Energy efficiency-area spectral efficiency tradeoff in PPP network with SLNR precoder

Asymptotic Analysis of Area Spectral Efficiency and Energy Efficiency in PPP Networks With SLNR Precoder

“…The authors of [10] have used the stochastic geometry tool to study the relation between ASE and different system parameters considering a ZF precoder, which is found to perform worse than the SLNR precoder in terms of the energy efficiency-area spectral efficiency (EE-ASE) tradeoff [23]. Most of the previous works dealing with stochastic geometry to analyze the network performances, have considered either a maximal ratio transmission or ZF precoder [10]- [12], [24].…”

“…Most of the previous works dealing with stochastic geometry to analyze the network performances, have considered either a maximal ratio transmission or ZF precoder [10]- [12], [24]. In our recent work [23], the achievable EE-ASE tradeoff obtained with ZF and SLNR for a PPP network has been studied. SLNR reveals to achieve a better EE-ASE tradeoff than ZF due to the fact that the latter does not deal with the inter-cell interference and also decreases the received desired signal power when the channel vectors of the selected user subset are not orthogonal.…”

“…SLNR reveals to achieve a better EE-ASE tradeoff than ZF due to the fact that the latter does not deal with the inter-cell interference and also decreases the received desired signal power when the channel vectors of the selected user subset are not orthogonal. However, the results in [23] have been obtained thanks to extensive Monte Carlo simulations. In contrast to [23], a theoretical analysis considering the SLNR precoder for PPP network is proposed in this paper, which has never been done in literature to the best of our knowledge.…”

“…However, the results in [23] have been obtained thanks to extensive Monte Carlo simulations. In contrast to [23], a theoretical analysis considering the SLNR precoder for PPP network is proposed in this paper, which has never been done in literature to the best of our knowledge.…”

“…Nonnormalized precoding matrix G 0 can be chosen as the pseudoinverse of H 0 , which for u 0 ≤ M can be written as [23] …”