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Novel Detection Scheme for LSAS Using Power Allocation in Multi User Scenario with LTE-A and MMB Channels

Title
Novel Detection Scheme for LSAS Using Power Allocation in Multi User Scenario with LTE-A and MMB Channels
Authors
Malik S.Moon S.Kim B.You C.Liu H.Kim J.-H.Kim J.Hwang I.
Ewha Authors
김정호
SCOPUS Author ID
김정호scopus
Issue Date
2017
Journal Title
Wireless Personal Communications
ISSN
0929-6212JCR Link
Citation
vol. 95, no. 4, pp. 4425 - 4440
Keywords
EVD-PALSASLTE-AMMBMMSEMRCPower allocationZF
Publisher
Springer New York LLC
Indexed
SCIE; SCOPUS WOS scopus
Abstract
Massive MIMO (also known as the “Large-Scale Antenna System”) enables a significant reduction of latency on the air interface with the use of a large excess of service-antennas over active terminals and time division duplex operation. For large-scale MIMO, several technical issues need to be addressed (e.g., pilot pattern design and low-antenna power transmission design) and theoretically addressed (e.g., channel estimation and power allocation schemes). In this paper, we analyze the ergodic spectral efficiency upper bound of a large-scale MIMO, and the key technologies including channel uplink detection. We also present new approaches for detection and power allocation. Assuming arbitrary antenna correlation and user distributions, we derive approximations of achievable rates with linear detection techniques, namely zero forcing, maximum ratio combining, minimum mean squared error (MMSE) and eigen-value decomposition power allocation (EVD-PA). While the approximations are tight in the large system limit with an infinitely large number of antennas and user terminals, they also match our simulations for realistic system dimensions. We further show that a simple EVD-PA detection scheme can achieve the same performance as MMSE with one order of magnitude fewer antennas in both uncorrelated and correlated fading channels. Our simulation results show that our proposal is a better detection scheme than the conventional scheme for LSAS. Also, we used two channel environment channels for further analysis of our algorithm: the Long Term Evolution Advanced channel and the Millimeter wave Mobile Broadband channel. © 2017, Springer Science+Business Media New York.
DOI
10.1007/s11277-017-4093-7
Appears in Collections:
엘텍공과대학 > 전자공학과 > Journal papers
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