Title
Hybrid bandwidth allocation for energy saving based on large-scale user behavior in heterogeneous networks
Abstract
One of the main purpose for heterogeneous networks (HetNet) is to reduce the power consumption for various spectrum allocation schemes. Large-scale user behavior in a two-tier HetNet is considered for the energy-efficient spectrum allocation, which characterizes the macro BSs that guarantee traffic requirements in non-hotspot regions and micro BSs that guarantee traffic requirements in hotspot regions. Two hybrid bandwidth allocation schemes are presented for the shared/orthogonal frequency band and the high/low frequency band, where the large-scale user behavior is taken into account. We present closed-form formulas of bandwidth allocation schemes which establish the quantitative relationship between the large-scale user behavior and bandwidth allocation strategy. Both theoretical and simulation results show that the proposed schemes are effective in guaranteeing both the demands of the large-scale user behavior and keeping low power consumption.
Year
DOI
Venue
2014
10.1109/CHINACOM.2014.7054325
ChinaCom
Keywords
Field
DocType
bandwidth allocation,energy conservation,radio networks,radio spectrum management,telecommunication power management,telecommunication traffic,closed-form formula,energy saving,energy-efficient spectrum allocation scheme,heterogeneous wireless network,hybrid bandwidth allocation,large-scale user behavior,macro bs,orthogonal frequency band,power consumption reduction,shared frequency band,two-tier hetnet,heterogeneous network (hetnet),user behavior,bandwidth,resource management,interference,channel allocation,throughput
Frequency band,Bandwidth allocation,Computer science,Computer network,Real-time computing,Bandwidth (signal processing),Dynamic bandwidth allocation,Throughput,Heterogeneous network,Frequency allocation,Channel allocation schemes
Conference
Citations 
PageRank 
References 
0
0.34
11
Authors
6
Name
Order
Citations
PageRank
Huang, Yu154.54
Xing Zhang260341.16
Wang Wenbo31200130.70
Chih-Lin I42167211.25
Chih-Lin I52167211.25
Yami Chen6495.22