TY - GEN
T1 - Leveraging massive MIMO spatial degrees of freedom to reduce random access delay
AU - Ahsan, Fatima
AU - Sabharwal, Ashutosh
N1 - Funding Information:
The work of Ashutosh Sabharwal was partially supported by NSF Grants CNS-1518916 and CNS-1314822.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - Random access is a crucial building block for nearly all wireless networks, and impacts both the overall spectral efficiency and latency in communication. In this paper, we analytically show that the spatial degrees of freedom, e.g. available in massive MIMO systems, can potentially be leveraged to reduce random access latency. Using one-ring propagation model, we evaluate how the random access collision probability depends on the aperture size of the array and the spread of user's signal Angle-of-Arrivals (AoAs) at the base-station, as a function of the user-density and the number of random access codes. Our numerical evaluation shows that for practically sized large arrays in outdoor environments, a significant reduction in collision probability is possible, which in turn can decrease the random access latency.
AB - Random access is a crucial building block for nearly all wireless networks, and impacts both the overall spectral efficiency and latency in communication. In this paper, we analytically show that the spatial degrees of freedom, e.g. available in massive MIMO systems, can potentially be leveraged to reduce random access latency. Using one-ring propagation model, we evaluate how the random access collision probability depends on the aperture size of the array and the spread of user's signal Angle-of-Arrivals (AoAs) at the base-station, as a function of the user-density and the number of random access codes. Our numerical evaluation shows that for practically sized large arrays in outdoor environments, a significant reduction in collision probability is possible, which in turn can decrease the random access latency.
UR - http://www.scopus.com/inward/record.url?scp=85050963568&partnerID=8YFLogxK
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U2 - 10.1109/ACSSC.2017.8335719
DO - 10.1109/ACSSC.2017.8335719
M3 - Conference contribution
AN - SCOPUS:85050963568
T3 - Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
SP - 2007
EP - 2011
BT - Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
A2 - Matthews, Michael B.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
Y2 - 29 October 2017 through 1 November 2017
ER -