2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)最新文献

Curtailing latency in data center network by adopting Jumbo Frames 采用巨型帧减少数据中心网络的延迟

2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) Pub Date : 2016-11-01 DOI: 10.1109/ANTS.2016.7947785

K. Sharma, Venkataramana Badarla

引用次数: 3

Energy-efficient multi-cell massive MIMO: How many antennas should we use? 节能多单元大规模MIMO:我们应该使用多少天线?

2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) Pub Date : 2016-11-01 DOI: 10.1109/ANTS.2016.7947855

K. N. R. S. V. Prasad, V. Bhargava

{"title":"Energy-efficient multi-cell massive MIMO: How many antennas should we use?","authors":"K. N. R. S. V. Prasad, V. Bhargava","doi":"10.1109/ANTS.2016.7947855","DOIUrl":"https://doi.org/10.1109/ANTS.2016.7947855","url":null,"abstract":"In this paper, we investigate resource optimization for energy-efficient data transmissions in a multi-cell massive multiple-input multiple-output (MIMO) system with zero-forcing (ZF) detectors. We optimize the number of active antennas per BS so as to maximize the energy efficiency (EE) of uplink data transmissions. To model the bit-per-joule EE objective, we consider throughput rate and power expenditure expressions which incorporate the effect of pilot contamination and non-zero circuit power consumption at the BS and the users. The resulting optimization problem is an integer fractional programming problem, which is non-convex and is difficult to solve in its original form. Therefore, a novel solution methodology is proposed, wherein principles from fractional programming are used to transform the original problem into a parametric form and then, to derive an iterative EE-maximization algorithm. During each iteration, the problem in parametric form is transformed into a discrete monotonic optimization problem, which is then solved using polyblock outer approximation. For a wide range of traffic loads, simulation results show that the proposed EE-maximization scheme achieves significantly higher EE levels when compared to conventional schemes with full antenna activation, particularly if the number of antennas deployed per BS is excessively large.","PeriodicalId":248902,"journal":{"name":"2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123308708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Hardware implementation of MIL-STD-1553 protocol over OFDMA-PHY based wireless high data rate avionics systems 基于OFDMA-PHY的无线高数据速率航空电子系统MIL-STD-1553协议的硬件实现

2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) Pub Date : 2016-11-01 DOI: 10.1109/ANTS.2016.7947832

Sandip Das, Suvra Shekhar Das, I. Chakrabarti

引用次数: 3

Testbed and experimental analysis of automatic modulation classifier for non-uniformly sampled signal 非均匀采样信号自动调制分类器的试验台及实验分析

2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) Pub Date : 2016-11-01 DOI: 10.1109/ANTS.2016.7947828

H. Joshi, S. Darak, Y. Louët

{"title":"Testbed and experimental analysis of automatic modulation classifier for non-uniformly sampled signal","authors":"H. Joshi, S. Darak, Y. Louët","doi":"10.1109/ANTS.2016.7947828","DOIUrl":"https://doi.org/10.1109/ANTS.2016.7947828","url":null,"abstract":"In dynamic spectrum environment, radio terminals adapt the modulation type of transmission according to channel parameters such as noise, fading etc. to meet the desired quality of service. Subsequently, receiver needs automatic modulation classifier (AMC) to identify the modulation type of transmitted signal if not informed explicitly. Also, an opportunistic spectrum access based cognitive radio needs AMC to accurately characterize the status of frequency bands. In this paper, USRP testbed has been developed to analyze the performance of cumulant based AMC in real radio environment for BPSK, QPSK, 16-QAM and 64-QAM modulation schemes. In the proposed testbed, the received signal is either uniformly sampled at Nyquist rate or non-uniformly sampled at sub-Nyquist rate and subsequently reconstructed. For non-uniform sampling (NUS), multi-coset sampling and orthogonal matching pursuit based reconstruction approach is realized. Experimental results, for various modulation types, antenna gains and various distances between transmitter and receiver, show that performance of AMC does not degrade significantly with NUS given that received signal is approximately sparse in frequency.","PeriodicalId":248902,"journal":{"name":"2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122796568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Non-autonomous dynamic network model involving growth and decay 涉及增长和衰减的非自治动态网络模型

2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) Pub Date : 2016-11-01 DOI: 10.1109/ANTS.2016.7947793

