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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...
Mobile-edge computing (MEC) has recently emerged as a promising paradigm to liberate mobile devices from increasingly intensive computation workloads, as well as to improve the quality of computation experience. In this paper, we investigate the tradeoff between two critical but conflicting objectives in multi-user MEC systems, namely, the power consumption of mobile devices and the execution delay...
In this paper, energy-efficient resource allocation algorithms are investigated to improve the energy efficiency (EE) in two-way multi- carrier amplify-and-forward (AF) relay networks by ensuring the quality-of-service (QoS) and balancing the EE of the user links. We formulate an EE-balancing optimization problem that maximizes the ratio of the spectral efficiency (SE) and the total network power...
Optimization of resource allocation is fundamental to implement orthogonal frequency division multiple access (OFDMA), which energy efficiency (EE) is very much desired. Wireless network virtualization recently emerges to flexibly enable high data rate services, but optimal cross-layer design with OFDMA remains open. While energy efficiency (EE) is a critical issue for OFDMA systems, the appropriate...
In this paper, we focus on the energy efficient joint resource scheduling scheme in time varying Cloud-RAN with delay sensitive traffic. We jointly consider the computation resources provided by baseband units (BBUs), which are modeled as the data processing rate of each virtual machine (VM) provided by the BBUs, and the antenna resources provided by the remote radio heads (RRHs), which are modeled...
Control data separation architecture (CDSA) is a more efficient architecture to overcome the overhead issue than the conventional cellular networks, especially for the huge bursty traffic like Internet of Things, and over-the-top (OTT) content service. In this paper, we study the optimization issue of network energy efficiency of the CDSA-based heterogeneous cloud radio access networks (H-CRAN) networks,...
Nowadays, data centers deploy a large number of servers and network devices to provide various service functions (e.g. firewalls, deep packet inspection, content caches, WAN optimizers, etc.) and sufficient network connection. Most traffic in data centers is subject to treatment by multiple service functions (SFs) which form an ordered service function chain (SFC). In this paper, we study the energy-aware...
This paper considers power control in energy cooperation enabled heterogeneous networks (HetNets), where each base station (BS) is powered by hybrid energy sources consisting of the conventional power grid and renewable energy sources. Energy can be transferred between BSs with energy loss during the energy transmission process. Transmit power, grid power consumption, and transferred energy are optimized...
The Radio Access Network based on Fog computing (F- RAN) has been recently proposed to alleviate the heavy burden on backhauls of Cloud Radio Access Network (C-RAN). Equipping the edge device of C-RAN with local storage module (cache) is a specific realization of F-RAN. Some frequently requested files are cached at the Radio Units (RUs), both the traffic load and the overall delay can be reduced....
This paper jointly optimizes the precoding matrices and the set of active remote radio heads (RRHs) to minimize the network power consumption for a cloud radio access network (C-RAN) where both the RRHs and users all have multiple antennas. Both users' rate requirements and per-RRH power constraints are considered. Due to these conflicting constraints, this optimization problem may be infeasible....
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