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Customers' privacy and messages integrity are the main security challenges for home area networks (HANs) in the smart grid, especially during the electricity consumption aggregation. In addition, smart meters and smart appliances, which are the limited-resources home devices, cannot implement complex computation operations. In this paper, we propose a lightweight privacy-preserving aggregation scheme...
A low-complexity maximum likelihood (ML) transceiver scheme is investigated for multiple-input multiple-output (MIMO) systems without any constraint on both the number of data streams to be transmitted and the modulation order for quadrature amplitude modulation (QAM). The max-dmin precoding problem is first reconsidered in the presence of rank constraint on the so-called precoder generating matrix...
Multiple Input Multiple Output (MIMO) system is considered as an unalterable technology in wireless communication for its advantages in the spectral efficiency. Among the detection algorithms, maximum likelihood (ML) detection can achieve the best bit error rate performance, but the computational complexity of ML detection is too huge to be acceptable. In order to solve this problem, numbers of algorithms...
Bayesian NMF (BNMF) algorithm joints nonnegative matrix factorization (NMF) with a statistical framework, and performs well in speech enhancement. However, the dependencies of atoms in speech frame are not considered in the method. In order to exploit the dependencies of the speech and noise signals, we introduce multivariate Laplace distribution for the basis Wand NMF coefficients matrix H. In this...
L-values have been widely adopted due to their outstanding features in many scenarios of digital communication systems, for instance, in channel decoders or in cooperative relays, where in the latter L-values could be exchanged between physically separated relays. However, an L-value is a real number, and for this reason, it must be quantized before being processed in any finite state machine. This...
In this paper we propose an algorithm to optimize the network-level delay based on flow-level model, denoted as flow-level delay, in fractional frequency reuse (FFR) cellular networks. The flow-level model can capture the impact of the dynamic traffic in the network by considering the arrival and departure of the traffic flows in all cells. In addition to this temporal distribution, the spatial distribution...
In this paper, we propose a cross-layer design model for multiple input and multiple output (MIMO) cellular systems, to solve the problem of energy efficient communications with delay demand. We first investigate the energy efficient multiple quadrature amplitude modulation (MQAM) constellation size for each transmission stream. With the demand of the packet delay, then we propose an adaptive MIMO/SIMO...
In this paper, we study the secrecy rate maximization problem with the group-sparse penalty in the form of a mixed £f/£i regularization to design beamformers in Amplify-and-Forward (AF) relay networks. Resorting to such group-sparse penalty, we can efficiently choose a small size of relays to join in the secure transmission and reduce the cooperation overhead. In our work, the proximal gradient algorithm...
This paper addresses a proportional fair resource allocation algorithm for video transmission in OFDMA relay system. In the algorithm, the trade off between efficiency and fairness in quality of users' received video is made by maximizing summation of users' logarithmic accumulation of subcarriers' contribution for video transmission. And we construct proportional fair utility function by setting...
In this paper, a low complexity algorithm is proposed to improve energy efficiency in LTE networks. Energy efficiency optimization issue is formulated as NP-hard problem which requires high computational cost due to optimal exhaustive search (ES). Then a low complexity energy efficiency optimization algorithm (LCEEO) based on optimal switching-off eNB selection is proposed. With LCEEO, eNBs will be...
A physical-layer security enhancement scheme in analog network coding systems based on artificial noise is proposed in this paper. In broadcast phase, the Relay node selects part of antennas from its total antennas as the received reference signal, and derives the beamforming matrix and artificial noise vector from the equivalent channel fading matrix. The simulation results show that the proposed...
One fundamental issue in supporting multi-cell ultrahigh throughput wireless local area networks (WLAN) is how to coordinate inter-cell interference. In this paper, we present a novel max-min fair resource allocation scheme to increase system capacity and improve the communication quality of cell-edge users. We assume the users within one cell operate on orthogonal frequency channels, while users...
In this paper, the outage probability of the uplink is analyzed for a land mobile satellite (LMS) cooperative system, which consists of a satellite (the destination), a mobile terminal (the source) and a relay node on the ground. It is assumed that the source-satellite (S-D) link and the relay-satellite (R-D) link experience independent shadowed Rician fading, and the source-relay (S-R) link experiences...
Baseband processing resource allocation is an important aspect in the radio access network (RAN) based on the baseband pool structure. Minimizing the usage amount of baseband units (BBU) in the baseband pool has been proposed as a performance objective. We prove this problem is a NP-hard problem and present an Improved Spanning Tree (IST) algorithm to solve it. In our algorithm, a variable K is used...
In Wireless Sensor networks clustering algorithm is an effective technology to save sensor nodes energy and extend network lifetime, but most of these algorithms are often designed for homogeneous sensor networks, which is not realistic and practical. In this paper, we propose an improved clustering protocol BEEC (Balanced and Energy-Efficient Clustering algorithm) for heterogeneous wireless sensor...
We consider a wireless network where target nodes aim to locate themselves. A cooperative localization algorithm can provide high accuracy by exchanging location information between nodes. In this paper, a novel distributed cooperative localization algorithm based on factor graph and variational message passing (VMP) is proposed. Compared with other message passing method, VMP algorithm features lower...
This paper analyzes the selection of underlay (reuse mode) or overlay (dedicated mode) for device-to-device (D2D) communication in a multi-cell scenario with shared relays. Two reuse cases that D2D communication reuses the same uplink resources or downlink resources as for cellular communication are considered. The study focuses on the location changes of cellular user, the distance changes of D2D...
In this paper, we study a resource allocation scheme for downlink orthogonal frequency division multiplexing (OFDM) cognitive radio networks (CRNs) in which the cognitive base station (BS) is equipped with multiple antennas. The multiple description coding multicast (MDCM) model and beamforming technique are employed to maximize the total received rate of all cognitive radio (CR) users with the constraint...
In this paper, blind signal separation algorithms based on Gaussian mixture model of complex-valued sources are introduced. Compared with the traditional algorithms for complex-valued signals, they have two advantages: first, since they are adaptive, the changes in the environment can be tracked; second, the probability density function matching mechanism is applied to the algorithms through a Gaussian...
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