DocumentCode
2155317
Title
A new cell association scheme in heterogeneous networks
Author
Yang, Bin ; Mao, Guoqiang ; Ge, Xiaohu ; Han, Tao
Author_Institution
School of Electronic Information & Communications, Huazhong University of Science & Technology, Wuhan, China
fYear
2015
fDate
8-12 June 2015
Firstpage
5627
Lastpage
5632
Abstract
Cell association scheme determines which base station (BS) and mobile user (MU) should be associated with and also plays a significant role in determining the average data rate a MU can achieve in heterogeneous networks. However, the explosion of digital devices and the scarcity of spectra collectively force us to carefully re-design cell association scheme which was kind of taken for granted before. To address this, we develop a new cell association scheme in heterogeneous networks based on joint consideration of the signal-to-interference-plus-noise ratio (SINR) which a MU experiences and the traffic load of candidate BSs1. MUs and BSs in each tier are modeled as several independent Poisson point processes (PPPs) and all channels experience independently and identically distributed (i.i.d.) Rayleigh fading. Data rate ratio and traffic load ratio distributions are derived to obtain the tier association probability and the average ergodic MU data rate. Through numerical results, We find that our proposed cell association scheme outperforms cell range expansion (CRE) association scheme. Moreover, results indicate that allocating small sized and high-density BSs will improve spectral efficiency if using our proposed cell association scheme in heterogeneous networks.
Keywords
Computer architecture; Downlink; Interference; Microprocessors; Resource management; Signal to noise ratio; Heterogeneous networks; Poisson point processes; cell association scheme; traffic load;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (ICC), 2015 IEEE International Conference on
Conference_Location
London, United Kingdom
Type
conf
DOI
10.1109/ICC.2015.7249219
Filename
7249219
Link To Document