Pub Date : 2013-10-01DOI: 10.1109/OnlineGreenCom.2013.6731035
Mikko Pervilä, J. Kangasharju
This paper presents Underfloor air containment (UAC), a straightforward extension to Cold Aisle Containment (CAC). Both techniques aim to eliminate air stream mixing and thus reduce the volume of supply air needed for cooling. In UAC the underfloor air supply plenum of a data center is mechanically restricted to the floor sections containing the perforated tiles. We have implemented UAC in our department's 110 kW, 74 m2 data center. Through experimental evaluation and per-tile air velocity measurements, we show that UAC improves the air velocities passing through the perforated tiles in the CAC by 9%. Our solution is light-weight, very low cost, and rapidly installable in other data centers.
{"title":"Underfloor air containment","authors":"Mikko Pervilä, J. Kangasharju","doi":"10.1109/OnlineGreenCom.2013.6731035","DOIUrl":"https://doi.org/10.1109/OnlineGreenCom.2013.6731035","url":null,"abstract":"This paper presents Underfloor air containment (UAC), a straightforward extension to Cold Aisle Containment (CAC). Both techniques aim to eliminate air stream mixing and thus reduce the volume of supply air needed for cooling. In UAC the underfloor air supply plenum of a data center is mechanically restricted to the floor sections containing the perforated tiles. We have implemented UAC in our department's 110 kW, 74 m2 data center. Through experimental evaluation and per-tile air velocity measurements, we show that UAC improves the air velocities passing through the perforated tiles in the CAC by 9%. Our solution is light-weight, very low cost, and rapidly installable in other data centers.","PeriodicalId":152857,"journal":{"name":"2013 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121762179","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}
Pub Date : 2013-10-01DOI: 10.1109/OnlineGreenCom.2013.6731040
M. H. V. Reddy, E. Vivier, F. Kaddour
This paper provides a joint implementation of Fractional Frequency Reuse (FFR) and relays in the downlink of multi-cellular networks like Long Term Evolution (LTE) networks. The forecasted benefits concern inter-cell interference (ICI) mitigation in each cell. Based on this network architecture and related improvements, individual user throughputs and signal to interference plus noise ratio (SINR) are calculated for all the users and compared to the classical 1 × 3 × 3 frequency reuse scheme. System level simulation results show that our presented scheme can achieve significant improvements in terms of individual user throughput and spectrum efficiency.
{"title":"Joint benefits of fractional frequency reuse and relays in LTE networks","authors":"M. H. V. Reddy, E. Vivier, F. Kaddour","doi":"10.1109/OnlineGreenCom.2013.6731040","DOIUrl":"https://doi.org/10.1109/OnlineGreenCom.2013.6731040","url":null,"abstract":"This paper provides a joint implementation of Fractional Frequency Reuse (FFR) and relays in the downlink of multi-cellular networks like Long Term Evolution (LTE) networks. The forecasted benefits concern inter-cell interference (ICI) mitigation in each cell. Based on this network architecture and related improvements, individual user throughputs and signal to interference plus noise ratio (SINR) are calculated for all the users and compared to the classical 1 × 3 × 3 frequency reuse scheme. System level simulation results show that our presented scheme can achieve significant improvements in terms of individual user throughput and spectrum efficiency.","PeriodicalId":152857,"journal":{"name":"2013 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131675179","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}
Pub Date : 2013-10-01DOI: 10.1109/OnlineGreenCom.2013.6731028
A. Bianco, M. Casu, P. Giaccone, Marco Ricca
Many power-aware resource allocation problems in packet networks can be modeled as single-server queueing systems, in which the power consumption depends on the actual service rate. We consider the scenario in which the queue service rate is controlled to minimize server power consumption. We show that power control methods that tune the service rate by using the queue length or the arrival rate exhibit a non-monotonic curve of delay vs. load. This may lead to malfunctioning in end-to-end flow/congestion control protocols, which are based on the assumption that delays increase with increasing load. We propose a new policy, in which the service rate is changed while keeping almost flat the delay curve, which permits to achieve a close-to-optimal trade-off between power and delay.
