scholarly journals Energy-Efficient Layered Video Multicast over OFDM-Based Cognitive Radio Systems

2015 ◽  
Vol 2015 ◽  
pp. 1-12
Author(s):  
Wenjun Xu ◽  
Shengyu Li ◽  
Yue Xu ◽  
Zhiyong Feng ◽  
Jiaru Lin
Keyword(s):  
Cognitive Radio ◽  
Power Allocation ◽  
Energy Efficient ◽  
Video Data ◽  
Spectrum Efficiency ◽  
Base Layer ◽  
Video Multicast ◽  
Layered Video ◽  
Subcarrier Assignment

An energy-efficient layered video multicast (LVM) scheme for “bandwidth-hungry” video services is studied in OFDM-based cognitive radio (CR) systems, where the video data is encoded into a base layer and several enhancement layers with the former intended for all subscribers to guarantee the basic quality of reconstructed video and the latter aiming at the quality improvement for the promising users with good channel conditions. Moreover, in order to balance user experience maximization and power consumption minimization, a novel performance metricenergy utility(EU) is proposed to measure the sum achieved quality of reconstructed video at all subscribers when unit transmit power is consumed. Our objective is to maximize the system EU by jointly optimizing the intersession/interlayer subcarrier assignment and subsequent power allocation. For this purpose, we first perform subcarrier assignment for base layer and enhancement layers using greedy algorithm and then present an optimal power allocation algorithm to maximize the achievable EU using fractional programming. Simulation results show that the proposed algorithms can adaptively capture the state variations of licensed spectrum and dynamically adjust the video transmission to exploit the scarce spectrum and energy resources adequately. Meanwhile, the system EU obtained in our algorithms is greatly improved over traditional spectrum efficiency (SE) and energy efficiency (EE) optimization models.

scholarly journals Optimal Energy-Efficient Sensing and Power Allocation in Cognitive Radio Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Xia Wu ◽  
Jin-Ling Xu ◽  
Ming Chen ◽  
Junbo Wang
Keyword(s):  
Energy Efficiency ◽  
Cognitive Radio ◽  
Power Allocation ◽  
Energy Efficient ◽  
Primary User ◽  
Joint Optimization ◽  
Secondary Users ◽  
Function Of Two Variables ◽  
Sensing Time

We consider a joint optimization of sensing parameter and power allocation for an energy-efficient cognitive radio network (CRN) in which the primary user (PU) is protected. The optimization problem to maximize the energy efficiency of CRN is formulated as a function of two variables, which are sensing time and transmit power, subject to the average interference power to the PU and the target detection probability. During the optimizing process, the quality of service parameter (the minimum rate acceptable to secondary users (SUs)) has also been taken into consideration. The optimal solutions are analyzed and an algorithm combined with fractional programming that maximizes the energy efficiency for CRN is presented. Numerical results show that the performance improvement is achieved by the joint optimization of sensing time and power allocation.

Scalable P2P Video Streaming

2012 ◽  
pp. 249-265
Author(s):  
Majed Alhaisoni ◽  
Mohammed Ghanbari ◽  
Antonio Liotta
Keyword(s):  
Video Coding ◽  
Scalable Video Coding ◽  
Video On Demand ◽  
Base Layer ◽  
P2p Networks ◽  
Limited Bandwidth ◽  
Layered Video ◽  
Rate Base ◽  
Hybrid P2p

P2P networks are a technology able to deliver real time and video-on-demand services over IP networks. Layered video coding techniques are being introduced due to their ability to deliver streams at different scales (temporal, spatial and SNR) that solve the heterogeneity problem. This eases transmission in the case of limited bandwidth, as the devices can pick and decode the minimum bit rate base layer. Existing work examines layered video in client-server scenarios. In contrast, this paper analyzes scalable coding H.264/SVC over P2P networks based on an SNR-temporal Codec. Due to the interdependency between the different SVC layers, issues of reliability and quality of experience arise unless proper measures are taken to protect the base layer. The authors explore the effectiveness of a combination of P2P strategies, for example, hybrid P2P architecture, P2P locality, and P2P redundancy, to assess the viability and benefits of scalable video coding over P2P. The resulting performance is compared with a state-of-the-art P2P TV platform.

Scalable P2P Video Streaming

2010 ◽  
Vol 6 (3) ◽  
pp. 49-65 ◽  
Author(s):  
Majed Alhaisoni ◽  
Mohammed Ghanbari ◽  
Antonio Liotta
Keyword(s):  
Video Coding ◽  
Scalable Video Coding ◽  
Video On Demand ◽  
Base Layer ◽  
P2p Networks ◽  
Limited Bandwidth ◽  
Layered Video ◽  
Rate Base ◽  
P2p Video Streaming

P2P networks are a technology able to deliver real time and video-on-demand services over IP networks. Layered video coding techniques are being introduced due to their ability to deliver streams at different scales (temporal, spatial and SNR) that solve the heterogeneity problem. This eases transmission in the case of limited bandwidth, as the devices can pick and decode the minimum bit rate base layer. Existing work examines layered video in client-server scenarios. In contrast, this paper analyzes scalable coding H.264/SVC over P2P networks based on an SNR-temporal Codec. Due to the interdependency between the different SVC layers, issues of reliability and quality of experience arise unless proper measures are taken to protect the base layer. The authors explore the effectiveness of a combination of P2P strategies, for example, hybrid P2P architecture, P2P locality, and P2P redundancy, to assess the viability and benefits of scalable video coding over P2P. The resulting performance is compared with a state-of-the-art P2P TV platform.

scholarly journals Joint Subcarrier Assignment and Global Energy-Efficient Power Allocation for Energy-Harvesting Two-Tier Downlink NOMA Hetnets

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 163556-163577 ◽  
Author(s):  
Mohammed W. Baidas ◽  
Mubarak Al-Mubarak ◽  
Emad Alsusa ◽  
Mohamad Khattar Awad
Keyword(s):  
Energy Harvesting ◽  
Power Allocation ◽  
Energy Efficient ◽  
Global Energy ◽  
Efficient Power ◽  
Subcarrier Assignment
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