Uplink energy efficiency in LTE systems

Pons, Xavier; Palacios, Raul; Gruet, Christophe; Naviner, Lírida Alves de Barros; Marques, Hugo; Granelli, Fabrizio; Rodriguez, Jonathan

doi:10.1109/camad.2013.6708099

Cited by 3 publications

(4 citation statements)

References 10 publications

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“…In particular, we consider the impact of path-loss on the required transmission power as described in Eq. 14, following the work of [44]. From this test study, we notice how the heatmap gradient reflects an increase in power transmission required to achieve larger SNR values and, in turn, the possibility to adopt higher Modulation and Coding Schemes (MCS), as function of the distance from the robot and the serving base station.…”

Section: Scenario Characterization and Sensitivity Analysismentioning

confidence: 83%

“…where G A T x and G A Rx are the antenna gains at transmitter and receiver, i.e., robot and BS, respectively, L C T x and L C Rx are the corresponding cable losses, and SN R T arget is the target SNR at the receiver side. Based on the results and findings of [44], we assume the transmission power consumption of the BB processing P T xBB to be approximately 2.12 W, and set L C T x and L C Rx 0dB and 0dB, respectively, and assign G A T x and G A Rx 10dB and 10dB, respectively. In case of downlink transmission (DL), we consider an average value of 4W according to the measurements of [38], and assume the receiving module always on, to enable reachability of the robot devices with control messages at any time.…”

Section: Scenario Setup and Methodologymentioning

confidence: 99%

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OROS: Online Operation and Orchestration of Collaborative Robots Using 5G

Romero,

Delgado,

Zanzi

et al. 2023

IEEE Trans. Netw. Serv. Manage.

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The 5G mobile networks extend the capability for supporting collaborative robot operations in outdoor scenarios. However, the restricted battery life of robots still poses a major obstacle to their effective implementation and utilization in real scenarios. One of the most challenging situations is the execution of mission-critical tasks that require the use of various onboard sensors to perform simultaneous localization and mapping (SLAM) of unexplored environments. Given the time-sensitive nature of these tasks, completing them in the shortest possible time is of the highest importance. In this paper, we analyze the benefits of 5G-enabled collaborative robots by enhancing the intelligence of the robot operation through joint orchestration of Robot Operating System (ROS) and 5G resources for energysaving goals, addressing the problem from both offline and online manners. We propose OROS, a novel orchestration approach that minimizes mission-critical task completion times as well as overall energy consumption of 5G-connected robots by jointly optimizing robotic navigation and sensing together with infrastructure resources. We validate our 5G-enabled collaborative framework by means of Matlab/Simulink, ROS software and Gazebo simulator. Our results show an improvement between 3.65% and 11.98% in exploration task by exploiting 5G orchestration features for battery savings when using 3 robots.

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Section: Scenario Characterization and Sensitivity Analysismentioning

confidence: 83%

Section: Scenario Setup and Methodologymentioning

confidence: 99%

OROS: Online Operation and Orchestration of Collaborative Robots Using 5G

Romero,

Delgado,

Zanzi

et al. 2023

IEEE Trans. Netw. Serv. Manage.

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show abstract

“…To that end, the number of available data resource elements (REs) of resource blocks (RBs) belonging to the Physical Uplink Control Channel (PUCCH) is computed. Notice that the number of transmitted useful bits in each RE also depends on the used modulation and coding scheme (MCS), as explained in [14].…”

Section: A Lte Energy Efficiency Calculationmentioning

confidence: 99%

“…For further information on the UL energy efficiency calculation in LTE, the reader may refer to [14].…”

Section: A Lte Energy Efficiency Calculationmentioning

confidence: 99%

An energy efficient vertical handover decision algorithm

Pons

Mesοdiakaki

Gruet

et al. 2014

2014 IEEE Globecom Workshops (GC Wkshps)

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As wireless communications evolve towards heterogeneous networks, mobile terminals have been enabled to handover seamlessly from one network to another. At the same time, the continuous increase in the terminal power consumption has resulted in an ever-decreasing battery lifetime. To that end, the network selection is expected to play a key role on how to minimize the energy consumption, and thus to extend the terminal lifetime. Hitherto, terminals select the network that provides the highest received power. However, it has been proved that this solution does not provide the highest energy efficiency. Thus, this paper proposes an energy efficient vertical handover algorithm that selects the most energy efficient network that minimizes the uplink power consumption. The performance of the proposed algorithm is evaluated through extensive simulations and it is shown to achieve high energy efficiency gains compared to the conventional approach.Index Terms-Energy efficiency, vertical handover, handover decision algorithm, LTE, Wi-Fi.

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