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Smart optimisation of radio resource distribution techniques is crucial in improving the overall performance of Next-Generation Networks (NGNs). Since higher data rates, lower latency and increased fairness for users are the main goals, an efficient scheduling algorithm has to be used. In this paper an evaluation of the performance of an indoor network is realised using the Realistic Indoor Environment...
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...
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...
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 this paper, the throughput maximization problem is investigated for a block fading buffer-aided relay channel. The decode-and-forward (DF) relaying scheme is adopted, and the buffers at the relay can temporarily store the data received from the source. Considering the non-ideal circuit power, one of three transmission modes (source transmission, relay transmission, and keeping silence) is selected...
The decode-and-forward (DF) relay based cellular network is considered an efficient technique for solving the coverage and improving system capacity of the current fourth-generation (4G) and the emerging fifth-generation (5G) mobile telecommunication technologies. In this analysis, we control the codeword's transmission parameters by achieving a good trade-off between setting more resources with changing...
In wireless network system the resources are limited. Therefore, managing resources is considered as a challenging task. The resource are distributed among attached UEs, so allocating resources needs to be well controlled. Packet scheduler in LTE network is responsible for assigning resources to attached UEs. Also, femtocell network is considered as promising solution for poor channel in indoor environment...
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...
The emergence of 5G wireless communication calls for new paradigms to satisfy the individuation and diversification of users' demands. In this paper, we construct the multicast groups under the guidance of user interest and then allocate the subcarriers and power to these groups in orthogonal frequency division multiple (OFDM) networks. Specifically, in order to maximize the social utility related...
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...
The existing Private/Professional Mobile Radio (PMR) technologies designed specifically for Mission Critical Communication (MCC) systems are narrowband and wideband devices, with limited network data capacity in emergency scenarios. They are majorly used to support MCC voice communications and low data rate applications during mission critical operations. However, the need for broadband systems that...
The diversity of IoT applications implies the requirement of reliable yet efficient MAC solutions for supporting transmissions for various traffic patterns. In this paper, we propose GoMacH, an efficient MAC protocol that provides high reliability and throughput for handling various traffic loads in IoT. GoMacH seamlessly integrates several outstanding techniques. It adopts the phase-lock scheme to...
The performance of router directly impacts the Network-on-Chip (NoC) performance. This paper focus on developing efficient microarchitecture of allocator in the router and proposed matrix-diagonal allocator with high matching quality and low packets latency. The allocator, taking advantage of the fact that each element in the diagonal doesn't share the same row or column, includes matrix-diagonal...
General queueing modeling method, Stochastic Timed Automation, is employed to model the Semiconductor Wafer Fabrication System because of its flexibility and fidelity. The machine allocation is formulated as a stochastic integer programming problem with the objective to optimize the throughput of the Semiconductor Wafer Fabrication System. And we propose an Optimal Computing Budget Allocation-based...
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...
Non-orthogonal multiple access (NOMA) is a promising radio access technique for the next generation (5G) cellular communication. The optimal power control, user scheduling, and resource allocation scheme to maximize the overall network throughput of downlink NOMA systems is investigated in this paper. A practical imperfect channel state information (CSI) model is adopted in our investigation where...
Adaptive cloud elasticity is a key requirement and an open challenge for the cost-effective and performance-efficient allocation of resources for cloud-based applications. It becomes even more challenging for IoT applications due to the dynamic and unpredictable characteristics of IoT data including volume, velocity, variety, volatility, and heterogeneity. In this paper, we study the impact of varying...
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...
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