Abstract
This paper considers a low complexity codebook-based beam searching algorithm for massive MIMO (Multiple Input Multiple Output) systems in limited scattering environments. Based on the asymptotic property of the massive MIMO systems that the channel array response vector converges to the optimal precoding vector derived from channel singular value decomposition (SVD), we propose a independent selection method for the transmitter (TX) and receiver (RX) beam vectors. Due to the independent selection of the Tx and Rx beam vectors from the asymptotic property, the proposed algorithm has a much lower complexity compared to the full search beam selection method. Furthermore, the proposed algorithm shows the similar data rates to the full search beam selection method at low signal to noise ratio regions in a 6-bit codebook system with 64×64 antennas and 2 RF chains at each TX and RX.
| Original language | English |
|---|---|
| Title of host publication | ICUFN 2018 - 10th International Conference on Ubiquitous and Future Networks |
| Publisher | IEEE Computer Society |
| Pages | 589-591 |
| Number of pages | 3 |
| ISBN (Print) | 9781538646465 |
| DOIs | |
| Publication status | Published - 2018 Aug 14 |
| Event | 10th International Conference on Ubiquitous and Future Networks, ICUFN 2018 - Prague, Czech Republic Duration: 2018 Jul 3 → 2018 Jul 6 |
Publication series
| Name | International Conference on Ubiquitous and Future Networks, ICUFN |
|---|---|
| Volume | 2018-July |
| ISSN (Print) | 2165-8528 |
| ISSN (Electronic) | 2165-8536 |
Other
| Other | 10th International Conference on Ubiquitous and Future Networks, ICUFN 2018 |
|---|---|
| Country | Czech Republic |
| City | Prague |
| Period | 18/7/3 → 18/7/6 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Computer Science Applications
- Hardware and Architecture
Cite this
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Low Complexity Beam Searching Algorithm Using Asymptotic Property of Massive MIMO Systems. / Kim, Heeyoung; Jung, Jaemin; Han, Seongbae; Kim, Seokki; Baek, Seungkwon; Choi, Sooyong.
ICUFN 2018 - 10th International Conference on Ubiquitous and Future Networks. IEEE Computer Society, 2018. p. 589-591 8436659 (International Conference on Ubiquitous and Future Networks, ICUFN; Vol. 2018-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Low Complexity Beam Searching Algorithm Using Asymptotic Property of Massive MIMO Systems
AU - Kim, Heeyoung
AU - Jung, Jaemin
AU - Han, Seongbae
AU - Kim, Seokki
AU - Baek, Seungkwon
AU - Choi, Sooyong
PY - 2018/8/14
Y1 - 2018/8/14
N2 - This paper considers a low complexity codebook-based beam searching algorithm for massive MIMO (Multiple Input Multiple Output) systems in limited scattering environments. Based on the asymptotic property of the massive MIMO systems that the channel array response vector converges to the optimal precoding vector derived from channel singular value decomposition (SVD), we propose a independent selection method for the transmitter (TX) and receiver (RX) beam vectors. Due to the independent selection of the Tx and Rx beam vectors from the asymptotic property, the proposed algorithm has a much lower complexity compared to the full search beam selection method. Furthermore, the proposed algorithm shows the similar data rates to the full search beam selection method at low signal to noise ratio regions in a 6-bit codebook system with 64×64 antennas and 2 RF chains at each TX and RX.
AB - This paper considers a low complexity codebook-based beam searching algorithm for massive MIMO (Multiple Input Multiple Output) systems in limited scattering environments. Based on the asymptotic property of the massive MIMO systems that the channel array response vector converges to the optimal precoding vector derived from channel singular value decomposition (SVD), we propose a independent selection method for the transmitter (TX) and receiver (RX) beam vectors. Due to the independent selection of the Tx and Rx beam vectors from the asymptotic property, the proposed algorithm has a much lower complexity compared to the full search beam selection method. Furthermore, the proposed algorithm shows the similar data rates to the full search beam selection method at low signal to noise ratio regions in a 6-bit codebook system with 64×64 antennas and 2 RF chains at each TX and RX.
UR - http://www.scopus.com/inward/record.url?scp=85052501385&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85052501385&partnerID=8YFLogxK
U2 - 10.1109/ICUFN.2018.8436659
DO - 10.1109/ICUFN.2018.8436659
M3 - Conference contribution
AN - SCOPUS:85052501385
SN - 9781538646465
T3 - International Conference on Ubiquitous and Future Networks, ICUFN
SP - 589
EP - 591
BT - ICUFN 2018 - 10th International Conference on Ubiquitous and Future Networks
PB - IEEE Computer Society
ER -