{"title":"Joint delay and power control in single-server queueing systems","authors":"A. Bianco, M. Casu, P. Giaccone, Marco Ricca","doi":"10.1109/OnlineGreenCom.2013.6731028","DOIUrl":"https://doi.org/10.1109/OnlineGreenCom.2013.6731028","url":null,"abstract":"Many power-aware resource allocation problems in packet networks can be modeled as single-server queueing systems, in which the power consumption depends on the actual service rate. We consider the scenario in which the queue service rate is controlled to minimize server power consumption. We show that power control methods that tune the service rate by using the queue length or the arrival rate exhibit a non-monotonic curve of delay vs. load. This may lead to malfunctioning in end-to-end flow/congestion control protocols, which are based on the assumption that delays increase with increasing load. We propose a new policy, in which the service rate is changed while keeping almost flat the delay curve, which permits to achieve a close-to-optimal trade-off between power and delay.","PeriodicalId":152857,"journal":{"name":"2013 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116671450","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}
Pub Date : 2013-10-01DOI: 10.1109/OnlineGreenCom.2013.6731032
K. Gomez, C. Sengul, N. Bayer
Although several works in the literature promise signigicant energy savings for wireless access infrastructures through energy-saving strategies, the number of implementations in real systems is limited, if not zero. This is mainly due to the lack of hardware and software support, especially for monitoring and controlling the wireless access devices. In this demo, we present an energy-saving framework that fills this gap and enables testing and evaluating different energy-saving strategies in a real deployment. We show the feasibility of our framework using an implementation of an energy-saving decision algorithm, Morfeo. In our demo, Morfeo uses the proposed framework to tune the energy consumption of a wireless access testbed to the actual network conditions determined by the user density and traffic.
{"title":"Energy-saving framework for wireless access infrastructures","authors":"K. Gomez, C. Sengul, N. Bayer","doi":"10.1109/OnlineGreenCom.2013.6731032","DOIUrl":"https://doi.org/10.1109/OnlineGreenCom.2013.6731032","url":null,"abstract":"Although several works in the literature promise signigicant energy savings for wireless access infrastructures through energy-saving strategies, the number of implementations in real systems is limited, if not zero. This is mainly due to the lack of hardware and software support, especially for monitoring and controlling the wireless access devices. In this demo, we present an energy-saving framework that fills this gap and enables testing and evaluating different energy-saving strategies in a real deployment. We show the feasibility of our framework using an implementation of an energy-saving decision algorithm, Morfeo. In our demo, Morfeo uses the proposed framework to tune the energy consumption of a wireless access testbed to the actual network conditions determined by the user density and traffic.","PeriodicalId":152857,"journal":{"name":"2013 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123562838","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}
Pub Date : 2013-10-01DOI: 10.1109/OnlineGreenCom.2013.6731030
A. Muhammad, P. Monti, I. Cerutti, L. Wosinska, P. Castoldi
Energy and resource efficiency are two contrasting objectives to optimize in dynamic and survivable optical networks. Known solutions for improving the energy efficiency include the use of the shared path-protection (SPP) mechanism and of a low power consuming mode (i.e., sleep) for protection resources. On the other hand, resource efficiency can be improved by introducing the concept of Differentiated Reliability (DiR) which can be combined with SPP in order to match the level of provisioned protection resources to the reliability requirements for each specific demand. This paper assesses the energy efficiency of the DiR concept combined with SPP and sleep mode support. A multi-objective optimization algorithm is proposed with the intent of jointly optimizing the energy and resource efficiency when dynamically establishing lightpaths with specific reliability levels. Simulation results show that when the proposed multi-objective cost function is properly tuned, not only the SPP-based DiR approach reduces the blocking probability but it is also able to save power for any network load. By enabling sleep mode additional power savings can be achieved at low loads, leading to an overall saving of up to 25%.