Ayan Chatterjee, A. Chakraborty, Saptarshi Pal, A. Mukherjee, M. K. Naskar

{"title":"Non-autonomous dynamic network model involving growth and decay","authors":"Ayan Chatterjee, A. Chakraborty, Saptarshi Pal, A. Mukherjee, M. K. Naskar","doi":"10.1109/ANTS.2016.7947793","DOIUrl":"https://doi.org/10.1109/ANTS.2016.7947793","url":null,"abstract":"Quantifying growth model in large scale complex networks has been analyzed using various distributions. Networks which are of ample interest in current scenario tend to follow the exponential distribution in their degree characteristics. This preferential attachment model only reflected the growth mechanism of the system. Birth and death are two indistinguishable phenomena of nature, thus losses of links and nodes in a network are bound to affect the distribution. Whether it be social network or biological reactions or body growth or it be popularity of actor or popularity of music genre all goes through three phases of growth, saturation and finally tends to decay. In this paper, we study this effect and come up with a more general “Gamma Distribution” model for these systems. A truly astonishing characteristic of these systems is their non-autonomy. The degree distribution parameter shows time dependency and follows an ‘inverted bathtub’ curve. Initially when the birth rate exceeds the death rate of links, the number of links increases, which lowers the number of hubs to number of links ratio. Thus, the distribution parameter (γ for scale-free) increases. When both rates are same, flat portion of bathtub curve is obtained. Finally, when the death of links dominates, three possibilities are there: When the number of hubs remains almost unchanged, decreasing portion of ‘inverted bathtub curve’ is observed. When hubs also start decaying, constant parameter value persists or creates spike in the curve on abrupt hub deaths. These sudden spikes can occur anytime during the life period of a network.","PeriodicalId":248902,"journal":{"name":"2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129490167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ultra resource constrained adaptive multipath routing for meteorological sensor networks 气象传感器网络超资源约束自适应多径路由

2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) Pub Date : 2016-11-01 DOI: 10.1109/ANTS.2016.7947809

V. Vivekanand, V. Sarabhai

引用次数: 5

A measurement study of energy consumption anc QoE trade-offs for DASH in mobile devices 移动设备DASH能耗与QoE权衡的测量研究

2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) Pub Date : 2016-11-01 DOI: 10.1109/ANTS.2016.7947817

Hema Kumar Yarnagula, Ram Kumar Vooda, V. Tamarapalli

引用次数: 2

Modeling the performance of IoT networks 物联网网络性能建模

2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) Pub Date : 2016-11-01 DOI: 10.1109/ANTS.2016.7947807

S. Sankaran

引用次数: 8

TDMAC: A timestamp defined message authentication code for secure data dissemination in VANET TDMAC:在VANET中用于安全数据传播的时间戳定义的消息认证代码

2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) Pub Date : 2016-11-01 DOI: 10.1109/ANTS.2016.7947863

Atanu Mondal, S. Mitra

引用次数: 10

Joint distributed scheduling and tree formation for heterogeneous wireless sensor networks 异构无线传感器网络的联合分布式调度与树形

2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) Pub Date : 2016-11-01 DOI: 10.1109/ANTS.2016.7947861

T. Vasavada, S. Srivastava

{"title":"Joint distributed scheduling and tree formation for heterogeneous wireless sensor networks","authors":"T. Vasavada, S. Srivastava","doi":"10.1109/ANTS.2016.7947861","DOIUrl":"https://doi.org/10.1109/ANTS.2016.7947861","url":null,"abstract":"Data collection is very basic application of Wireless Sensor Networks. Sensor nodes are deployed in region to be observed. They sense quantity of interest. It may be temperature, pressure, humidity, solar radiation and so on. The sensed readings are transferred to a central node known as sink or base station. Often networks are heterogeneous in nature i.e. more than one types of sensors are deployed in given region. In homogeneous networks, only one type of nodes are present. Once nodes are deployed, a tree is formed rooted at sink. It is difficult to achieve perfect aggregation in heterogeneous networks. Unlike homogeneous networks, nodes may have more than one types of packets coming in and going out. To maximize chances of aggregation, node should forward every packet to a parent where it can be aggregated. Thus a node may have to select more than one parents. This means that tree formation process should be done keeping heterogeneity in consideration. We have extended joint distributed scheduling and tree formation proposed in literature for heterogeneous networks. It is found that the extended algorithm maximizes aggregation, requires less number of time-slots to schedule the network and conserves energy. It is also found that scheduling heterogeneous network results in more control overhead than homogeneous network.","PeriodicalId":248902,"journal":{"name":"2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132915901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2