noncoherent MIMO flat-fading channels. Extending the analysis to fading multiple-access channels reveals interesting relationships between the number of antennas and Doppler bandwidth in the comparative performance of joint transmission and time division multiple-access.

Adaptive Successive Interference Cancelation Using Fuzzy Derived Weights

2013 ◽  
Vol 38 (8) ◽  
pp. 2179-2187
Author(s):  
Asrar U. H. Sheikh ◽  
Mohammed A. Ali ◽  
Azzedine Zerguine
Keyword(s):  
Successive Interference Cancelation ◽  
Interference Cancelation

scholarly journals Uplink Non-Orthogonal Multiple Access with Channel Estimation Errors for Internet of Things Applications

Sensors ◽  
2019 ◽  
Vol 19 (4) ◽  
pp. 912
Author(s):  
Minjoong Rim ◽  
Chung Kang
Keyword(s):  
Internet Of Things ◽  
Channel Estimation ◽  
Communication Systems ◽  
Multiple Access ◽  
Base Station ◽  
Shared Resources ◽  
Estimation Errors ◽  
Channel Estimation Errors ◽  
Pilot Symbols ◽  
Shift Keying

One of the key requirements for next generation wireless or cellular communication systems is to efficiently support a large number of connections for Internet of Things (IoT) applications, and uplink non-orthogonal multiple access (NOMA) schemes can be used for this purpose. In uplink NOMA systems, pilot symbols, as well as data symbols can be superimposed onto shared resources. The error rate performance can be severely degraded due to channel estimation errors, especially when the number of superimposed packets is large. In this paper, we discuss uplink NOMA schemes with channel estimation errors, assuming that quadrature phase shift keying (QPSK) modulation is used. When pilot signals are superimposed onto the shared resources and a large number of devices perform random accesses concurrently to a single resource of the base station, the channels might not be accurately estimated even in high SNR environments. In this paper, we propose an uplink NOMA scheme, which can alleviate the performance degradation due to channel estimation errors.

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