{"title":"Reliability differentiation in energy efficient optical networks with shared path protection","authors":"A. Muhammad, P. Monti, I. Cerutti, L. Wosinska, P. Castoldi","doi":"10.1109/OnlineGreenCom.2013.6731030","DOIUrl":"https://doi.org/10.1109/OnlineGreenCom.2013.6731030","url":null,"abstract":"Energy and resource efficiency are two contrasting objectives to optimize in dynamic and survivable optical networks. Known solutions for improving the energy efficiency include the use of the shared path-protection (SPP) mechanism and of a low power consuming mode (i.e., sleep) for protection resources. On the other hand, resource efficiency can be improved by introducing the concept of Differentiated Reliability (DiR) which can be combined with SPP in order to match the level of provisioned protection resources to the reliability requirements for each specific demand. This paper assesses the energy efficiency of the DiR concept combined with SPP and sleep mode support. A multi-objective optimization algorithm is proposed with the intent of jointly optimizing the energy and resource efficiency when dynamically establishing lightpaths with specific reliability levels. Simulation results show that when the proposed multi-objective cost function is properly tuned, not only the SPP-based DiR approach reduces the blocking probability but it is also able to save power for any network load. By enabling sleep mode additional power savings can be achieved at low loads, leading to an overall saving of up to 25%.","PeriodicalId":152857,"journal":{"name":"2013 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126269475","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}
Pub Date : 2013-10-01DOI: 10.1109/OnlineGreenCom.2013.6731046
A. Barbato, Marica Barrano, A. Capone, N. Figiani
In the near future, the IPv6 protocol is expected to provide internet connectivity to any object embedding a communication device, by creating the so-called Internet of Things (IoT). In this scenario, IPv6 Wireless Sensor Networks (WSNs) have a key role since they can be used to collect several environment information, hence becoming the eyes, ears and nose of the IoT. Since wireless sensors are limited in power, it is essential to design energy efficient WSNs protocols. To this purpose, in this paper, we propose a Resource Oriented and Energy Efficient (ROEE) routing protocol based on the Routing Protocol for Low power and Lossy networks (RPL). ROEE RPL is intended as the very first building block to achieve the so called IoT. Simulation results show that our protocol has better performance than the basic RPL in terms of energy efficiency without compromising the network throughput.
{"title":"Resource oriented and energy efficient routing protocol for IPv6 wireless sensor networks","authors":"A. Barbato, Marica Barrano, A. Capone, N. Figiani","doi":"10.1109/OnlineGreenCom.2013.6731046","DOIUrl":"https://doi.org/10.1109/OnlineGreenCom.2013.6731046","url":null,"abstract":"In the near future, the IPv6 protocol is expected to provide internet connectivity to any object embedding a communication device, by creating the so-called Internet of Things (IoT). In this scenario, IPv6 Wireless Sensor Networks (WSNs) have a key role since they can be used to collect several environment information, hence becoming the eyes, ears and nose of the IoT. Since wireless sensors are limited in power, it is essential to design energy efficient WSNs protocols. To this purpose, in this paper, we propose a Resource Oriented and Energy Efficient (ROEE) routing protocol based on the Routing Protocol for Low power and Lossy networks (RPL). ROEE RPL is intended as the very first building block to achieve the so called IoT. Simulation results show that our protocol has better performance than the basic RPL in terms of energy efficiency without compromising the network throughput.","PeriodicalId":152857,"journal":{"name":"2013 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126027450","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}
Pub Date : 2013-10-01DOI: 10.1109/OnlineGreenCom.2013.6731043
M. Celidonio, D. D. Zenobio, E. Fionda, L. Pulcini, E. Sergio
The EDISON project', funded under the 7th Framework Programme for Research and Technological Development (FP7), has the ambitious goal to demonstrate, through targeted Pilot actions implemented in different European countries, that an innovative ICT-based solution for lighting infrastructure may improve energy efficiency, reduce CO2 emissions and encourage the use of small-scale renewable energy sources in public buildings. The proposed solution is based on the use of Solid State Lamps (SSLs) combined with a particular method of providing power to them, in order to realize a Smart Energy Platform (SEP) designed to directly contribute to reducing energy losses and consumption in building lighting.
