in this paper we propose and investigate a cross-layer
multiuser scheduling strategy for the support of heterogeneous traffic in
the downlink of a MIMO-OFDMA system. It jointly considers different
objectives: maximize the sum-rate on the radio channel, ensure a fair
allocation of resources among users belonging to the same traffic class,
consider the dynamics of traffic sources by looking at the delay of
data packets in the queues, contribute to maximize quality of service
figures at the application level. To exploit temporal diversity and to
reduce complexity, the ergodic weighted sum-rate is maximized and dual
optimization with stochastic approximation is applied to derive on-line
algorithms. The numerical results show the capability of the scheduler
to allocate physical layer resources according to rate constraints imposed
for each different traffic class and with fairness inside each class, even
in presence of different channels conditions and different network loads.
CitationTralli, V.; Pérez, A.; Henarejos, P. A cross-layer scheduling strategy for the downlink of a MIMO-OFDMA system with heterogeneous traffic. A: COST 2100. "COST 2100". Viena: 2009.
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