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We investigate the energy efficiency (EE) maximization problem under the scenario of Device-to-Device (D2D) communications underlaying cellular networks. By jointly considering time-varying channels and stochastic arrivals, we propose a distributed power allocation algorithm for both D2D user groups (DUGs) and cellular user terminals (CUTs) with long- term quality of service (QoS) provision. To effectively...
Energy-efficient design has emerged as a promising technique in heterogeneous networks. We study the energy efficiency problem of joint user association and power allocation in a two-tier heterogeneous network with small cells. The energy efficiency is maximized under certain prescribed quality-of-service requirement and maximum power limit constraint. The original optimization problem is a nonconvex...
In this paper, we study joint energy cooperation and traffic management in renewable energy powered cellular system where a centralized unit manages the traffic and the energy cooperation among BSs. We first formulate a stochastic optimization problem which aims at minimizing the total on-grid energy consumption while satisfying the quality-of-service (QoS) requirement of classes of services, i.e...
To maintain the interest of both energy supplier and demand side consumers in the electricity market, in this paper, we propose a Nash bargaining demand side management scheme that optimizes the demand loads to achieve a balanced interest distribution. We formulate the power distribution problem by the Nash bargaining framework, where the optimization objective, defined as social benefit, is product...
Computation offloading manages resource-intensive and interactive applications on mobile devices where much processing is replicated with multiple users in the same environment. In this paper, we consider the scenario where duplicated computation tasks are processed on specific mobile users and computation results are shared through Device-to-Device (D2D) multicast channel. Our goal is to find an...
Cloud robotics is an emerging paradigm that enables autonomous robotic agents to communicate and collaborate with cloud computing infrastructures. It further complements Internet of Things (IoT) to improve the performance of smart city applications. By offloading heavy data- intensive computation to the ubiquitous cloud, quality of service (QoS) guarantee can be ensured. Unlike their mobile counterpart,...
In modern cognitive ratio systems, the spectrum is becoming increasingly crowded and expensive; thus spectrum sensing becomes more important than ever before. Traditional spectrum sensing assumes Gaussian noise (or of other given distributions) in general. However when secondary users (SUs) have no prior information about the measurement distributions, the spectrum sensing schemes assuming given distribution...
Cooperation among network devices is a promising solution to improve network throughput and network service quality. In addition, it can be used to enhance network survivability against failures. In this paper, we study the user cooperation solution of multipath streaming application on wireless user equipments (UEs) using auction theory. We assume that UEs use multipath transport layer service, and...
In this paper, we introduce MVPN, a framework for building secure Virtual Private Networks (VPNs) with a novel Mobile IPv6 based Moving Target Defense strategy. Our approach aids in combating remote attacks against a VPN server. By eliminating the static address of the server, we make it difficult for an attacker to find the server. The server''s address is randomly changed at a certain interval creating...
Linear precoding for Far-End CrossTalk (FEXT) cancellation is supported by the first release of the next generation DSL standard G.fast utilizing bandwidth up to 106 MHz. The cancellation precoding for the second release (bandwidth up to 212 MHz with much stronger FEXT) has not been standardized yet. Non-linear Tomlinson-Harashima Precoding (THP) is a promising candidate as it outperforms the linear...
Efficient transmission power control is indispensable for cellular networks. It not only provides a high energy efficiency, but also maintains reliable connections. With the emergence of 5G mobile technology, the presence of device-to-device (D2D) communications within the cellular network has stimulated research on radio resource sharing. In this paper, we consider an underlay D2D network operating...
This paper considers the optimal energy-efficient transmission policy in time-sharing multiuser systems with a hybrid energy harvesting transmitter. The system operation energy is supplied by a constant energy source which is driven by a non-renewable resource and an energy harvester which harvests energy from its surrounding environment. Our goal is to maximize the energy-efficient transmission of...
Millimeter wave multiple-input multiple-output (MIMO) communication systems must operate over sparse wireless links and will require large antenna arrays to provide high throughput. To achieve sufficient array gains, these systems must learn and adapt to the channel state conditions. However, conventional MIMO channel estimation can not be directly extended to millimeter wave due to the constraints...
Mobile cloud computing is increasingly being used in recent times to offload parts of an application to the cloud to reduce its finish time. However, quality of offloading decisions depend on network conditions and hence many offloading solutions assume that MAC layer retransmissions will tackle transient frame errors. This can lead to suboptimal solutions, as well as, degrade service level guarantee...
Wireless caching at users' devices in mobile social network is considered to be a promising solution to alleviate backhaul overload in future wireless networks. However, most of the current works propose caching schemes based on heuristic reasoning and intuition with poor performance or high complexity which are impractical due to individual devices' computing capacity restriction. In this paper,...
Heterogeneous cloud small cell network (HCSNet) with energy harvesting is a promising technique in the next generation mobile communications. However, the cross- tier and co-tier co-channel interference can be severe due to the spectrum sharing in inter-tier and intra- tier of HCSNet. This paper investigates the problem of power allocation and subchannel assignment with the consideration of cross-tier/co-tier...
In this paper, we investigate the sustainable resource allocation for green Cloud Radio Access Networks (C-RAN) powered by renewable energy. Specifically, the Base Station pool (BS pool) in the C-RAN distributes data to a set of remote radio heads (RRHs) with energy harvesting (EH) capability, and allocates sub-carriers to the selected RRHs for downlink transmissions, by jointly considering the user...
Abstract-In this paper, the problem of designing a linear precoder for Multiple-Input Multiple-Output (MIMO) systems in conjunction with Quadrature Amplitude Modulation (QAM) is addressed. First, a novel and efficient methodology to evaluate the input-output mutual information for a general Multiple-Input Multiple-Output (MIMO) system as well as its corresponding gradients is presented, based on the...
Virtual machine (VM) consolidation and switch/path consolidation are two typical techniques for improving energy efficiency in data centers (DCs). Most of existing work separately optimize VM consolidation and switch consolidation which results in inferiority of the optimization performance. Moreover, these work usually handle a user application as a VM flow (i.e., a source VM is connected to a destination...
This paper investigates the joint user association (UA) and user scheduling (US) for load balancing in a wireless downlink heterogeneous network by formulating a network-wide utility maximization problem. In order to efficiently solve the problem, we first approximate the original non-convex throughput function to a concave function, and demonstrate that the gap for such approximation approaches zero...
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