Maximizing the link throughput between smart meters and aggregators as secondary users under power and outage constraints

This paper assesses the communication link from smart meters to aggregators as (unlicensed) secondary users that transmit their data over the (licensed) primary uplink channel. The proposed scenario assumes: (i) meters’ and aggregators’ positions are fixed so highly directional antennas are employed...

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Bibliographic Details
Published in:Ad hoc networks 2016-05, Vol.41, p.57-68
Main Authors: Nardelli, Pedro H.J., de Castro Tomé, Mauricio, Alves, Hirley, de Lima, Carlos H.M., Latva-aho, Matti
Format: Article
Language:English
Subjects:
Channels
Cognitive network
Exact solutions
Interference
Links
Mathematical models
Measuring instruments
Meters
Outages
Poisson point process
Smart grid communication
Spectrum sharing
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Summary:This paper assesses the communication link from smart meters to aggregators as (unlicensed) secondary users that transmit their data over the (licensed) primary uplink channel. The proposed scenario assumes: (i) meters’ and aggregators’ positions are fixed so highly directional antennas are employed, (ii) secondary users transmit with limited power in relation to the primary, (iii) meters’ transmissions are coordinated to avoid packet collisions, and (iv) the secondary links’ robustness is guaranteed by an outage constraint. Under these assumptions, the interference caused by secondary users in both primary (base-stations) and other secondary users can be neglected. As unlicensed users, however, meter–aggregator links do experience interference from the mobile users of the primary network, whose positions and traffic activity are unknown. To cope with this uncertainty, we model the mobile users spatial distribution as a Poisson point process. We then derive a closed-form solution for the maximum achievable throughput with respect to a reference secondary link subject to transmit power and outage constraints. Our numerical results illustrate the effects of such constraints on the optimal throughput, evincing that more frequent outage events improve the system performance in the scenario under study. We also show that relatively high outage probabilities have little effect on the reconstruction of the average power demand curve that is transmitted from the smart meter to the aggregator.
ISSN:1570-8705
1570-8713
DOI:10.1016/j.adhoc.2015.11.003