scholarly journals A Fair Resource Allocation Algorithm for Data and Energy Integrated Communication Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Qin Yu ◽  
Yizhe Zhao ◽  
Lanxin Zhang ◽  
Kun Yang ◽  
Supeng Leng
Keyword(s):  
Resource Allocation ◽  
Communication Networks ◽  
Time Allocation ◽  
Energy Resource ◽  
Design Sensitivity ◽  
Base Station ◽  
Resource Allocation Algorithm ◽  
Allocation Algorithm ◽  
Integrated Communication ◽  
Network Technologies

With the rapid advancement of wireless network technologies and the rapid increase in the number of mobile devices, mobile users (MUs) have an increasing high demand to access the Internet with guaranteed quality-of-service (QoS). Data and energy integrated communication networks (DEINs) are emerging as a new type of wireless networks that have the potential to simultaneously transfer wireless energy and information via the same base station (BS). This means that a physical BS is virtualized into two parts: one is transferring energy and the other is transferring information. The former is called virtual energy base station (eBS) and the latter is named as data base station (dBS). One important issue in such setting is dynamic resource allocation. Here the resource concerned includes both power and time. In this paper, we propose a fair data-and-energy resource allocation algorithm for DEINs by jointly designing the downlink energy beamforming and a power-and-time allocation scheme, with the consideration of finite capacity batteries at MUs and power sensitivity of radio frequency (RF) to direct current (DC) conversion circuits. Simulation results demonstrate that our proposed algorithm outperforms the existing algorithms in terms of fairness, beamforming design, sensitivity, and average throughput.

scholarly journals Energy-Efficient Time and Energy Resource Allocation in Non-selfish Symbiotic Cognitive Relaying Sensor Network with Privacy Preserving for Smart City

2020 ◽  
Author(s):  
Ping Li ◽  
Yu Liu ◽  
Xiang Gao ◽  
Huibo Li ◽  
Peng Gong
Keyword(s):  
Resource Allocation ◽  
Energy Efficiency ◽  
Sensor Network ◽  
Energy Resource ◽  
Primary User ◽  
Information Privacy ◽  
Privacy Preserving ◽  
Resource Allocation Algorithm ◽  
Allocation Algorithm ◽  
Time Resource

Abstract Energy efficiency and privacy preserving have become essential for the wireless sensor networks. In the previous work, an optimal power allocation algorithm was investigated for a non-selfish symbiotic cognitive relaying scheme (NSCRS) in the sensor network with coexistence of a primary user (PU) and cognitive users (CUs). However, the optimal strategy of energy and time resource allocation as well as the privacy preserving was not considered. In this paper, we further consider the joint energy and time resource allocation problem for the cognitive users in NSCRS to maximize the overall capacity of the primary user and cognitive users with the consideration of information privacy under the energy constraints of cognitive users. With full channel state information (CSI), i.e., PU s -PU d , PU s -CUs and CUs-PU d , an optimal energy and time resource allocation algorithm is proposed based on the exhaustive searching. In order to reduce the overhead of CSI feedback, a suboptimal algorithm, in which only the instantaneous CSI of PU s -PU d , the instantaneous CSI of PU s -CUs and an averaged CSI of CUs-PU d by long term observation rather than an instantaneous value of CSI of CUs-PU d are required, is additionally proposed. Simulation results demonstrate the energy efficiency of primary and cognitive users in the NSCRS with consideration of information privacy can be greatly improved by the proposed algorithms.

scholarly journals Qos-Aware Memetic-Based Optimal Cross-Layer Resource Allocation in Mixed Lte Networks

2019 ◽  
Vol 8 (3) ◽  
pp. 5930-5938
Keyword(s):  
Resource Allocation ◽  
Communication Networks ◽  
Vital Role ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Data Traffic ◽  
Delay Bound ◽  
Lte Networks ◽  
Resource Allocation Algorithm ◽  
Allocation Algorithm

With the recent advancements and due to the rapid growth of LTE networks, Machine Type Communication (MTC) plays a vital role in the characterization of Internet of Things (IOT).Human-to-Human (H2H) communication and MTC are the two different types of communication handled by LTE-A networks. Due to the co-existence of H2H communication and MTC in LTE-A networks, a serious challenge may arise for scheduling critical MTC with H2H communication networks. To maintain the Quality of Service (QoS) requirements for H2H communication and to provide data traffic for MTC networks LTE networks faces a serious challenge for allocating the resources blocks to the users. In this paper we propose a resource allocation algorithm for optimizing the problems faced by critical MTC and H2H communication networks by maintaining the QoS requirements from a cross-layer design perspective. A novel cross layer memtic based resource allocation algorithm is presented in this paper by investigating the resource allocation problem for different combinations of Channel Quality Indicator (CQI) modes for critical MTCDs and H2H UEs. The Performance and computational complexity of the proposed algorithm in different cases of CQI is measured in terms of cell throughput and probability of delay bound violation (PBDV) is analyzed and the simulations results shows that the proposed system is more efficient compared to other resource allocation algorithms.

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