TDMA-based MAC protocols proposed in [3,4] mainly focus on throughput optimization by generating optimal TDMA schedule considering efficient slot reuse.
The optimal value of transmit power for throughput optimization can be presented as below begin{array}{cc} P_{mathcal{R}}^{opt}=&{arg mathop {max }limits_{{P_{mathcal{R}}}} left{ {{tau^{DC}}left({{P_{mathcal{R}}}} right)} right}} mathrm{s.t}&{0 le {P_{mathcal{R}}}}.
Research areas: Wireless networks and systems including cross-layer considerations, full-duplex, multicast video, throughput optimization, energy-harvesting, and Medium Access Control.
As to the network layer sub-problem, we use linear programming technique for throughput optimization.
The performance parameters are derived through exhaustive analytical study based on a Markovian model of finite population, while the throughput optimization conditions are analytically investigated.
This paper is intended to formulate the so-called production lead time problem as the problem of throughput optimization under a constraint on production lead time.
In this paper, we investigate throughput optimization in 2×2 multi-input multi-output (MIMO) systems using channel quality indicator (CQI) based scheduling.
Based on this, we formulate a cross-layer association control, throughput optimization and contention resolution problem whose objective is to allocate downlink throughput according to the proportional fairness principle.
We first solve multicast throughput optimization problem in concurrent multicast flows and show that the throughput can be improved by seeking the multicast route with lower channel congestion degree.
First, by formulating the optimization model and digging up its special structure, we show that the throughput maximization problem can be decomposed into two sub-problems: a channel allocation and power control sub-problem at the link-physical layer, and a throughput optimization sub-problem at the network layer.
Algorithm 1 Throughput optimization.
