Power control for D2D underlay cellular networks with imperfect CSI

Citation data:

2016 IEEE Globecom Workshops, GC Wkshps 2016 - Proceedings, Page: 1-6

Publication Year:
2016
Captures 21
Readers 21
Citations 4
Citation Indexes 4
Repository URL:
http://hdl.handle.net/10754/623182
DOI:
10.1109/glocomw.2016.7849006
Author(s):
Memmi, Amen; Rezki, Zouheir; Alouini, Mohamed-Slim
Publisher(s):
Institute of Electrical and Electronics Engineers (IEEE)
Tags:
Social Sciences; Computer Science; Engineering; cellular radio; centralised control; distributed control; interference suppression; mobility management (mobile radio); power control; telecommunication congestion control; Cellular networks; Device-to-device communication; Estimation error; Interference; Power control; Receivers; Signal to noise ratio
conference paper description
Device-to-Device communications underlying the cellular infrastructure is a technology that has recently been proposed as a promising solution to enhance cellular network capabilities. However, interference is the major challenge since the same resources are shared by both systems. Therefore, interference management techniques are required to keep the interference under control. In this work, in order to mitigate interference, we consider centralized and distributed power control algorithms in a one-cell random network model. Differently from previous works, we are assuming that the channel state information may be imperfect and include estimation errors. We evaluate how this uncertainty impacts performances. In the centralized approach, we derive the optimal powers that maximize the coverage probability and the rate of the cellular user while scheduling as many D2D links as possible. These powers are computed at the base station (BS) and then delivered to the users, and hence the name "centralized". For the distributed method, the on-off power control and the truncated channel inversion are proposed. Expressions of coverage probabilities are established in function of D2D links intensity, pathloss exponent and estimation error variance.