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We consider a two-way cognitive radio relay network where two secondary users (SUs) can simultaneously transfer energy and information to a relay. Then, a joint optimization algorithm for power allocation and energy cooperation is proposed. The algorithm proves that the formulated throughput maximization problem is a convex optimization problem. Next, we decompose the formulated problem into a power...
This paper considers a fast fading wireless powered wiretap channel, where an energy constrained information source, powered by a dedicated power beacon, sends a secret message to a legitimate user using the artificial noise (AN) scheme in the presence of a passive eavesdropper. Based on a two-phase time division protocol, the ergodic secrecy throughput is derived. Furthermore, the optimal time-switching...
Due to the expansion of the unmanned aerial vehicle (UAV) market, there is the issue of spectrum scarcity for unmanned aerial system (UAS). Thus, it needs to allocate the resource effectively in the limited bandwidth considering the network environment. In this paper, we propose the frame structure and the resource allocation algorithm which can maximize the network throughput as well as satisfy the...
In this study, the resource blocks (RB) are allocated to user equipment (UE) according to the evolutional algorithms for long term evolution (LTE) systems. Particle Swarm Optimization (PSO) algorithm is one of the evolutionary algorithms, based on the imitation of a flock of birds foraging behavior through learning and grouping the best experience. Therefore, we propose a Simple Particle Swarm Optimization...
Recent research has been focused on development of models to enhance the resources allocated to Device to Device Communication (D2D) within LTE-A cellular network, which is considered as promising technology for improving network throughput, spectrum efficiency and transmission delay. The availability of huge number of smart phone at affordable price has increase cellular data traffic, generated by...
In this paper, we present an ant colony optimization (ACO) based Bayesian learning which optimizes the transmission energy efficiency for a multi-user multi-carrier communication system. The ACO algorithm is inspired by the swarm behavior of ants — sharing out the work and helping one another, which is a kind of Bayesian learning. The resource allocation problem in a multi-user multi-carrier system...
Taking advantage of both edge cache (EC) and coordinated processing, cache-enabled cloud radio access networks (C-RANs) have shown good potential to become a solution for future wireless networks. With the demand that the network needs to be fast, green and affordable, it has become an issue both practical and challenging to design a resource allocation strategy that leads to a proper balance among...
Cognitive radio (CR) is an effective way to improve the utilization of spectrum resource. This paper focuses on the resource allocation in cooperative relay cognitive radio networks and proposes an optimized resource allocation algorithm. In the algorithm, when the channel between the primary source and destination is good, the primary user (PU) selects a best sub-channel to transmit its data directly,...
The increasing demand for underlaying cellular network has benefit form Device-to-Device (D2D) communication, where one need to apply productive plan for resource allocation to increase system capacity and mitigate interference. The bipartite graph matching strategy is used for optimizing the resource allocation among all other strategies; Kuhn-Munkres (KM) is one of algorithm applied to increase...
Exploiting full-duplex (FD) technology on base stations (BSs) is a promising solution to enhancing the system performance. Motivated by this, we revisit a full-duplex base station (FD-BS) aided OFDMA system, which consists of one BS, several uplink/downlink users and multiple subcarriers. A joint 3-dimensional (3D) mapping scheme among subcarriers, down-link users (DUEs), uplink users (UUEs) is considered...
Offloading users from an overloaded macro base station (BS) to a lightly loaded small cell BS is critical to alleviate the congestion of the macro BSs. However to overcome the signal-to-interference-plus-noise ratio (SINR) degradation of the offloaded users, offloading should be done in conjunction with an efficient interference management technique. Strict fractional frequency reuse (Strict-FFR)...
The D2D communication has high potential to serve multiple users with high data rate within a proximity in the next generation cellular networks. In this paper, we consider a multicast scenario of D2D users where each user wishes to receive the same multicast data at varying data rates. Based on our best knowledge, finding an optimal solution to satisfy the user request in the said context requires...
The vast amount of the machine type communication devices (MTCDs) in machine-to-machine (M2M) communications and their limited energy budget are the crucial challenges to transmission scheme design. This paper proposes an energy-efficient power control and time scheduling scheme in M2M communications with non-orthogonal multiple access (NOMA) and energy harvesting. User equipment (UEs) are configured...
Device-to-device communication and energy harvesting are both key technologies to improve spectrum and energy efficiency. In this paper, we investigate the resource allocation problem for the energy harvesting-powered D2D communication underlaying cellular networks, where D2D pairs firstly harvest energy and then transmit information signals. The goal is to maximize the sum throughput via joint time...
Millimeter wave (mm-wave) communication is a topic of intensive recent study, as it allows to significantly boost data rates of future 5G networks. In this paper, we focus on a mm-wave system consisting of a single Access Point (AP) and two User Equipments (UEs), where one UE requires high throughput, while the other is characterized by a low latency demand. Given that setup, we aim at optimally allocating...
Orthogonal frequency division multiple access (OFDMA) is considered as a promising technique to overcome interference in multi-cell cellular networks. However, the mobility of heterogeneous user equipment brings new challenge to traditional OFDMA network. The current research about OFDMA system mostly based on multi-cell cellular system that is not perfectly compatible with the future networks, for...
4G/LTE (Long Term Evolution) is the state of the art wireless mobile broadband technology. It makes use of the OFDM technology to offer high speed and provides the system resources both in time and frequency domain. A scheduling algorithm running on the base station holds the allocation of these resources. In this paper, the performance of existing downlink scheduling algorithms has been investigated...
This paper provides several new methods for joint subcarrier and power allocation in the contexts of orthogonal and non-orthogonal multiple access. The aim is to minimize the average downlink BS transmit power, under user rate constraints. Particular care is given to the reduction of the complexity of corresponding algorithms. Results show that the proposed methods allow a significant decrease in...
In this paper, we investigate the energy efficient resource allocation problem for the wireless powered OFDMA multi-cell networks. In the considered system, the users who have data to transmit in the uplink are empowered by the wireless power obtained from multiple base stations (BSs) with a large scale of multiple antennas in the downlink. A time division protocol is considered to divide the time...
Ultra Dense network (UDN) is considered as one of the promising and efficient communication solution for high throughput and large connection numbers scenarios. Due to the densification of the users perspective and massive-access opportunities, how to optimize the multiple users access in UDN is an important and complicated problem. The traditional multi-user access schemes may be no longer suitable...
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