Abstract
In this paper, we propose a radio frequency (RF) lens-embedded massive multiple-input multiple-output (MIMO) system. To analyze the characteristics of RF lens antennas, we first introduce the beam propagation method (BPM) and use it to construct a new channel model. We next design a low complexity codebook reflecting the characteristics of the RF lens antennas for limited feedback. Numerical results confirm that, compared to conventional approaches such as random vector quantization (RVQ), the proposed system shows significant performance enhancements in terms of the achievable rate and computational complexity.
Original language | English |
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Title of host publication | 2015 International Conference on Computing, Networking and Communications, ICNC 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 6-10 |
Number of pages | 5 |
ISBN (Electronic) | 9781479969593 |
DOIs | |
Publication status | Published - 2015 Mar 26 |
Event | 2015 International Conference on Computing, Networking and Communications, ICNC 2015 - Garden Grove, United States Duration: 2015 Feb 16 → 2015 Feb 19 |
Publication series
Name | 2015 International Conference on Computing, Networking and Communications, ICNC 2015 |
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Other
Other | 2015 International Conference on Computing, Networking and Communications, ICNC 2015 |
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Country/Territory | United States |
City | Garden Grove |
Period | 15/2/16 → 15/2/19 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications