I. Valavanis, D. Zarbouti, G. Athanasiadou, G. Tsoulos
{"title":"Basestation antenna pattern reconfiguration for minimum transmit power network planning","authors":"I. Valavanis, D. Zarbouti, G. Athanasiadou, G. Tsoulos","doi":"10.1109/OnlineGreenCom.2015.7387381","DOIUrl":"https://doi.org/10.1109/OnlineGreenCom.2015.7387381","url":null,"abstract":"Optimization of basestation antenna patterns and transmitted powers in heterogeneous 4g networks with geographically inhomogeneous throughput requirements is not an easy problem to tackle, and hence, frequently omitted. Moreover, the initial phase of network dimensioning and planning often fails to meet growing throughput demands, and hence, network operation becomes problematic, especially around hotspots. This paper formulates the coverage and capacity optimization problem in the context of 4g systems and uses a multi-objective genetic algorithm in order to optimize the basestation antenna patterns with respect to their pointing direction, 3dB beamwidth and transmitted power. The proposed optimization algorithm is then applied to provide the most energy efficient network setup in a test scenario with varying area capacity requirements. It is shown that the reconfigured network setups featured neatly adjusted radiation patterns, increase capacity capabilities while reducing network cost and energy consumption and, most importantly, improve safety with regards to reduced power emissions.","PeriodicalId":171886,"journal":{"name":"2015 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125700909","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}
{"title":"A reservation based charging management for on-the-move EV under mobility uncertainty","authors":"Yue Cao, Ning Wang, Y. J. Kim, Chang Ge","doi":"10.1109/OnlineGreenCom.2015.7387372","DOIUrl":"https://doi.org/10.1109/OnlineGreenCom.2015.7387372","url":null,"abstract":"With the continually increased attention on Electric Vehicles (EVs) due to environment impact, public Charging Stations (CSs) for EVs will become common. However, due to the limited electricity of battery, the driver may experience discomfort for long charging waiting time, if travelling towards a CS which is heavily loaded for charging. With this concern, we manage on-the-move EV charging by coordinating which CS to select for charging, and propose a CS-selection scheme considering EVs anticipated charging reservations generally including arrival time and expected charging time, in particular the parking duration is further considered in this paper. Upon this, by addressing mobility uncertainty that EVs may not reach their selected CSs on time due to uncertain traffic condition on the road, a periodical reservation updating for requesting the change of CS-selection decision is proposed to further coordinate charging management. The motivation for this is mainly due to that the mobility uncertainty affects the accuracy of reported reservation information, concerning the arrival time at selected CSs and expected charging time upon arrival. Evaluation results show the effectiveness of our proposal when considering realistic EV and CS characteristics.","PeriodicalId":171886,"journal":{"name":"2015 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131150038","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}
{"title":"Energy efficiency of electronic and optical QAM signal grooming","authors":"Mariya Bhopalwala, H. Rastegarfar, D. Kilper","doi":"10.1109/OnlineGreenCom.2015.7387380","DOIUrl":"https://doi.org/10.1109/OnlineGreenCom.2015.7387380","url":null,"abstract":"Wavelength grooming technologies when used with power management schemes can reduce the energy consumption of optical networks and increase spectral efficiency. Grooming aggregates multiple tributary lower data rate or lower order modulation format signals into a single higher data rate signal with increased spectral efficiency. At high data rates electronic digital signal processing of multiple advanced modulation format signals limits the net energy efficiency benefits. Optical techniques have received interest recently as an alternative, but require specialized optical components with unique energy requirements. The relative energy consumption of optical processing techniques for grooming, including the impact of power management, is evaluated with respect to conventional electronic processing on quadrature amplitude modulated (QAM) signals. Energy efficiency targets in light of expected efficiency improvement trends are determined as a function of signal baud rate. The impact of finite transmission switching delays for dynamic wavelength operation are shown to reduce the optimum baud rate for optical techniques and incur a large penalty at high baud rates.","PeriodicalId":171886,"journal":{"name":"2015 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132629645","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}
Marco Savi, Omran Ayoub, F. Musumeci, Zhe Li, G. Verticale, M. Tornatore
{"title":"Energy-efficient caching for Video-on-Demand in Fixed-Mobile Convergent networks","authors":"Marco Savi, Omran Ayoub, F. Musumeci, Zhe Li, G. Verticale, M. Tornatore","doi":"10.1109/OnlineGreenCom.2015.7387373","DOIUrl":"https://doi.org/10.1109/OnlineGreenCom.2015.7387373","url":null,"abstract":"The success of novel bandwidth-consuming multimedia services such as Video-on-Demand (VoD) is leading to a tremendous growth of the Internet traffic. Content caching can help to mitigate such uncontrolled growth by storing video content closer to the users in core, metro and access network nodes. So far, metro and especially access networks supporting mobile and fixed users have evolved independently, leveraging logically (and often also physically) separate infrastructures; this means that mobile users cannot access caches placed in the fixed access network (and vice-versa), even if they are geographically close to them, and energy consumption implications of such undesired effect must be investigated. We define an optimization problem modeling an energy-efficient placement of caches in core, metro and fixed/mobile access nodes of the network. Then, we show how the evolution towards a Fixed-Mobile Converged metro/access network, where fixed and mobile users can share caches, can reduce the energy consumed for VoD content delivery.","PeriodicalId":171886,"journal":{"name":"2015 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115155627","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}