{"title":"The EDISON project: Enhanced energy saving solution for lighting using DC power supply","authors":"M. Celidonio, D. D. Zenobio, E. Fionda, L. Pulcini, E. Sergio","doi":"10.1109/OnlineGreenCom.2013.6731043","DOIUrl":"https://doi.org/10.1109/OnlineGreenCom.2013.6731043","url":null,"abstract":"The EDISON project', funded under the 7th Framework Programme for Research and Technological Development (FP7), has the ambitious goal to demonstrate, through targeted Pilot actions implemented in different European countries, that an innovative ICT-based solution for lighting infrastructure may improve energy efficiency, reduce CO2 emissions and encourage the use of small-scale renewable energy sources in public buildings. The proposed solution is based on the use of Solid State Lamps (SSLs) combined with a particular method of providing power to them, in order to realize a Smart Energy Platform (SEP) designed to directly contribute to reducing energy losses and consumption in building lighting.","PeriodicalId":152857,"journal":{"name":"2013 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116321690","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}
Pub Date : 2013-10-01DOI: 10.1109/OnlineGreenCom.2013.6731048
Saima Abdullah, Kun Yang
Internet of Things (IoT) is a novel approach of connecting things/objects and thus transmitting information from the physical world to control centres (or vice versa) where this information can be interpreted. Where majority of the research focuses on sensor technologies (including energy harvesting), communications and routing, this paper positions itself on a higher layer, i.e., message scheduling, which is more targeted towards service provisioning. In particular messages are classified into high priority (HP) and best effort (BE) and the corresponding Quality of Service (QoS) scheduling algorithm is proposed. Doing so will enable the IoT network to differ emergency messages from non-mission critical messages. In addition, network-layer routing algorithms are also taken into consideration in message scheduling, aiming to provide a more optimal solution by applying certain degree of cross-layer design methodology. Here sensor nodes are divided in IoT subgroups. Each subgroup has a broker delivering for all nodes and maintaining two queues for HP and BE messages respectively. QoS awareness is introduced in IoT subgroups by assigning traffic priorities and scheduling them with proposed algorithm making them energy efficient as well. Simulation results have shown the efficiency of the proposed algorithm.
{"title":"A QoS aware message scheduling algorithm in Internet of Things environment","authors":"Saima Abdullah, Kun Yang","doi":"10.1109/OnlineGreenCom.2013.6731048","DOIUrl":"https://doi.org/10.1109/OnlineGreenCom.2013.6731048","url":null,"abstract":"Internet of Things (IoT) is a novel approach of connecting things/objects and thus transmitting information from the physical world to control centres (or vice versa) where this information can be interpreted. Where majority of the research focuses on sensor technologies (including energy harvesting), communications and routing, this paper positions itself on a higher layer, i.e., message scheduling, which is more targeted towards service provisioning. In particular messages are classified into high priority (HP) and best effort (BE) and the corresponding Quality of Service (QoS) scheduling algorithm is proposed. Doing so will enable the IoT network to differ emergency messages from non-mission critical messages. In addition, network-layer routing algorithms are also taken into consideration in message scheduling, aiming to provide a more optimal solution by applying certain degree of cross-layer design methodology. Here sensor nodes are divided in IoT subgroups. Each subgroup has a broker delivering for all nodes and maintaining two queues for HP and BE messages respectively. QoS awareness is introduced in IoT subgroups by assigning traffic priorities and scheduling them with proposed algorithm making them energy efficient as well. Simulation results have shown the efficiency of the proposed algorithm.","PeriodicalId":152857,"journal":{"name":"2013 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121050856","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}
Pub Date : 2013-10-01DOI: 10.1109/OnlineGreenCom.2013.6731024
Hong Yang, T. Marzetta
Energy efficiency and spectral efficiency of a Large Scale Antenna System in both dense urban and suburban multi-macro-cellular scenarios are quantified using a new total energy efficiency model, which consists of a rigorous capacity lower bound and a power model accounting for RF generation, LSAS critical computing and a per antenna internal power consumption for other analog electronics and A/D and D/A converters that are associated with each LSAS service antenna. Based on our model, in dense urban, an LSAS with sixty-four OdB gain service antennas per cell, each service antenna consuming an internal power of 128 mW above the power required for RF generation and for LSAS critical computing, can simultaneously serve 15 users with a total energy efficiency almost 1000 times greater than that of a typical LTE base station and at the same time more than quadruple the aggregate spectral efficiency.
