Small Cell Deployment and Smart Cooperation Scheme in Dual-Layer Wireless Networks | Zendy

Wei Su | Zendy; Liu Qi | Zendy; Li Yiqun | Zendy; Meng Bi | Zendy; Guoli Chen | Zendy; Hongke Zhang | Zendy

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Small Cell Deployment and Smart Cooperation Scheme in Dual-Layer Wireless Networks

Author(s) -

Wei Su,

Liu Qi,

Li Yiqun,

Meng Bi,

Guoli Chen,

Hongke Zhang

Publication year - 2014

Publication title -

international journal of distributed sensor networks

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.324

H-Index - 53

eISSN - 1550-1477

pISSN - 1550-1329

DOI - 10.1155/2014/929805

Subject(s) - computer science , computer network , throughput , software deployment , signal to interference plus noise ratio , energy consumption , wireless network , wireless , physical layer , cellular network , dual (grammatical number) , interference (communication) , efficient energy use , distributed computing , telecommunications , art , power (physics) , physics , channel (broadcasting) , literature , quantum mechanics , electrical engineering , engineering , operating system , ecology , biology

Traditional mobile networks will become dual-layer wireless networks due to small cells’ deployment. The advantages of dual-layer networks are improving network capacity and overcoming the problem of unbalanced traffic distribution in time-space domain. In this paper, performance of small cells deployment is evaluated in simulations. It is shown that users’ traffic is offloaded by small cells obviously. At the same time, performances of signal to interference plus noise ratio (SINR) and throughput are also improved. However, low SINR (SINR<10 dB) users are also increased because of interferences between macro cells and small cells. Furthermore, a new cooperation scheme is proposed for energy saving in dual-layer networks. This scheme is implemented through a functional modular, named by Area Control Center (ACC). Finally, simulations are given to verify the efficiency of this energy saving scheme. The numerical results show that energy consumption could be reduced by 20%.

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