抄録
The ongoing 5G cellular networks are expected to meet the demands posed by the energy and radio resource crises, especially exploiting flexible management for the traffic in idle zone. In this paper, two energy optimizing solutions are proposed for macro-tier with the tradeoff consideration regarding spectrum efficiency and quality of service (QoS), which adapt to the instantaneous traffic variance based upon dynamic cell configuration. To characterize the optimal energy savings for base stations (BSs), an active cell rotation (ACR) scheme is cyclic activated to control the number of active BSs by appropriately scheduling different work patterns in the cell group, and hence, guarantee QoS requirement of the user equipment by a recovery mechanism. An improved cooperative ACR scheme is also proposed, which enables BSs to achieve better spectrum utilization while pursuing energy efficiency in terms of traffic load. In addition, closed-form stationary results as well as asymptotic analysis are also derived for formulating the traffic variance and state transitions by a Markov-based framework. The numerical performances indicate that the proposed methodologies can have positive effects on addressing greenness in both energy and spectrum domains while meeting the upcoming intense traffic and QoS requirements.
| 元の言語 | English |
|---|---|
| ページ（範囲） | 418-431 |
| ページ数 | 14 |
| ジャーナル | IEEE Transactions on Green Communications and Networking |
| 巻 | 2 |
| 発行部数 | 2 |
| DOI | |
| 出版物ステータス | Published - 2018 6 1 |
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ASJC Scopus subject areas
- Computer Networks and Communications
- Renewable Energy, Sustainability and the Environment
これを引用
Traffic-Aware Energy Optimizing Strategies for Multi-Cell Coordinated Green Cellular Networks. / Pan, Zhenni; Liu, Jiang; Shimamoto, Shigeru.
：: IEEE Transactions on Green Communications and Networking, 巻 2, 番号 2, 01.06.2018, p. 418-431.研究成果: Article
}
TY - JOUR
T1 - Traffic-Aware Energy Optimizing Strategies for Multi-Cell Coordinated Green Cellular Networks
AU - Pan, Zhenni
AU - Liu, Jiang
AU - Shimamoto, Shigeru
PY - 2018/6/1
Y1 - 2018/6/1
N2 - The ongoing 5G cellular networks are expected to meet the demands posed by the energy and radio resource crises, especially exploiting flexible management for the traffic in idle zone. In this paper, two energy optimizing solutions are proposed for macro-tier with the tradeoff consideration regarding spectrum efficiency and quality of service (QoS), which adapt to the instantaneous traffic variance based upon dynamic cell configuration. To characterize the optimal energy savings for base stations (BSs), an active cell rotation (ACR) scheme is cyclic activated to control the number of active BSs by appropriately scheduling different work patterns in the cell group, and hence, guarantee QoS requirement of the user equipment by a recovery mechanism. An improved cooperative ACR scheme is also proposed, which enables BSs to achieve better spectrum utilization while pursuing energy efficiency in terms of traffic load. In addition, closed-form stationary results as well as asymptotic analysis are also derived for formulating the traffic variance and state transitions by a Markov-based framework. The numerical performances indicate that the proposed methodologies can have positive effects on addressing greenness in both energy and spectrum domains while meeting the upcoming intense traffic and QoS requirements.
AB - The ongoing 5G cellular networks are expected to meet the demands posed by the energy and radio resource crises, especially exploiting flexible management for the traffic in idle zone. In this paper, two energy optimizing solutions are proposed for macro-tier with the tradeoff consideration regarding spectrum efficiency and quality of service (QoS), which adapt to the instantaneous traffic variance based upon dynamic cell configuration. To characterize the optimal energy savings for base stations (BSs), an active cell rotation (ACR) scheme is cyclic activated to control the number of active BSs by appropriately scheduling different work patterns in the cell group, and hence, guarantee QoS requirement of the user equipment by a recovery mechanism. An improved cooperative ACR scheme is also proposed, which enables BSs to achieve better spectrum utilization while pursuing energy efficiency in terms of traffic load. In addition, closed-form stationary results as well as asymptotic analysis are also derived for formulating the traffic variance and state transitions by a Markov-based framework. The numerical performances indicate that the proposed methodologies can have positive effects on addressing greenness in both energy and spectrum domains while meeting the upcoming intense traffic and QoS requirements.
KW - Dynamic cell configuration
KW - energy optimization
KW - instantaneous traffic
KW - QoS
KW - spectrum efficiency
UR - http://www.scopus.com/inward/record.url?scp=85067529274&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85067529274&partnerID=8YFLogxK
U2 - 10.1109/TGCN.2018.2807795
DO - 10.1109/TGCN.2018.2807795
M3 - Article
AN - SCOPUS:85067529274
VL - 2
SP - 418
EP - 431
JO - IEEE Transactions on Green Communications and Networking
JF - IEEE Transactions on Green Communications and Networking
SN - 2473-2400
IS - 2
ER -