TY - GEN

T1 - Delay-QoS-driven spectrum and energy efficiency tradeoff

AU - Musavian, Leila

AU - Ni, Qiang

PY - 2014/6

Y1 - 2014/6

N2 - This paper presents a delay-QoS-driven spectrum and energy efficiency optimization transmission technique. In particular, considering the cross-layer effective capacity (EC) model in Rayleigh fading channels, a spectrum- and energy-efficient power allocation strategy is proposed when maximum spectrum efficiency is achieved under minimum energy efficiency (EE) requirement. For this purpose, at a target delay-outage probability, the spectrum efficiency is measured by the EC. Further, the EE is formulated as the ratio of the EC to the total expenditure power. At first, the maximum achievable EE of the link at the target delay-outage probability is found. Then, the optimal power allocation strategy is obtained to maximize the EC subject to a minimum EE constraint set at a certain ratio of the maximum achievable EE. We prove that the optimizationproblem is a concave maximization problem and develop the global optimal solution. The analytical results show that a considerable EC-gain can be achieved with a small sacrifice in EE. This gain increases considerably as the delay constraint becomes tight.

AB - This paper presents a delay-QoS-driven spectrum and energy efficiency optimization transmission technique. In particular, considering the cross-layer effective capacity (EC) model in Rayleigh fading channels, a spectrum- and energy-efficient power allocation strategy is proposed when maximum spectrum efficiency is achieved under minimum energy efficiency (EE) requirement. For this purpose, at a target delay-outage probability, the spectrum efficiency is measured by the EC. Further, the EE is formulated as the ratio of the EC to the total expenditure power. At first, the maximum achievable EE of the link at the target delay-outage probability is found. Then, the optimal power allocation strategy is obtained to maximize the EC subject to a minimum EE constraint set at a certain ratio of the maximum achievable EE. We prove that the optimizationproblem is a concave maximization problem and develop the global optimal solution. The analytical results show that a considerable EC-gain can be achieved with a small sacrifice in EE. This gain increases considerably as the delay constraint becomes tight.

U2 - 10.1109/ICC.2014.6884110

DO - 10.1109/ICC.2014.6884110

M3 - Conference contribution/Paper

SP - 4981

EP - 4986

BT - IEEE International Conference on Communications (ICC 2014)

CY - IEEE

ER -