{"title":"A game theoretical approach for cooperative environmentally friendly cellular networks powered by the smart grid","authors":"Hakim Ghazzai, E. Yaacoub, Mohamed-Slim Alouini","doi":"10.1109/OnlineGreenCom.2014.7114437","DOIUrl":"https://doi.org/10.1109/OnlineGreenCom.2014.7114437","url":null,"abstract":"This paper investigates the collaboration between multiple mobile operators to optimize the energy efficiency of cellular networks, maximize their profits or achieve or tradeoff between both objectives. Mobile operators cooperate together by eliminating redundant base stations (BSs) using a low complexity algorithm that aims to maximize their objective functions subject to a quality of service constraint. The problem is modeled as a two-level Stackelberg game: a mobile operator level and a smart grid level. Indeed, in our framework, we assume that cellular networks are powered by multiple energy providers existing in the smart grid characterized by different pollutant levels in addition to renewable energy source deployed in BS sites. The objective is to find the best active BS combination and the optimal procurement decision needed to the network operation during collaboration by considering electricity real-time pricing. Our study includes the daily traffic variation in addition to the daily green energy availability. Our simulation results show a significant saving in terms of CO2 emissions compared to the non-collaboration case and that cooperative mobile operators exploiting renewables are more awarded than traditional operators.","PeriodicalId":412965,"journal":{"name":"2014 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130294696","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":"Performance analysis of macro-assisted data-only carrier system in 5G energy-efficient heterogeneous networks","authors":"Chang Liu, Jiaxin Zhang, Jianyuan Feng, Xuefen Hong, Xing Zhang, Wenbo Wang","doi":"10.1109/OnlineGreenCom.2014.7114429","DOIUrl":"https://doi.org/10.1109/OnlineGreenCom.2014.7114429","url":null,"abstract":"As the rapid development of wireless communication technologies and the widespread popularity of smart terminals, traffic and demands of the mobile network grow exponentially, moreover the deployment of small cells in current heterogeneous networks becomes denser and denser. These bring lots of signaling overhead and too much energy consumption, in addition these challenge the robustness of mobile performance. In order to cope with these problems, we have already proposed a macro-assisted Data-only Carrier (DoC) system for small cell enhancement in [1]. In this article, we focus on the performance analysis of DoC system, especially for signaling overheads, mobility enhancement and small cell on/off schemes. Meanwhile, performance evaluation is intended to prove the benefits of the Data-only Carrier architecture by a complete system and link level simulation platform according to current 3GPP LTE standard.","PeriodicalId":412965,"journal":{"name":"2014 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131861496","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":"Wireless power transfer and communication for sensors: dynamic frame-switching (DFS) policy","authors":"Jingon Joung, Chin Keong Ho, Sumei Sun","doi":"10.1109/OnlineGreenCom.2014.7114419","DOIUrl":"https://doi.org/10.1109/OnlineGreenCom.2014.7114419","url":null,"abstract":"Wireless sensors are key to machine-to-machine communications and serve as the basis for realizing the Internet of Things. Spectral and energy efficiencies are key parameters that determine the usefulness of a sensor. In this paper, we consider the scenario where both information and power are sent through the same wireless medium to sensors. Each sensor independently decides to switch between information decoding (ID) and energy harvesting (EH), comparing its received signal power with some given thresholds. The objective is to maximize the harvested energy subject to reliably decoding the data. We show that in many practical cases of interest, as the number of data frames (packets) increases, it is asymptotically optimal to use a single-threshold policy, in which the sensor uses ID if the received signal power is less than a fixed threshold, and EH otherwise.","PeriodicalId":412965,"journal":{"name":"2014 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121594705","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 multi-armed bandit formulation for distributed appliances scheduling in smart grids","authors":"A. Barbato, Lin Chen, F. Martignon, Stefano Paris","doi":"10.1109/OnlineGreenCom.2014.7114418","DOIUrl":"https://doi.org/10.1109/OnlineGreenCom.2014.7114418","url":null,"abstract":"Game-theoretic Demand-Side Management (DSM) systems represent a promising solution to control the electrical appliances of residential consumers. Such frameworks allow indeed for the optimal management of loads without any centralized coordination since decisions are taken locally and directly by users. In this paper, we focus our analysis on a game-theoretic DSM framework designed to reduce the bill of a group of users. In order to converge to the equilibrium of the game, we adopt an efficient learning algorithm proposed in the literature, Exp3, along with two variants that we propose to speed up convergence. In defining these methods, we model the appliances scheduling problem as a Multi-Armed Bandit (MAB) problem, a classical formulation of decision theory. We analyze the proposed learning methods based on realistic instances in several use-case scenarios and show numerically their effectiveness in improving the performance of next generation smart grid systems.","PeriodicalId":412965,"journal":{"name":"2014 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131315922","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":"Anticipatory power cycling of mobile network equipment for high demand multimedia traffic","authors":"Martin Dräxler, Philipp Dreimann, H. Karl","doi":"10.1109/OnlineGreenCom.2014.7114415","DOIUrl":"https://doi.org/10.1109/OnlineGreenCom.2014.7114415","url":null,"abstract":"The increasing energy demand of mobile phone networks is a problem for the environment and a cost factor for mobile network operators. Multimedia content is increasingly popular, demands high data rates, and increases energy usage of mobile phone networks. Thus it is important to reduce energy usage of mobile phone networks while serving multimedia content with a high quality of experience (QoE). We developed an approach to power-cycle base stations and control the playback of video streams while reducing the energy consumption and not decreasing the QoE for users. We present two implementations: an optimization problem and an iterative algorithm. Up to 80% of energy can be saved by combining power cycling and video stream controlling in low-load situations. With increasing load, the energy consumption also increases while the QoE can still be improved.","PeriodicalId":412965,"journal":{"name":"2014 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114864359","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":"An energy-efficient WiFi offloading model in a heterogeneous network","authors":"B. H. Jung, Nah-Oak Song, D. Sung","doi":"10.1109/OnlineGreenCom.2014.7114433","DOIUrl":"https://doi.org/10.1109/OnlineGreenCom.2014.7114433","url":null,"abstract":"In this paper, we model power consumption of a heterogeneous network consisting of overlapped cellular and WiFi networks. Then, we propose a novel WiFi offloading model for maximizing per-user energy efficiency in terms of bps per Joule. In the proposed WiFi offloading model, the heterogeneous network gathers user information and decides which portion of generated per-user traffic should be transmitted via WiFi networks in order to maximize the per-user energy efficiency; the heterogeneous network informs users of this portion, i.e, WiFi offloading ratio. Finally, each user offloads the traffic from the cellular network by the WiFi offloading ratio. Consequently, a user and the heterogeneous network achieve more than 20% higher energy efficiency than the conventional WiFi offloading model in a dense traffic environment through the proposed WiFi offloading model.","PeriodicalId":412965,"journal":{"name":"2014 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133736328","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":"Adaptive LSAS transmission for energy optimisation in low density cellular networks","authors":"Wahyu Pramudito, E. Alsusa, D. So, K. Hamdi","doi":"10.1109/OnlineGreenCom.2014.7114432","DOIUrl":"https://doi.org/10.1109/OnlineGreenCom.2014.7114432","url":null,"abstract":"This paper proposes an adaptive framework for optimising energy efficiency in large scale antenna systems (LSAS) by utilising knowledge about the users' requirement and properties in a novel discontinuous transmission (DTx) scheme. The users' requirement includes bit rate and latency while the users' properties include pathloss between the Macro basestation (MBS) and users, and information about the average received interference by each user. The proposed DTx divides the transmission into L scheduled transmissions (STs). In each ST, one or more users will be released from the overall scheduled transmission hence, leaving more spectrum for the remaining users that require longer transmission. It will be shown that the proposed scheme provides energy efficiency (EE) and Quality of Service (QoS) improvement for various number of users. This demonstrates that DTx based LSAS is an effective candidate for future cellular network for suburban and rural area.","PeriodicalId":412965,"journal":{"name":"2014 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131871393","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}
X. Yin, A. Vyncke, G. Torfs, M. Verbeke, H. Chow, D. Suvakovic, Alex Duque, D. V. Veen, T. Ayhan, P. Vetter
{"title":"CBI: a scalable energy-efficient protocol for metro/access networks","authors":"X. Yin, A. Vyncke, G. Torfs, M. Verbeke, H. Chow, D. Suvakovic, Alex Duque, D. V. Veen, T. Ayhan, P. Vetter","doi":"10.1109/OnlineGreenCom.2014.7114424","DOIUrl":"https://doi.org/10.1109/OnlineGreenCom.2014.7114424","url":null,"abstract":"This paper presents a scalable energy-efficient MAC/PHY protocol for building a metro/access network. The proposed cascaded bit-interleaving (CBI) protocol extends the previously reported bit-interleaving concept to a multi-level paradigm. Moreover, a 40Gb/s 3-level electrical duobinary based physical layer scheme has been proposed for cost and energy saving, especially for end terminals. We compared two implementation approaches in terms of optical budget and transmission penalties. The initial estimate from the proof-ofconcept full-custom ASIC design shows that an ultra-low power metro/access network can be realized.","PeriodicalId":412965,"journal":{"name":"2014 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122008466","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-aware scheduling schemes for cloud data centers on Google trace data","authors":"Z. Dong, Wenjie Zhuang, R. Rojas-Cessa","doi":"10.1109/OnlineGreenCom.2014.7114422","DOIUrl":"https://doi.org/10.1109/OnlineGreenCom.2014.7114422","url":null,"abstract":"In this paper, we propose the most efficient server first (MESF) task scheduling scheme to minimize the energy consumed by data-center servers. MESF allocates and schedules tasks to servers according to the energy profile of servers. Energy consumed by data-center servers constitutes the largest portion of the total data-center energy consumption. The proposed MESF scheme uses resource allocation information and server energy profiles to schedule tasks to the servers with the least virtual power consumption (VPC) increment. We tested our proposed scheme on a real-world trace data set from Google clusters, and the simulation results show that the proposed MESF task scheduling scheme outperforms the random-based and least allocated server first schemes on energy savings.","PeriodicalId":412965,"journal":{"name":"2014 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123754339","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":"Analytical outage performance of cognitive small cell network","authors":"M. Mishra, A. Trivedi","doi":"10.1109/OnlineGreenCom.2014.7114427","DOIUrl":"https://doi.org/10.1109/OnlineGreenCom.2014.7114427","url":null,"abstract":"Spectral efficiency (SE) and energy efficiency (EE) are the critical challenges for the next generation cellular network (NGCN). Small cells deployment and cognitive radio which facilitates efficient utilization of radio spectrum are the promising techniques for evolution of the NGCN. In a heterogeneous cellular network (HCN) design where interference is an important issue, outage probability is a fundamental performance measure. In this paper, stochastic geometry based model is used for deriving the outage probability for different resource allocation strategies, which are both interference and instantaneous signal power limited. This paper considers a cognitive based two tier HCN where the macro base stations (MBSs) and cognitive pico base stations (CPBSs) are distributed by two independent homogeneous spatial Poisson point processes (HSPPPs). Co-channel resource allocation strategy considers cross-tier and co-tier interference, while orthogonal channel strategy considers only co-tier interference to calculate the outage probability. Moreover, depending on the outage probability expression, the area spectral efficiency (ASE) and EE are calculated for co-channel and orthogonal channel deployment. Analytical results, with a constraint on minimum instantaneous signal power, show that the outage performance and EE are better for orthogonal resource allocation compare to the co-channel resource allocation strategy.","PeriodicalId":412965,"journal":{"name":"2014 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121347583","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}