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Author:

Yang, Kun (Yang, Kun.) | Zhang, Xing (Zhang, Xing.) | Wang, Shuo (Wang, Shuo.) | Wang, Lin (Wang, Lin.) | Wang, Wenbo (Wang, Wenbo.)

Indexed by:

EI Scopus SCIE

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.

Keyword:

Spectrum allocation Service control Heterogeneous Networks User behavior

Author Community:

  • [ 1 ] [Yang, Kun]Beijing Univ Posts & Telecommun, Wireless Signal Proc & Networks Lab WSPN, Beijing 100876, Peoples R China
  • [ 2 ] [Zhang, Xing]Beijing Univ Posts & Telecommun, Wireless Signal Proc & Networks Lab WSPN, Beijing 100876, Peoples R China
  • [ 3 ] [Wang, Shuo]Beijing Univ Posts & Telecommun, Wireless Signal Proc & Networks Lab WSPN, Beijing 100876, Peoples R China
  • [ 4 ] [Wang, Lin]Beijing Univ Posts & Telecommun, Wireless Signal Proc & Networks Lab WSPN, Beijing 100876, Peoples R China
  • [ 5 ] [Wang, Wenbo]Beijing Univ Posts & Telecommun, Wireless Signal Proc & Networks Lab WSPN, Beijing 100876, Peoples R China
  • [ 6 ] [Zhang, Xing]Beijing Univ Technol BJUT, Beijing Adv Innovat Ctr Future Internet Technol, Beijing, Peoples R China

Reprint Author's Address:

  • [Zhang, Xing]Beijing Univ Posts & Telecommun, Wireless Signal Proc & Networks Lab WSPN, Beijing 100876, Peoples R China

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Source :

KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS

ISSN: 1976-7277

Year: 2016

Issue: 8

Volume: 10

Page: 3529-3550

1 . 5 0 0

JCR@2022

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:167

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

Affiliated Colleges:

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