Name
Abstract | ||
|---|---|---|
The increasing traffic demands bring heavy load to both the data and control planes of cellular networks, along with substantial energy consumption. To solve the issue, new network architecture that separates signaling and data has been proposed in literature for future green cellular networks. In this paper, we analyze the data and signaling resource configuration problem in this new network architecture. We find the optimal resource partitioning parameters to optimize the blocking performance and to minimize the overall network power consumption with a blocking probability constraint. More specifically, we adopt traffic-aware resource allocation between the data and signaling base stations (BSs) to improve network access capability while reducing the overall network power consumption. Two types of resource partitioning patterns, complete partitioning and partial partitioning, are studied. Numerical results show that great energy-saving gain can be achieved compared with the traditional fixed and traffic-proportional resource partitioning patterns. Moreover, power consumption and blocking performance tradeoffs are explored, based on which the appropriate resource partitioning pattern can be chosen according to different quality of service (QoS) requirements. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICC.2014.6883863 | ICC |
Keywords | Field | DocType |
traffic-aware resource allocation,complete partitioning,cellular radio,quality of service,energy-saving gain,telecommunication power management,optimal resource partitioning parameters,substantial energy consumption,blocking performance optimization,signaling resource configuration problem,control plane,qos requirement,signaling bs,data base station,data resource configuration problem,telecommunication network management,resource partitioning pattern,traffic-aware data resource management,green cellular networks,telecommunication traffic,blocking probability constraint,overall network power consumption minimization,network architecture,network access capability improvement,traffic-aware signaling resource management,partial partitioning,probability,communication systems | Resource management,Base station,Computer science,Network architecture,Computer network,Quality of service,Real-time computing,Resource allocation,Cellular network,Energy consumption,Access network,Distributed computing | Conference |
ISSN | Citations | PageRank |
1550-3607 | 4 | 0.49 |
References | Authors | |
7 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wu Jian | 1 | 23 | 2.93 |
| Sheng Zhou | 2 | 1627 | 129.20 |
| Zhisheng Niu | 3 | 2561 | 200.04 |
| Chunguang Liu | 4 | 4 | 0.49 |
| Peng Yang | 5 | 31 | 2.01 |
| Guowang Miao | 6 | 965 | 65.50 |