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In this paper, we propose a novel m-th best average biased received power (ABRP) user association (UA) scheme for K-tier heterogeneous networks (HetNets), where a user is associated with the base station (BS) having the m-th strongest ABRP. For this novel scheme, by using stochastic geometry and modeling the positions of network elements in each tier as a homogeneous Poisson point process (PPP), we...
Ambient backscatter is an emerging technology that utilizes the surrounding radio frequency (RF) signals such as digital digital television (TV) broadcasting, cellular or Wireless-Fidelity (Wi-Fi) to enable batteryless devices to communicate with each other. One open problem for ambient backscatter is channel capacity. In this paper, we investigate the capacity problem of an ambient backscatter communication...
In current wireless cellular networks, generally a mobile station is able to acquire its position through diverse positioning techniques. Incorporating position and communication will improve the wireless system performance. In this paper, we propose position based power control and mode handover methods for hybrid wireless cellular and D2D (Device-to-Device) communications. Each mobile station passes...
This paper investigates the resource allocation problem in heterogeneous cognitive radio networks (HCRNs). In this paper, two types of users, i.e., multi-homing and single-network cognitive radio users (CRUs), are considered to coexist in HCRNs. Multi-homing CRUs can access multiple networks simultaneously, while single-network CRUs can be served by only one network at a time. With the aim of maximizing...
Recently, 802.11ah with restricted access window for collision attenuation has been proposed for Internet of Things (IoT) applications. Random grouping of nodes in different access window is utilized to reduce the hidden node collision probability. However, when the coverage area of the sink node is large, the occurrence probability of hidden node problem is still high and severely impacts the system...
Advances in convolutional neural network (CNN) have aroused great interests all over the world. Despite the fact that the amount of convolutions in CNNs is proportional to that of layers, people tend to pursue more remarkable performance by exploiting a deep convolution neural network (DCNN), leading to large area occupation. With the deeper process involved in large-scale integrated circuits, circuit...
With the rapid development of Internet Protocol Television (IPTV), operators are more interested in user Quality of Experience (QoE). The aim of QoE prediction is to study the relationship between the user QoE and the features selected from IPTV set-top box. To handle this issue, in this paper, we propose an IPTV user QoE prediction algorithm based on the long short-term memory (LSTM) network. Specifically,...
In this paper we consider recovering non-negative sparse signals under heterogeneous noise from a Bayesian inference perspective. To induce sparsity and non-negativity simultaneously, we assign a rectified Gaussian scale mixture prior to the signal of interest. With such a prior, the signal posterior is analytically intractable. To handle this, we employ an approximate approach to simplify the inference...
This paper investigates physical layer security of non-orthogonal multiple access (NOMA) in cognitive radio (CR) networks. The techniques of NOMA and CR have improved the spectrum efficiency greatly in the traditional networks. Because of the difference in principles of spectrum improving, NOMA and CR can be combined together, i.e. CR NOMA network, and have great potential to improving the spectrum...
In this paper, the downlink ergodic rate of distributed antenna systems (DASs) is studied with linear beamforming under pilot contamination. Utilizing Jensen's inequality and the properties of Gamma distribution, we derive a closed-form expression of the achievable rate with maximum ratio transmission (MRT) beamforming. Then, based on the approximation for non-isotropic vectors as well as the properties...
In this paper, belief propagation (BP) detection based on max-sum (MS) algorithm for massive multiple-input multiple-output (MIMO) systems is therefore proposed to reduce computational complexity of general belief propagation. Owing to employing the approximation strategy, complexity reduction of MS is at the expense of detection performance loss. Based on MS algorithm, two effective approaches are...
Localization of wireless networks has remained an active research topic for more than a decade, as it finds more and more applications in numerous scenarios, including environment surveillance, asset tracking, and healthcare monitoring, etc. In this paper, we consider the maximum likelihood localization of a network where some of the nodes are GPS-capable while the others attempt to achieve self localization...
This paper investigates resource allocation in a multi-user, multi-band and multi-antenna equipped wireless communication system, which is used for simultaneous wireless information and power transmission (SWIPT). The optimization problems of sum-rate over multiple sub-bands subject to the power spectral density requirement (PSDR) limit and the circuit power requirement (CPR) are studied in the case...
Vehicles to Pedestrians (V2P) communication always plays a critical role in Intelligent Transportation System (ITS). Recent researches show that Wi-Fi module in smartphones could be used to improve the traffic safety by broadcasting pedestrian position data. However, these Wi-Fi-based schemes could not achieve two-way communication with low latency, which would seriously affect the user experience...
In this paper, we study the physical layer security in the downlink Non-Orthogonal Multiple Access (NOMA) systems with the capability of simultaneous wireless information and power transfer (SWIPT). In our system, each user applies the optimum power splitting (PS), in order to coordinate the energy harvesting and information decoding at the receiver. The optimization problem is formulated as the optimal...
Energy efficiency has gradually become an important factor for improving the user experience of smartphones. Many background applications continue to consume energy without users' awareness, because these applications use wakelock to prevent the device from going to sleep state, while such misused will cause no-sleep bugs. In this paper, a framework for sensing wakelock application and mining users'...
Software defined networking (SDN) has been proposed as a novel centralized architecture which is capable of offering flexible network management and user quality-of-service (QoS) guaranteed applications. The problem of controller placement in SDN, i.e., determining the locations of the controllers has received considerable attention in recent years. In this paper, we jointly consider the control plane...
Sparse code multiple access (SCMA) is a promising non-orthogonal multiple access scheme to support massive connectivity. In this paper, we propose a novel scheme to analyze the performance of Low-density Parity-check (LDPC) codes in SCMA systems based on density evolution (DE) theory. In particular, we develop the combination method including channel adapter and log-likelihood ratio (LLR) convertor...
This paper studies the channel estimation and equalisation of orthogonal frequency-division multiplexing (OFDM) systems over doubly selective channels. We consider practical channel estimation schemes based on basis expansion model (BEM) and clustered pilots. We investigate the influence of the parameters of the channel estimation scheme, including the dimensionality of the BEM basis and bandwidth...
Spatial crowdsourcing engages individuals to collect and process social, environmental and other information with spatio-temporal features, making the data collection and analysis efficient, scalable and smart. The quality of task fulfillment strongly depends on the set of recruited workers. The more suitable workers are engaged, the better results may be obtained, meanwhile, the more privacy of workers...
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