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Ultra-reliable and low latency communications is envisioned to enable new services and applications with high reliability, availability and low latency, e.g, factory automation, Tactile Internet. Device-to-device communication is one such mean that allows devices to experience benefits in terms of shorter communication latency. Currently most device-to-device communication in frequency-division duplex...
In this work, a relay-selection scheme is proposed for underlay cognitive radio networks, with fixed and adaptive relaying power. The relay-selection and power allocation is based on the calculation of the log-likelihood ratio (LLR) value, calculated at each of the relay nodes available in the secondary network. No interference is caused to the primary network, through the satisfaction of a low power...
The IEEE 802.15.3 standard provides a framework for Medium Access Control (MAC) in high data-rate wireless personal area networks (WPAN) e.g. the mmWave piconets. The protocol also supports provisions for co-existence of multiple piconets in the form of Parent-Child hierarchies of Simultaneously Operated Piconets (SOP) operating in TDMA mode where each child piconet reserves a private channel time...
Reusing the frequency resources has long been a desirable practice in most licensed wireless networks. In future, frequency reuse will be enabled by advanced technologies like device-to-device (D2D) communication which will allow eNB-free data exchange between end devices. However, the first challenge for devices to establish D2D links will be to ”discover” each other in a distributed manner. Even...
The femtocell is a promising technology that can be employed to enhance next generation wireless network coverage. It possesses the potential to reduce network deployment risk, improve network operation efficiency and capacity. By utilizing femtocells spectrum utilization can be improved. Due to its key features, including low cost, high speed, and plug and play capability, network operators should...
In this paper, we study how to provide optimal performance guarantee in multi-resource scenarios, such as Network Function Virtualization (NFV), where Virtual Network Function (VNF) resource demands of one Service Function Chain (SFC) are elastic and correlated with the end-to-end throughput of SFC. Previous works such as Dominant Resource Fairness (DRF) achieve this goal only if the demands are already...
In this paper, we propose PreDA-a preferencebased truthful double auction for dynamic spectrum access (DSA) networks where multiple heterogeneous spectrum bands are sold by the primary users and bought by the secondary users. We consider channels' heterogeneity and multi-bids from buyers, and also consider buyers' preferences for the channels. We use the signal to interference and noise ratio (SINR)...
The integration of Device-to-Device (D2D) communication into a cellular network improves system spectral efficiency, increases capacity, reduces power consumption and also reduces traffic to the evolved NodeB (eNB). However, D2D communication generates interference to the conventional cellular network which deteriorates the system performance. In this paper, we propose a radio resource allocation...
In our paper, a novel method is proposed to obtain the optimal positions of secondary base stations (SBSs) for cognitive radio Internet of Things (IoT) sensor networks and to select the optimal operating channel in order to maximize the secondary capacity, while also protecting the primary systems. We proposed an appearance probability matrix for secondary IoT sensor devices in order to maximize the...
In this paper, we investigate the resource allocation for the video streaming service in the cognitive radio network (CRN) based on orthogonal frequency division multiple access (OFDMA). Considering the channel estimation error between secondary transmitters (STx) and primary receivers (PRx), we address the probabilistic interference constraint model. With imperfect CSI between STx and secondary receivers...
Dynamic Spectrum Access (DSA) based Cognitive Radio (CR) allows a secondary user (SU) to use spectrum in an opportunistic manner when the primary user (PU) of that spectrum is not transmitting. Conventional dynamic spectrum allocation methods deal with acquiring spectrum as fixed width channels. In this paper, we propose a novel technique where a node inside a network can dynamically access the spectrum...
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...
Inter-Cell Interference Coordination (ICIC) techniques are proposed as solutions to alleviate the negative impact of interference on system performance, while enhancing the provided Quality of Service (QoS). Typically, the available bandwidth is divided into inner and edge sub-bands. Users are also classified into interior and edge users. The available resources in each zone are exclusively allocated...
Vehicle-to-vehicle (V2V) communication which supports ubiquitous information exchange and content sharing among vehicles with little or no human intervention becomes a key enabler for intelligent transportation industry. In this paper, we adopt a two-hop relay transmission mode to maximize the total spectrum efficiency of a device-to-device (D2D) based vehicular cooperative network while ensuring...
Non-Orthogonal Multiple Access (NOMA) is a promising multiple access technique for 5G wireless communication networks due to its higher spectral efficiency and user fairness. Power allocation is the key to improve the performance of NOMA systems. In this paper, we focus on a certain NOMA group of a hybrid NOMA system. We formulate a sum-throughput maximization problem for uplink under the constraints...
In the paper, we studied the solution of resource allocation problem with Coordinated Multi-Point(CoMP) in heterogeneous wireless networks. The utilization of CoMP technology enhances channel quality of users at the edge of cells, but it also brings more complexity to resource management of the network. To reduce this pressure, we exploited a feedback-based method to determine the allocation of users...
Traditional power allocation algorithms in heterogeneous networks (HeNets) are given under the assumption of perfect channel state information (CSI). However, the perfect CSI is difficult to obtain due to the efficiency of channel fading and feedback delays. In this paper, a robust power allocation algorithm is proposed to minimize the total transmit power of femtocell users under the constraints...
This paper investigates the joint power and admission control problem for a multi-pair massive multiple-input multiple-output (MIMO) amplify-and-forward relaying system. Our aim is to minimize the total transmit power for users while maximizing the number of supported users by adopting the new linear programming deflation (NLPD) algorithm. Here, the removal strategy of the NLPD algorithm is compared...
In order to improve the spectrum utilization rate of Device-to-Device (D2D) communication, we study the hybrid resource allocation problem, which allows both the resource reuse and resource dedicated mode to work simultaneously. Meanwhile, multiple D2D devices are permitted to share uplink cellular resources with some designated cellular user equipment (CUE). Combined with the transmission requirement...
In this paper, a non-orthogonal multiple access cognitive radio network with simultaneous wireless information and power transfer is studied under a practical non-linear energy harvesting model. A multi-objective optimization problem(MOOP) is formulated to maximize the harvesting power of each energy harvesting receiver. This problem is non-convex and challenging to be solved. The weighted Tchebycheff...
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