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Downlink energy efficiency modeling and optimization with backhaul awareness and interference price in ultra cellular HetNet

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The Journal of China Universities of Posts and Telecommunications 2019年第2期26卷 67-81页

作者： Li Bo Sun Xuehong Li Chunshu Xue Kaiping Zhang Xiaoguang Ningxia Key Laboratory of Intelligent Sensing for Desert Information Ningxia UniversityYinchuan 750021China Department of Electronic Engineering and Information Science University of Science and Technology of ChinaHefei 230026China Academy of Opto-Electronics Chinese Academy of SciencesBeijing 100080China

The cellular heterogeneous network(HetNet) with ultra dense small cells is called ultra cellular *** energy efficiency for this network is very important for future green wireless *** data rates and power consumptions for three parts(i.e.,macro cells,small cells,and mixed backhaul links) in ultra cellular HetNet are jointly formulated to model downlink energy efficiency considering the active base stations(BSs) and inactive ***,in order to decrease the downlink co-channel interference,the interference price functions are also jointly set up for the three parts in ultra cellular ***,energy efficiency optimization iterative algorithm scheme using the fractional programming and Lagrangian multiplier with constraints for density of ultra dense small cells and fraction of mixed backhaul links is presented with interference *** convergence and computation complexity are also proved in this *** numerical simulations finally demonstrate convergence behavior of the proposed *** comparison,some conclusion can be *** energy efficiency of system is lower as the density of small cell is *** effect on maximizing energy efficiency with interference price outperforms that without interference *** the energy efficiency increases as the fraction of mixed backhaul links is higher because of more power consumption in the microwave backhaul links.

关键词： ultra cellular energy efficiency optimization backhaul link interference price

A superposition scheme for downlink multicell processing with finite backhaul capacity

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Journal of Southeast University(English Edition) 2017年第3期33卷 253-259页

作者： Yi Xiao Wu Mingzhan Liu Nan National Mobile Communications Research Laboratory Southeast University Nanjing 210096 China

In the scenario of downlink multicell processing with finite backhaul capacity in the case of two base stations and two mobile users, by regarding the channel as a multiple access diamond channel with two destinations, an achievability scheme that sends correlated codewords through the multiple access channel with common data is proposed. By considering the superposition structure, fully correlated codewords can be supported by the proposed scheme, which can benefit the system throughput in the case of a relatively-large-capacity backhaul. First, an achievable region for the achievable theory is given and it is proved from the perspective of information theory. Then, in the Gaussian scenario, a simulation combining dirty-paper coding and power allocating is provided for the achievable region. Simulation results demonstrate that when the backhaul capacity is relatively large, the proposed scheme outperforms the existing achievability scheme without the superposition structure.

关键词： multicell processing finite backhaul capacity superposition dirty-paper coding power allocating

An Optimal Resources Configuration Scheme for Caching-Based Content Distribution in backhaulLimited Small Cell Networks

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China Communications 2018年第1期15卷 12-22页

作者： Jingfeng Cai Ronghui Hou Yinghong Ma State Key Lab of Integrated Service Networks Xidian University

In this paper, we study the problem of resource allocation in small cell networks with distributed caching, that is, how to divide the spectrum resources for backhaul and access in order to improve network performance. We formulate our concerned problem by using multi-dimensional Markov model. Our problem considers that each user may access multiple small cell base stations. We conduct simulation experiments to evaluate the performance of our proposed resource allocation scheme. Our simulation results show that the appropriate spectrum resource allocation is important to improve network performance.

关键词： small cell wireless backhaul re-source allocation content distribution cache

Metrics and Algorithms for Scheduling of Data Dissemination in Mesh Units Assisted Vehicular Networks

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Wireless Sensor Network 2009年第3期1卷 142-151页

作者： Zhongyi LIU Bin LIU Wei YAN 不详

Data dissemination is an important application in vehicular networks. We observe that messages in vehicular networks are usually subject to both time and space constraints, and therefore should be disseminated during a specified duration and within a specific coverage. Since vehicles are moving in and out of a region, dis-semination of a message should be repeated to achieve reliability. However, the reliable dissemination for some messages might be at the cost of unreliable or even no chance of dissemination for other messages, which raises tradeoffs between reliability and fairness. In this paper, we study the scheduling of data dis-semination in vehicular networks with mesh infrastructure. Firstly, we propose performance metrics for both reliability and fairness. Factors on both the time and space dimensions are incorporated in the reliability met-ric and the fairness in both network-wide and Mesh Roadside Unit-wise (MRU-wise) senses are considered in the fairness metric. Secondly, we propose several scheduling algorithms: one reliability-oriented algorithm, one fairness-oriented algorithm and three hybrid schemes. Finally, we perform extensive evaluation work to quantitatively analyze different scheduling algorithms. Our evaluation results show that 1) hybrid schemes outperform reliability-oriented and fairness-oriented algorithms in the sense of overall efficiency and 2) dif-ferent algorithms have quite different characteristics on reliability and fairness.

关键词： Data Dissemination Vehicular Networks Scheduling Mesh backhaul