DocumentCode :
3034907
Title :
D2D communication underlay uplink cellular network with fractional frequency reuse
Author :
Zekun Zhang ; Hu, Rose Qingyang ; Yi Qian ; Papathanassiou, Apostolos ; Geng Wu
Author_Institution :
Dept. of Electr. & Comput. Eng., Utah State Univ., Logan, UT, USA
fYear :
2015
fDate :
24-27 March 2015
Firstpage :
247
Lastpage :
250
Abstract :
Embedding device-to-device (D2D) communication into a cellular network can benefit the entire system by efficiently reusing cellular licensed frequency resources[2][3]. However, the interference between D2D user equipments (DUEs) and cellular user equipments (CUEs) must be properly handled to realize the expected gain. Fractional frequency reuse (FFR) is a promising technique to mitigate the interference between DUEs and CUEs and hence improve the performance as well as reliability of the entire system [4]. In this paper, the coverage performance of both CUEs and DUEs are analyzed in an FFR based D2D underlay uplink cellular network. We model the spacial distribution of DUEs as a homogeneous Poisson Point Process (PPP), which can facilitate tractable mathematical coverage analysis. Theoretical analysis is validated by numerical results.
Keywords :
cellular radio; frequency allocation; numerical analysis; radiofrequency interference; stochastic processes; telecommunication network reliability; CUE; D2D communication underlay uplink cellular network; D2D user equipments; DUE; FFR; PPP; cellular licensed frequency resource reuse; cellular user equipments; device-to-device communication; fractional frequency reuse; homogeneous Poisson point process; interference mitigation; performance improvement; reliability improvement; tractable mathematical coverage analysis; Analytical models; Approximation methods; Interference; Numerical models; Reliability engineering; Uplink; Device to Device; Poisson Point Process (PPP); cellular network; coverage; interference; underlay; uplink;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design of Reliable Communication Networks (DRCN), 2015 11th International Conference on the
Conference_Location :
Kansas City, MO
Type :
conf
DOI :
10.1109/DRCN.2015.7149020
Filename :
7149020
Link To Document :
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