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http://dx.doi.org/10.3837/tiis.2016.08.006

Spectrum Allocation and Service Control for Energy Saving Based on Large-Scale User Behavior Constraints in Heterogeneous Networks  

Yang, Kun (Wireless Signal Processing & Networks Lab (WSPN) Beijing University of Posts and Telecommunications (BUPT))
Zhang, Xing (Wireless Signal Processing & Networks Lab (WSPN) Beijing University of Posts and Telecommunications (BUPT))
Wang, Shuo (Wireless Signal Processing & Networks Lab (WSPN) Beijing University of Posts and Telecommunications (BUPT))
Wang, Lin (Wireless Signal Processing & Networks Lab (WSPN) Beijing University of Posts and Telecommunications (BUPT))
Wang, Wenbo (Wireless Signal Processing & Networks Lab (WSPN) Beijing University of Posts and Telecommunications (BUPT))
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.10, no.8, 2016 , pp. 3529-3550 More about this Journal
Abstract
In heterogeneous networks (HetNets), energy saving is vital for a sustainable network development. Many techniques, such as spectrum allocation, network planning, etc., are used to improve the network energy efficiency (EE). In this paper, micro BSs utilizing cell range expansion (CRE) and spectrum allocation are considered in multi-channel heterogeneous networks to improve EE. Hotspot region is assumed to be covered by micro BSs which can ensure that the hotspot capacity is greater than the average demand of hotspot users. The expressions of network energy efficiency are derived under shared, orthogonal and hybrid subchannel allocation schemes, respectively. Particle swarm optimization (PSO) algorithm is used to solve the optimal ratio of subchannel allocation in orthogonal and hybrid schemes. Based on the results of the optimal analysis, we propose three service control strategies on the basis of large-scale user behaviors, i.e., adjust micro cell rang expansion (AmCRE), adjust micro BSs density (AmBD) and adjust micro BSs transmit power (AmBTP). Both theoretical and simulation results show that using shared subchannel allocation scheme in AmBD strategies can obtain maximal EE with a very small area ratio. Using orthogonal subchannel allocation scheme in AmCRE strategies can obtain maximal EE when area ratio is larger. Using hybrid subchannel allocation scheme in AmCRE strategies can obtain maximal EE when area ratio is large enough. No matter which service control strategy is used, orthogonal spectrum scheme can obtain the maximal hotspot user rates.
Keywords
Heterogeneous Networks; Spectrum allocation; Service control; User behavior;
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