{"title":"Total energy efficiency of cellular large scale antenna system multiple access mobile networks","authors":"Hong Yang, T. Marzetta","doi":"10.1109/OnlineGreenCom.2013.6731024","DOIUrl":"https://doi.org/10.1109/OnlineGreenCom.2013.6731024","url":null,"abstract":"Energy efficiency and spectral efficiency of a Large Scale Antenna System in both dense urban and suburban multi-macro-cellular scenarios are quantified using a new total energy efficiency model, which consists of a rigorous capacity lower bound and a power model accounting for RF generation, LSAS critical computing and a per antenna internal power consumption for other analog electronics and A/D and D/A converters that are associated with each LSAS service antenna. Based on our model, in dense urban, an LSAS with sixty-four OdB gain service antennas per cell, each service antenna consuming an internal power of 128 mW above the power required for RF generation and for LSAS critical computing, can simultaneously serve 15 users with a total energy efficiency almost 1000 times greater than that of a typical LTE base station and at the same time more than quadruple the aggregate spectral efficiency.","PeriodicalId":152857,"journal":{"name":"2013 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123045913","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}
Pub Date : 2013-07-03DOI: 10.1109/OnlineGreenCom.2013.6731037
F. Héliot, M. Imran, R. Tafazolli
Energy efficiency (EE) is growing in importance as a key performance indicator for designing the next generation of communication systems. Equally, resource allocation is an effective approach for improving the performance of communication systems. In this paper, we propose a low-complexity energy-efficient resource allocation method for the orthogonal multi-antenna multi-carrier channel. We derive explicit formulations of the optimal rate and energy-per-bit consumption for the per-antenna transmit power constrained and per-antenna rate constrained EE optimization problems as well as provide a low-complexity algorithm for optimally allocating resources over the orthogonal multi-antenna multi-carrier channel. We then compare our approach against a classic optimization tool in terms of energy efficiency as well as complexity, and results indicate the optimality and low-complexity of our approach. Comparing EE-optimal with spectral efficiency and power optimal allocation approaches over the orthogonal multi-antenna multi-carrier channel indicates that the former provides a good trade-off between power consumption and sum-rate performances.
{"title":"Energy-efficient resource allocation for orthogonal multi-antenna multi-carrier channel","authors":"F. Héliot, M. Imran, R. Tafazolli","doi":"10.1109/OnlineGreenCom.2013.6731037","DOIUrl":"https://doi.org/10.1109/OnlineGreenCom.2013.6731037","url":null,"abstract":"Energy efficiency (EE) is growing in importance as a key performance indicator for designing the next generation of communication systems. Equally, resource allocation is an effective approach for improving the performance of communication systems. In this paper, we propose a low-complexity energy-efficient resource allocation method for the orthogonal multi-antenna multi-carrier channel. We derive explicit formulations of the optimal rate and energy-per-bit consumption for the per-antenna transmit power constrained and per-antenna rate constrained EE optimization problems as well as provide a low-complexity algorithm for optimally allocating resources over the orthogonal multi-antenna multi-carrier channel. We then compare our approach against a classic optimization tool in terms of energy efficiency as well as complexity, and results indicate the optimality and low-complexity of our approach. Comparing EE-optimal with spectral efficiency and power optimal allocation approaches over the orthogonal multi-antenna multi-carrier channel indicates that the former provides a good trade-off between power consumption and sum-rate performances.","PeriodicalId":152857,"journal":{"name":"2013 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126503128","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}
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