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 :
بازگشت