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We consider a novel method to improve the down-link data rate of cell-edge users in a cellular system, which is particularly well-suited for Heterogeneous Networks (HetNets). The receivers are assumed to be able to cancel interference by simultaneously processing at most two codewords. Receivers may be served by either the closest cell or a neighboring cell; in the latter case, the receiver cancels...
Currently mobile network operators are allocated spectrum bands on an exclusive basis. While this approach facilitates interference control, it may also result in low spectrum utilization efficiency. Inter-operator spectrum sharing is a potential method to enhance spectrum utilization. In order to realize it, a protocol to coordinate the actions of operators is needed. In this paper, we propose a...
As an alternative to downloading content from a cellular access network, mobile devices could be used to store data files and distribute them through device-to-device (D2D) communication. We consider a D2D-based storage community that is comprised of mobile users. Assuming that transmitting data from a base station to a mobile user consumes more energy than transmitting data between two mobile users,...
We study a distributed approach for Primary Component Carrier (PCC) selection to manage interference and to improve cell edge performance in a heterogeneous network. To avoid cell outage caused by PCC selection based on path loss between neighboring base stations (BSs), we argue that carrier reselection based on handover measurements performed by the User Equipments (UEs) is necessary. We propose...
In this paper we consider the CQI reporting problem in MIMO downlink with adaptive switching between single user and multiuser mode and finite rate feedback. The feedback consist of channel directional information, which is the precoding weight, and channel quality information, which is a quantized value of estimated post processing SINR. The quantization of the channel directional information causes...
Spectrum sensing is a key component in cognitive radio networks. Recently there has been intense research interest in eigenvalue based sensing. The results presented so far rely on the distributions of infinite dimensional covariance matrices, therefore these analyses are not accurate for a small sample size. In this paper, we propose a new spectrum sensing method based on the distribution of the...
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