Abstract
Allowing the receiver in a multiple antenna wireless system to send a limited amount of channel state information (CSI) feedback is an effective way to enable channel adaptive signaling. This paper addresses the problem of controlling the feedback update period and feedback rate of limited feedback multiple antennas systems in temporally correlated channels. The challenge in our problem is how to assign the feedback update period and feedback rate subject to a constraint on feedback overhead. The presented approach analyzes the required CSI feedback rate and feedback update period by maximizing a lower bound on the average normalized effective signal-to-noise ratio. By imposing the channel evolution structure and employing a random quantization argument, we are able to determine a closed-form solution. This result leads to a bound on the feedback rate that characterizes when the proposed feedback update control scheme outperforms the conventional feedback scheme. Both analytical and numerical results demonstrate that the proposed feedback control strategy improves the average effective SNR with a relatively small amount of feedback overhead.
| Original language | English |
|---|---|
| Title of host publication | 2010 IEEE Global Telecommunications Conference, GLOBECOM 2010 |
| DOIs | |
| Publication status | Published - 2010 |
| Externally published | Yes |
| Event | 53rd IEEE Global Communications Conference, GLOBECOM 2010 - Miami, FL, United States Duration: 2010 Dec 6 → 2010 Dec 10 |
Other
| Other | 53rd IEEE Global Communications Conference, GLOBECOM 2010 |
|---|---|
| Country | United States |
| City | Miami, FL |
| Period | 10/12/6 → 10/12/10 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
A feedback update control scheme for limited feedback multiple antennas systems. / Kim, Taejoon; Love, David J.; Clercks, Bruno.
2010 IEEE Global Telecommunications Conference, GLOBECOM 2010. 2010. 5683626.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A feedback update control scheme for limited feedback multiple antennas systems
AU - Kim, Taejoon
AU - Love, David J.
AU - Clercks, Bruno
PY - 2010
Y1 - 2010
N2 - Allowing the receiver in a multiple antenna wireless system to send a limited amount of channel state information (CSI) feedback is an effective way to enable channel adaptive signaling. This paper addresses the problem of controlling the feedback update period and feedback rate of limited feedback multiple antennas systems in temporally correlated channels. The challenge in our problem is how to assign the feedback update period and feedback rate subject to a constraint on feedback overhead. The presented approach analyzes the required CSI feedback rate and feedback update period by maximizing a lower bound on the average normalized effective signal-to-noise ratio. By imposing the channel evolution structure and employing a random quantization argument, we are able to determine a closed-form solution. This result leads to a bound on the feedback rate that characterizes when the proposed feedback update control scheme outperforms the conventional feedback scheme. Both analytical and numerical results demonstrate that the proposed feedback control strategy improves the average effective SNR with a relatively small amount of feedback overhead.
AB - Allowing the receiver in a multiple antenna wireless system to send a limited amount of channel state information (CSI) feedback is an effective way to enable channel adaptive signaling. This paper addresses the problem of controlling the feedback update period and feedback rate of limited feedback multiple antennas systems in temporally correlated channels. The challenge in our problem is how to assign the feedback update period and feedback rate subject to a constraint on feedback overhead. The presented approach analyzes the required CSI feedback rate and feedback update period by maximizing a lower bound on the average normalized effective signal-to-noise ratio. By imposing the channel evolution structure and employing a random quantization argument, we are able to determine a closed-form solution. This result leads to a bound on the feedback rate that characterizes when the proposed feedback update control scheme outperforms the conventional feedback scheme. Both analytical and numerical results demonstrate that the proposed feedback control strategy improves the average effective SNR with a relatively small amount of feedback overhead.
UR - http://www.scopus.com/inward/record.url?scp=79551641421&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79551641421&partnerID=8YFLogxK
U2 - 10.1109/GLOCOM.2010.5683626
DO - 10.1109/GLOCOM.2010.5683626
M3 - Conference contribution
AN - SCOPUS:79551641421
SN - 9781424456383
BT - 2010 IEEE Global Telecommunications Conference, GLOBECOM 2010
ER -