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Due to the openness of the physical layer, the physical layer security has been widely discussed. It is considered as an effective way to improve the secrecy rate that we add artificial noise to D2D communications underlaying cellular networks. Compared to previous studies, in this paper we not only think of the situation where artificial noise is added to the original communication signal between...
Orthogonal frequency division multiplexing access (OFDMA) inherently suffers from large spectral sidelobes, which will lead to interference between users and can not be ignored. In this paper, in order to suppress spectral sidelobes, we propose a novel windowing scheme. The derivation of the optimum window function is based on the solution of an optimization problem. It aims to minimize in-band-out-of-subband...
In this letter, we propose a low-complexity game-theoretic approach for energy-efficient resource allocation in a two-tier heterogeneous network. We measure the energy efficiency (EE) by “Revenue per Cost” in the utility domain considering both power allocation and interference coordination. Since global optimization for maximizing the overall EE is computationally expensive, we transform this nonconvex...
In this paper, we investigate the problem of jointly designing optimum linear precoder and decoder with secrecy constraints, where two legitimate parties communicate in the presence of an eavesdropper over multiple-input multiple-output (MIMO) Gaussian channels. In particular, we focus on optimizing the linear transceiver to guarantee a certain quality of service (QoS) level for the legitimate receiver...
Because wireless networks use shared communication channels, contention and interference can significantly degrade throughput and fairness. Optimal rate control algorithms can be designed for wireless networks by modeling the contention between routers using capacity constraints and solving a convex optimization problem. In this work we develop a more accurate network model that directly incorporates...
This paper proposes a robust reduced-rank scheme and algorithms for adaptive beamforming based on joint iterative optimization (JIO) of adaptive filters. The scheme provides an efficient way to deal with filters with large number of elements. It consists of a bank of full-rank adaptive filters that forms a transformation matrix and an adaptive reduced-rank filter that operates at the output of the...
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