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Recently, tremendous utilization of wireless networks has led to sever scarcity of radio spectrum resources. TV White Spaces (TVWSs) as novel bands enabling Cognitive Radio (CR) technology to improve spectrum resources utilization, have attracted significant standardisation efforts such as IEEE 802.11af, IEEE 802.16h and 802.22. As these heterogeneous networks may operate on the same channels of TVWSs,...
Cooperative spectrum sharing increases the spectrum efficiency and improves the performance of primary users (PUs) in cognitive radio domain. This paper proposes an energy-aware dynamic spectrum sharing framework, named Cooperative Spectrum Sharing with Energy-save(CSSE), which maximizes energy saving while ensures communication QoS (i.e. transmission rate) of primary transmitter (PT). In CSSE, the...
We consider a cooperative multiple access channel (MAC) with two energy harvesting transmitters. The transmitters perform delay constrained transmission, i.e., every information block is encoded, transmitted and decoded between two consecutive energy harvests. We aim to maximize the achievable departure region over a finite transmission duration. We formulate the departure region maximization as a...
We consider a block-fading Gaussian MAC under a local CSI model where the transmitters have access to their own fading states. The system requires that the joint transmission rate-vector should not be in outage in any block. The average rate-tuples that can be achieved in fading MAC under such local distributed CSI and outage-free transmission belong to the so called adaptive capacity region. We present...
Swarm robotics is a relatively new research area, established as an application of social insects swarm intelligence to multi-robot systems. This paper focuses on the division of labor, and a response threshold model observed in insect societies is applied to a swarm robotic system that performs food foraging. Each robot has a response threshold for leaving their nest and then making a decision by...
Femtocell is an efficient solution for mobile operators to expand indoor coverage and increase network capacity. In this paper, we study the downlink resource allocation problem of two-tier macrocell-femtocell networks. We first formulate the problem as a Mixed Integer Non-Linear P rogram (MINLP) which aims to maximize the capacity of clustered femtocell networks subject to hard delay constraints...
In this work, we propose a dynamic distributed resource sharing scheme which jointly considers mode selection, resource allocation, and power control in a unified framework for general D2D communications. Specifically, we model the joint problem of mode selection and resource allocation as a hedonic coalition formation game, and develop a coalition formation process based on the switch rule. Through...
This paper addresses an energy-efficiency (EE) maximized resource allocation (RA) problem for cooperative orthogonal frequency division modulation (OFDM) transmission, when the system's total power consumption (including the circuit power and transmission power) is limited below a peak value. The improved DF relaying protocol proposed in [1] is used with optimized subcarrier pairing. The EE is evaluated...
The main challenges for embedded real-time systems which use battery as their power supply are both to satisfy the requirements of real-time systems and minimize the energy consumption. This paper studies the energy saving problem for DAG (Directed Acyclic Graph) tasks in soft real-time systems with heterogeneous multicore processors. Since soft real-time systems can tolerate occasional time violations...
Soft frequency reuse (SFR) schemes have been proposed to mitigate the inter-cell interferences (ICI) issue for capacity improvements at cell edge. Nonetheless, the allocation of subcarriers in SFR reduces spectral efficiency in specific cell areas, resulting in the decrease of the system throughput. In this paper, we propose to improve the system throughput by dynamically allocating and exchanging...
Nowadays, analyzing large amount of data is of paramount importance for many companies. Big data and business intelligence applications are facilitated by the MapReduce programming model while, at infrastructural layer, cloud computing provides flexible and cost effective solutions for allocating on demand large clusters. Capacity allocation in such systems is a key challenge to providing performance...
This paper proposes a jointly cooperative relay and jamming protocol based on full-duplex (FD) capable relay to increase the source-destination secrecy rate in the presence of different types of eavesdroppers. In this so called FD-Relay with jamming (FDJ) protocol, the FD-Relay, first, simultaneously receives data and sends jamming to the eavesdropper, and, then, forwards the data, while the source...
In this paper, a two timescale dynamic node-selfishness management mechanism is proposed with respect to the node's available resources as well as vicinal nodes' actions, which have different time-varying characteristics. Based on this dynamic node-selfishness mechanism, we develop a dynamical flow allocation approach. During a long-timescale interval, which consists of several short time intervals,...
A task migration method is proposed for energy savings in multiprocessor real-time systems. The method is based on the portioned scheduling technique which classifies each task into a fixed task or a migratable task. The energy-aware migration with specified parameters is formulated as a linear programming problem, and optimal solution is given. Furthermore, the method is extended to more general...
This paper considers minimizing source-sum-power consumption under outage constraints in a wireless multiple-sensor single-relay network with direct link communication. We consider decode-and-forward (DF) relaying. It is difficult to find the exact expression of the optimal solution to the problem. A suboptimal power allocation and lower bound of the minimum source power consumption are provided....
While the services-based model of cloud computing makes more and more IT resources available to a wider range of customers, the massive amount of data in cloud platforms is becoming a target for malicious users. Previous studies show that attackers can co-locate their virtual machines (VMs) with target VMs on the same server, and obtain sensitive information from the victims using side channels. This...
The Artificial Hormone System (AHS) is a completely decentralized operation principle for a middleware which can be used to allocate tasks in a system of heterogeneous processing elements (PEs) or cores. Tasks are scheduled according to their suitability for the heterogeneous PEs, the current PE load and task cooperation. The AHS also provides properties like self-configuration, self-optimization...
The problem of frequency subchannels allocation between nodes in a common link is considered. It is assumed that every node has an access to a limited subset of subchannels and its requirements to a data rate is known. Under these conditions, subchannels allocation algorithm is proposed.
The ever-growing demand for cloud resources places the resource management at the heart of the design and decision-making processes in cloud computing environments. Cloud providers offer heterogeneous resources such as CPUs, memory, and storage in the form of Virtual Machine (VM)instances. Recently, cloud providers have introduced auction-based models to sell their unutilized resources in an auction...
In this paper, we investigate the selection of cooperative relays in a cellular mobile network. We take into account the effect of the resource sharing of each relay by its served users on the relay selection strategy. At first, we propose a novel selection strategy of one cooperative relay considering both Amplify and Forward (AF) and Decode and Forwards (DF) protocols. Then, we extend our study...
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