3,798 research outputs found
Quantifying Potential Energy Efficiency Gain in Green Cellular Wireless Networks
Conventional cellular wireless networks were designed with the purpose of
providing high throughput for the user and high capacity for the service
provider, without any provisions of energy efficiency. As a result, these
networks have an enormous Carbon footprint. In this paper, we describe the
sources of the inefficiencies in such networks. First we present results of the
studies on how much Carbon footprint such networks generate. We also discuss
how much more mobile traffic is expected to increase so that this Carbon
footprint will even increase tremendously more. We then discuss specific
sources of inefficiency and potential sources of improvement at the physical
layer as well as at higher layers of the communication protocol hierarchy. In
particular, considering that most of the energy inefficiency in cellular
wireless networks is at the base stations, we discuss multi-tier networks and
point to the potential of exploiting mobility patterns in order to use base
station energy judiciously. We then investigate potential methods to reduce
this inefficiency and quantify their individual contributions. By a
consideration of the combination of all potential gains, we conclude that an
improvement in energy consumption in cellular wireless networks by two orders
of magnitude, or even more, is possible.Comment: arXiv admin note: text overlap with arXiv:1210.843
DyMo: Dynamic Monitoring of Large Scale LTE-Multicast Systems
LTE evolved Multimedia Broadcast/Multicast Service (eMBMS) is an attractive
solution for video delivery to very large groups in crowded venues. However,
deployment and management of eMBMS systems is challenging, due to the lack of
realtime feedback from the User Equipment (UEs). Therefore, we present the
Dynamic Monitoring (DyMo) system for low-overhead feedback collection. DyMo
leverages eMBMS for broadcasting Stochastic Group Instructions to all UEs.
These instructions indicate the reporting rates as a function of the observed
Quality of Service (QoS). This simple feedback mechanism collects very limited
QoS reports from the UEs. The reports are used for network optimization,
thereby ensuring high QoS to the UEs. We present the design aspects of DyMo and
evaluate its performance analytically and via extensive simulations.
Specifically, we show that DyMo infers the optimal eMBMS settings with
extremely low overhead, while meeting strict QoS requirements under different
UE mobility patterns and presence of network component failures. For instance,
DyMo can detect the eMBMS Signal-to-Noise Ratio (SNR) experienced by the 0.1%
percentile of the UEs with Root Mean Square Error (RMSE) of 0.05% with only 5
to 10 reports per second regardless of the number of UEs
- …