TY - GEN
T1 - On the outage probability of distributed MAC with ZF detection
AU - Kampeas, Joseph
AU - Cohen, Asaf
AU - Gurewitz, Omer
N1 - Publisher Copyright: © 2018 IEEE Information Theory Workshop, ITW 2018. All rights reserved.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Distributed scheduling is an attractive approach for the Multiple-Access Channel (MAC). However, when a subset of the users access the channel simultaneously, distributed rate coordination is necessary, and is a major challenge, since the channel capacity of each user highly depends on the channels of other active users. That is, given a detection technique, e.g., Zero-Forcing (ZF), the rate at which a user can transmit depends on the channels other transmitting users have, a knowledge which is usually unavailable in distributed schemes. Fixing a rate and accepting some outage probability when this rate is too high is common practice in these cases. In this paper, we analyze the outage probability of a distributed, asymptotically optimal threshold-based scheduling algorithm under ZF. We rigorously evaluate the distribution of the relevant projections, and give upper and lower bounds on the outage probability as a function of the algorithm parameters.
AB - Distributed scheduling is an attractive approach for the Multiple-Access Channel (MAC). However, when a subset of the users access the channel simultaneously, distributed rate coordination is necessary, and is a major challenge, since the channel capacity of each user highly depends on the channels of other active users. That is, given a detection technique, e.g., Zero-Forcing (ZF), the rate at which a user can transmit depends on the channels other transmitting users have, a knowledge which is usually unavailable in distributed schemes. Fixing a rate and accepting some outage probability when this rate is too high is common practice in these cases. In this paper, we analyze the outage probability of a distributed, asymptotically optimal threshold-based scheduling algorithm under ZF. We rigorously evaluate the distribution of the relevant projections, and give upper and lower bounds on the outage probability as a function of the algorithm parameters.
UR - http://www.scopus.com/inward/record.url?scp=85062073951&partnerID=8YFLogxK
U2 - https://doi.org/10.1109/ITW.2018.8613472
DO - https://doi.org/10.1109/ITW.2018.8613472
M3 - Conference contribution
T3 - 2018 IEEE Information Theory Workshop, ITW 2018
BT - 2018 IEEE Information Theory Workshop, ITW 2018
T2 - 2018 IEEE Information Theory Workshop, ITW 2018
Y2 - 25 November 2018 through 29 November 2018
ER -