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This paper proposes a novel, iterative, distributed Medium Access Control (MAC) for Multi-Transmit-Receive (MTR) Wireless Mesh Networks (WMNs). The MAC called PCP-TDMA aims to construct the shortest possible schedule that allows nodes to transmit to or receive from all their neighbors simultaneously over the same frequency. Compared to the state-of-the-art, namely a centralized algorithm called ALGO-2,...
In this paper, we consider the heterogeneous network, where a macro base station equipped with massive multiple input multiple output (MIMO) antennas provides the wireless backhaul for small cell base stations (SBSs). In this scenario, because the capacity of the small cell is limited by the wireless link with the macro base station, the unbalanced user distribution among base stations might significantly...
Dense Heterogeneous Networks (HetNets) can improve the capacity and spectrum efficiency of communication system. However, dense HetNets greatly complicate the handover decision, due to the small-coverage cells. The small-coverage cells result in high handover probability, which increases the probability of radio link failure. Moreover, it's significant to save energy of transmit power consumption...
Deploying dense small cell networks overlaying to the conventional macro cell networks is widely regarded as a key step towards network architecture revolution for improved coverage and user rate. Small cells have different kinds, and a target coverage can be achieved through deploying different kinds of small cells. Previous works mainly focus their attention on the optimization of spectrum and energy...
Introducing compressive sensing theory to solve multiple targets localization problem is a promising method by only considering received signal's power. In previous researches, the targets are assumed to be positioned into an regular mesh grid and restoration model according to compressive underdetermined equation is built to recover the positions of unknown targets. However, it is inconvenient to...
In the dual-polarized channel, the power amplifier (PA) energy efficiency is decreased by cross-polarization discrimination (XPD) effect which introduces cross power leakage and then reduces the BER performance of polarization modulation (PM). Therefore, an XPD compensation algorithm based on PM for the PA energy efficiency improvement is proposed. Firstly, the effect of energy efficiency caused by...
Collaborative reception has been proposed to improves the frequency utilization efficiency in wireless networks. This paper proposes a novel iterative noise cancelling receiver with soft-output lattice reduction (LR)-aided detector, which improves further frequency utilization efficiency. The proposed receiver achieves near optimum performance by removing an equivalent noise generating in the MMSE...
In this paper, we propose an iterative message passing receiver jointly performing channel, phase noise estimation and symbol detection for multi-input multi-output (MIMO) systems. The joint iterative receiver is designed using message passing techniques: general expectation maximization (GEM) and belief propagation (BP) on factor graphs. Therein, the nonlinear measurement function node and symbol...
Massive multiple-input multiple-output (MIMO), also known as very-large MIMO systems, is an attracting technique in 5G, as it can provide higher rates and power efficiency than 4G. However the radio-frequency(RF) chains associated with the antennas increase the system complexity and cost. Antenna selection is an effective way to reduce the number of RF chains. In this paper, we proposed an antenna...
The problem of two-dimensional (2D) direction of arrival (DOA) estimation with non-uniform L-shaped array is discussed. The generalized ESPRIT algorithm (GESPRIT) has an advantage of being suitable to arbitrary array geometry. However, the direct applying of (GESPRIT) algorithm in non-uniform L-shaped array (called 2D-GESPRIT) needs an exhaustive 2D spectral search, which makes it unfeasible in practice...
Centralized/Cloud Radio Access Network (C-RAN) is a promising future mobile network architecture which can ease the cooperation between different cells to manage interference. However, the feasibility of C-RAN is limited by the large bit rate requirement in the fronthaul. This paper study the maximum throughput of different transmission strategies in a C-RAN cluster with transmission power constraints...
Coordinated multi-point transmission can provide high spectral efficiency for cellular systems. However, along with the increment in the amount of data, backhaul gradually becomes the bottleneck in terms of system performance and cost. In this paper, the backhaul delay is mainly focused in coordinated cellular networks and a hybrid channel prediction (HCP) algorithm is proposed. This algorithm combines...
A random-vector-based beamforming scheme for Millimeter-Wave (mm-Wave) MIMO systems with asymptotic optimal performance at low signal-to-noise ratio (SNR) is proposed in this paper. Through transmitting random vectors from transmitter (TX) to receiver (RX) then back to TX, the proposed scheme can obtain the estimation of channel auto-correlation with low complexity operations and then obtain the nearly...
In this paper, a statistical weighting average (SWA) approach is proposed for cooperative spectrum sensing (CSS) system in Cognitive Radio Networks (CRNs). Two SWA algorithms, including ordered weighted average (OWA) and weighted ordered weighted average (WOWA), are initially designed in CRNs. In a weighting process, the final weighting factor (WF) for a distributed sensor is jointly determined by...
The downlink scheduling is always a key problem in the wireless communication. In time of LTE and 5G, the real time multimedia is demanding more resources and flexibility. To meet this ever growing challenge for the QoE of users, a novel layered scheduler is designed in this paper, which treats the constraint of delay and the object for maximal throughput separately. Taking the fluctuations in both...
In peer-to-peer overlay networks, distributed hash tables have been characterized as self-organizing, scalable, and robust. Up to now, distributed hash tables allow to store, search and retrieve only single data elements, which make the creation of more complex applications, such as distributed online social networks, very cumbersome. Sophisticated applications require the support for various and...
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