Abstract
The resource allocation optimization for multicast service in orthogonal frequency division multiple access (OFDMA) systems is an important research topic. It is known that in traditional multicast schemes the rate in each multicast group is severely limited by the user who has the minimum channel gain (MCG) on each subchannel. To counteract this effect, in this paper, we introduce the multiple description coding (MDC) into the multiple-group multicast service optimization for the downlink OFDMA, and study the weighted sum rate (WSR) maximization methods under various system constraints and assuming discrete-rate modulation. Simulation results show that the proposed method provides a significant performance enhancement than the MCG scheme and an MDC-based near-optimal iterative bit loading (IBL) approach. Besides this, our method converges very fast and enjoys a low complexity that is linear in the numbers of users, subchannels, and modulation bit levels.
| 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: 6 Dec 2010 → 10 Dec 2010 |
Other
| Other | 53rd IEEE Global Communications Conference, GLOBECOM 2010 |
|---|---|
| Country | United States |
| City | Miami, FL |
| Period | 6/12/10 → 10/12/10 |
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Keywords
- Lagrange duality optimization
- Multicast service
- Multiple description coding
- OFDMA
ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
Multiple description coding-based optimal resource allocation for OFDMA multicast service. / Ma, Yao; Letaief, Khaled; Wang, Zhengdao; Murch, Ross; Wu, Zhiqiang.
2010 IEEE Global Telecommunications Conference, GLOBECOM 2010. 2010. 5684356.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Multiple description coding-based optimal resource allocation for OFDMA multicast service
AU - Ma, Yao
AU - Letaief, Khaled
AU - Wang, Zhengdao
AU - Murch, Ross
AU - Wu, Zhiqiang
PY - 2010
Y1 - 2010
N2 - The resource allocation optimization for multicast service in orthogonal frequency division multiple access (OFDMA) systems is an important research topic. It is known that in traditional multicast schemes the rate in each multicast group is severely limited by the user who has the minimum channel gain (MCG) on each subchannel. To counteract this effect, in this paper, we introduce the multiple description coding (MDC) into the multiple-group multicast service optimization for the downlink OFDMA, and study the weighted sum rate (WSR) maximization methods under various system constraints and assuming discrete-rate modulation. Simulation results show that the proposed method provides a significant performance enhancement than the MCG scheme and an MDC-based near-optimal iterative bit loading (IBL) approach. Besides this, our method converges very fast and enjoys a low complexity that is linear in the numbers of users, subchannels, and modulation bit levels.
AB - The resource allocation optimization for multicast service in orthogonal frequency division multiple access (OFDMA) systems is an important research topic. It is known that in traditional multicast schemes the rate in each multicast group is severely limited by the user who has the minimum channel gain (MCG) on each subchannel. To counteract this effect, in this paper, we introduce the multiple description coding (MDC) into the multiple-group multicast service optimization for the downlink OFDMA, and study the weighted sum rate (WSR) maximization methods under various system constraints and assuming discrete-rate modulation. Simulation results show that the proposed method provides a significant performance enhancement than the MCG scheme and an MDC-based near-optimal iterative bit loading (IBL) approach. Besides this, our method converges very fast and enjoys a low complexity that is linear in the numbers of users, subchannels, and modulation bit levels.
KW - Lagrange duality optimization
KW - Multicast service
KW - Multiple description coding
KW - OFDMA
UR - http://www.scopus.com/inward/record.url?scp=79551627423&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79551627423&partnerID=8YFLogxK
U2 - 10.1109/GLOCOM.2010.5684356
DO - 10.1109/GLOCOM.2010.5684356
M3 - Conference contribution
SN - 9781424456383
BT - 2010 IEEE Global Telecommunications Conference, GLOBECOM 2010
ER -