Outer vs. Inner Region: Cellular Network Interference Analysis and Spectrum Resource Distribution in TV White Space

Long ZHANG  Zhiyong FENG  Qixun ZHANG  Lingwu YUAN  Jia LIU  

IEICE TRANSACTIONS on Communications   Vol.E98-B   No.6   pp.1095-1109
Publication Date: 2015/06/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.E98.B.1095
Type of Manuscript: PAPER
Category: Terrestrial Wireless Communication/Broadcasting Technologies
TV white space,  cognitive radio,  cellular network,  secondary system,  interference aggregation,  available resource distribution,  

Full Text: PDF>>
Buy this Article

TV white space (TVWS) brings potential opportunities to relieve the growing spectrum scarcity. Therefore organizations like the FCC have suggested the co-channel deployment of cellular networks (CNs) on condition that a keep-out distance from the protected region of TV receivers is maintained. However the consequent CN interference has not been described. In addition, considering the wide range of TV coverage, it is also inefficient and wasteful not applying the vacant spectra for secondary user (SU) communication by opportunistic access inside the TV coverage zone. In this paper, we first investigate the aggregate interference from CNs outside the protected area to find out how the interference is generated, and then research the available spectrum resource distribution for SUs inside the TV coverage zone under aggregate interference constraints to utilize TVWS more efficiently. Specifically, we model CN in three aspects. A close-form interference probability distribution function (PDF) is proposed. Since the PDF is too complex to analyze, we approximate it as Gaussian and prove the accuracy of our approximation with Kolmogorov-Smirnov test. Then, available spectra maximization is formulated as an optimization problem under both TV and SU receiver outage probability constraints. We find that available spectra demonstrate a volcano-shaped geographical distribution and optimal network-status-aware SU transmit power exists to maximize the spectra. Our analysis reveals the characteristics of interference in TVWS and contributes to the utilization improvement of white space.