Abstract
Recently, the 3rd Generation Partnership Project (3GPP) proposes to extend the Long Term Evolution Advanced (LTE-A) to the unlicensed spectrum, named Long Term Evolution Unlicensed (LTE-U), which enables LTE to operate in both the licensed band and the unlicensed band. In this paper, we consider how to make LTE-U get even higher throughput in the high traffic unlicensed band. In order to achieve this target, there is a big challenge to make LTE-U a good neighbor to the existing wireless communication technologies in the unlicensed band, such as WIFI system in the 5 GHz band. In our research, we assume two carriers aggregated, one is from licensed band, and the other is from unlicensed. We also define two kinds of frequency resources in the unlicensed band. One is the normal frequency resource that has not been utilized by the WIFI systems, and the other is the special frequency resource that has been utilized by the WIFI systems already. We propose a novel hybrid resource allocation algorithm by combining two different frequency sharing schemes (Underlay and Interweave) and apply different resource allocation algorithm to achieve higher throughput for all kinds of user equipment (UE) from LTE-U when the WIFI system’s traffic is heavy. We also consider the fairness for all UEs from LTE-U system and guarantee that the interference to the WIFI UEs (WUEs) is acceptable.
| Original language | English |
|---|---|
| Title of host publication | Mobile and Wireless Technologies 2017 - ICMWT 2017 |
| Publisher | Springer Verlag |
| Pages | 114-128 |
| Number of pages | 15 |
| Volume | 425 |
| ISBN (Print) | 9789811052804 |
| DOIs | |
| Publication status | Published - 2018 |
| Event | 4th iCatse Conference on Mobile and Wireless Technology, ICMWT 2017 - Kuala Lumpur, Malaysia Duration: 2017 Jun 26 → 2017 Jun 29 |
Publication series
| Name | Lecture Notes in Electrical Engineering |
|---|---|
| Volume | 425 |
| ISSN (Print) | 1876-1100 |
| ISSN (Electronic) | 1876-1119 |
Other
| Other | 4th iCatse Conference on Mobile and Wireless Technology, ICMWT 2017 |
|---|---|
| Country | Malaysia |
| City | Kuala Lumpur |
| Period | 17/6/26 → 17/6/29 |
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Keywords
- Carrier aggregation
- Cognitive radio
- Fairness
- Hybrid
- LTE-U
- Resource allocation
- Unlicensed band
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering
Cite this
Fairness-aware hybrid resource allocation with cross-carrier scheduling for LTE-U system. / Dong, Yupu; Pan, Zhenni; Kang, Kang; Liu, Jiang; Shimamoto, Shigeru; Wicaksono, Ragil Putro; Kunishige, Seiji; Chang, Kwangrok.
Mobile and Wireless Technologies 2017 - ICMWT 2017. Vol. 425 Springer Verlag, 2018. p. 114-128 (Lecture Notes in Electrical Engineering; Vol. 425).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Fairness-aware hybrid resource allocation with cross-carrier scheduling for LTE-U system
AU - Dong, Yupu
AU - Pan, Zhenni
AU - Kang, Kang
AU - Liu, Jiang
AU - Shimamoto, Shigeru
AU - Wicaksono, Ragil Putro
AU - Kunishige, Seiji
AU - Chang, Kwangrok
PY - 2018
Y1 - 2018
N2 - Recently, the 3rd Generation Partnership Project (3GPP) proposes to extend the Long Term Evolution Advanced (LTE-A) to the unlicensed spectrum, named Long Term Evolution Unlicensed (LTE-U), which enables LTE to operate in both the licensed band and the unlicensed band. In this paper, we consider how to make LTE-U get even higher throughput in the high traffic unlicensed band. In order to achieve this target, there is a big challenge to make LTE-U a good neighbor to the existing wireless communication technologies in the unlicensed band, such as WIFI system in the 5 GHz band. In our research, we assume two carriers aggregated, one is from licensed band, and the other is from unlicensed. We also define two kinds of frequency resources in the unlicensed band. One is the normal frequency resource that has not been utilized by the WIFI systems, and the other is the special frequency resource that has been utilized by the WIFI systems already. We propose a novel hybrid resource allocation algorithm by combining two different frequency sharing schemes (Underlay and Interweave) and apply different resource allocation algorithm to achieve higher throughput for all kinds of user equipment (UE) from LTE-U when the WIFI system’s traffic is heavy. We also consider the fairness for all UEs from LTE-U system and guarantee that the interference to the WIFI UEs (WUEs) is acceptable.
AB - Recently, the 3rd Generation Partnership Project (3GPP) proposes to extend the Long Term Evolution Advanced (LTE-A) to the unlicensed spectrum, named Long Term Evolution Unlicensed (LTE-U), which enables LTE to operate in both the licensed band and the unlicensed band. In this paper, we consider how to make LTE-U get even higher throughput in the high traffic unlicensed band. In order to achieve this target, there is a big challenge to make LTE-U a good neighbor to the existing wireless communication technologies in the unlicensed band, such as WIFI system in the 5 GHz band. In our research, we assume two carriers aggregated, one is from licensed band, and the other is from unlicensed. We also define two kinds of frequency resources in the unlicensed band. One is the normal frequency resource that has not been utilized by the WIFI systems, and the other is the special frequency resource that has been utilized by the WIFI systems already. We propose a novel hybrid resource allocation algorithm by combining two different frequency sharing schemes (Underlay and Interweave) and apply different resource allocation algorithm to achieve higher throughput for all kinds of user equipment (UE) from LTE-U when the WIFI system’s traffic is heavy. We also consider the fairness for all UEs from LTE-U system and guarantee that the interference to the WIFI UEs (WUEs) is acceptable.
KW - Carrier aggregation
KW - Cognitive radio
KW - Fairness
KW - Hybrid
KW - LTE-U
KW - Resource allocation
KW - Unlicensed band
UR - http://www.scopus.com/inward/record.url?scp=85022179041&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85022179041&partnerID=8YFLogxK
U2 - 10.1007/978-981-10-5281-1_13
DO - 10.1007/978-981-10-5281-1_13
M3 - Conference contribution
SN - 9789811052804
VL - 425
T3 - Lecture Notes in Electrical Engineering
SP - 114
EP - 128
BT - Mobile and Wireless Technologies 2017 - ICMWT 2017
PB - Springer Verlag
ER -