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In this paper, interference alignment (IA) in 3-tier heterogeneous networks (HetNets) is addressed. The rank constrained rank minimization (RCRM) approach is modified to deal with the nature of tiers with different quality-of-service (QoS) requirements. In the proposed approach, which we name weighted RCRM (WRCRM), different tiers are treated with different weighting factors to reflect their tolerance...
The deployment of femtocells in current and future communication systems promises an effective solution for limited indoor coverage problem and a possible gateway for mobile data offloading. In this paper, we cast a cognitive interference alignment approach (IA) suitable for heterogeneous cellular networks with a mixed macrocell and femtocell deployment Specifically, in our approach a restricted waterfilling...
This paper investigates the interference alignment (IA) solution for a K-user static flat-fading multiple input multiple output (MIMO) interference channel. Optimal users' precoders and postcoders are designed through a rank constraint rank minimization (RCRM) framework with IA conditions inserted within the constraints and the cost function of a complex matrix optimization problem. With RCRM formulation,...
Cognitive radio (CR) permits multiple unlicensed users, secondary users, to share the same channels with the licensed users, primary users, without affecting the latter performance. The main challenge resides in the design of the secondary users' transceivers (precoding, postcoding, and power allocation) such that both the primary and secondary receivers enjoy satisfactory quality of service (QoS)...
New interference alignment (IA) design for secondary users' transceivers in multi-secondary users cognitive radio system is presented. The proposed scheme allows opportunistic transmitters (secondary users) equipped with multiple antennas (MIMO) to use the same frequency band already occupied by the pre-existing primary user. This can be done by aligning and cancelling the interference on the primary...
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