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We consider the problem of partitioning clinical services in hospitals into groups with the goal of efficiently allocating existing inpatient beds. At the strategic level, there are two major possibilities: pooling versus focusing. Pooling the bed capacity allows one to achieve an overall high occupancy level for a fixed number of beds. On the other hand, focusing by dividing the capacity into groups...
We consider the problem of partitioning clinical services in hospitals into groups with the goal of efficiently allocating existing inpatient beds. At the strategic level, there are two major possibilities: pooling versus focusing. Pooling the bed capacity allows one to achieve an overall high occupancy level for a fixed number of beds. On the other hand, focusing by dividing the capacity into groups...
In this paper, we jointly consider communication, caching and computation in a multi-user cache-assisted mobile edge computing (MEC) system, consisting of one base station (BS) of caching and computing capabilities and multiple users with computation-intensive and latency-sensitive applications. We propose a joint caching and offloading mechanism which involves task uploading and executing for tasks...
In this paper, we study the energy-efficient user access control (UAC) based on resource allocation (RA) in heterogeneous cellular networks (HCNs) with the required downlink data rate under non-ideal power amplifiers (PAs) and circuit power. It is proved that the energy consumption minimization is achieved when the typical user accesses only one base station (BS), while the other BSs remain in idle...
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...
In this paper we propose an efficient method that is able to find intelligently the most suitable resource allocation strategy, in order to extinguish the fire in shortest possible time, considering the resource limitations and environmental conditions. The proposed method called MMHDP (Modified Multi-objective Hybrid DE and PSO Algorithms for Resource Allocation in Forest Fires). In order to evaluate...
The lifetime of machine to machine (M2M) communication networks plays significant impact on system performance and user quality of service (QoS). To increase network lifetime, efficient resource allocation schemes can be applied. In this paper, we study the network lifetime maximization problem of an M2M communication network consisting one base station (BS) and a number of machine type communications...
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...
The future 5G networks need to support different kinds of business and applications, so the cloud radio access networks (C-RAN) which can provide a centralized collaborative resource management gain through small base stations, and seamless handoff also can be achieved through the overlapping deployment of macro base stations and micro base stations has become one of the important directions in 5G...
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...
The Device-to-Device (D2D) communication underlaying cellular networks has advantages of improving the spectral utilization, data rate, and energy efficiency. This paper studies a position-based mode selection and resource allocation scheme for D2D communications underlaying cellular networks. With position information available, first an offline channel state information (CSI) retrieval model is...
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,...
In this paper, the problem of energy efficient power management in wireless powered communication networks (WPCN) is addressed. The key novelty of the introduced approach, towards providing enhanced energy-efficient communication, is the combined consideration of the needs and dependencies in both the wireless energy transfer and wireless information transmission phase. Each user is assumed to be...
This paper focuses on the resource allocation problem with equality and inequality constraints in a fixed weight-balanced directed or undirected network. Moreover, we propose a fully decentralized subgradient algorithm with event-triggered for solving above resource allocation problem based on first-order discrete-time multi-agent systems. Where each agent only communicates with its neighbors and...
Considering the influence of resource redundancy in mission planning problem, mathematical model in pursuit of maximal task execution accuracy and minimal resource redundancy is established. Then, mixed integer branch-and-bound method is used to generate the best assignment of a single task, m-best algorithm based on decision space partition algorithm generates m sub-optimal assignment of each task,...
Network service providers have to cope with the growing on-demand need from end-users as well as the diversity of usage. The softwerization and cloudification of the network components offer an interesting solution to achieve the agility necessary to dynamically match the requirement with the level of resource consumption. This materializes with the deployment of Network Functions Virtualization (NFV)...
In this paper, the problem of joint users' uplink transmission power and rate allocation in NOMA wireless networks is studied, under the scenario that each user is simultaneously requesting multiple services. Each user is associated with a two-variable utility function that represents his satisfaction from his allocated resources (i.e., power and rate). In order to appropriately reflect the combined...
Optimal configuration of base station (BS) parameters is a key requirement in current cellular networks. For acceptable user (UE) performance, the bandwidth and transmit power parameters of each BS need to be intelligently chosen. Soft frequency reuse (SFR) is a resource allocation algorithm that specifies efficient frequency and power distribution for different locations within a BS. By classifying...
With the flourish of urban public transportation, a larger amount of users request for high quality service in vehicle environments. Moving relay (MR) is proposed as a solution for enhancing the vehicular users experience. But in high-speed environment, serious Doppler spreading impairs the link quality of MR and Macro Base Stations (MBSs), which will cause inter-carrier interference (ICI) in orthogonal...
Evolutionary multitasking aims to explore implicit synergy among multiple optimization tasks. Through the effect of hitchhiking, evolutionary multitasking is capable of improving the performance of evolutionary algorithms on exploration as well as exploitation. Multifactorial evolutionary algorithm (MFEA) presented an effectual implementation of evolutionary multitasking, which simultaneously seeks...
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