These results prove the control-system stability and the comparative suitability of classic controllers to keep the multimedia-system consumption close to the desired value in steady state with settling times as short as a single sample interval. Resource allocation and power optimization is a new challenge in multimedia services in cellular communication systems. He is a founder of the Network Control Research activity with extensive international academic and industrial collaborations. Transition probability matrix 81 3. State 1 to state 1, state 1 to state 2 and state 1 to state 3 61 2. Channel quality indicator 8 1.
Three-state fixed model 47 2. The benefit of closed-loop power control is the higher homogeneity in terms of throughput across the entire network area and the ability to automatically stabilize the network performance under different conditions like cell load and traffic distribution. A comprehensive analysis is performed to study the specified sleep mode with generalized traffic processes. State 2 to state 1, state 2 to state 2 and state 2 to state 3 61 2. Sleep states H2 and H3 51 2. Simulation results in a fully loaded network show high throughput for open-loop fractional power control for the user located in the vicinity of the serving eNodeB, however, steep performance degradation has been observed when the user is moving towards the cell edge. Sleep states H2 and H3 51 2.
This study demonstrates the effect of distance path-loss of a test user on several physical layer performance metrics including throughput, resource allocation as well as modulation and coding scheme utilization. He is a founder of the Network Control Research activity with extensive international academic and industrial collaborations. Four-state fixed model 60 2. The numerical results of the proposed model show 3. Sleep states H3 and H4 65 2.
We then propose an enhanced scheme to offer favorable performance tradeoff by adaptively adjusting the sleep windows. Transition probability matrix 63 2. . We successfully show that these two proposed mechanisms can exhibit much more flexibility than the closely related mechanisms in the literature. Summary of the Three-state model 59 2.
Performance is measured in terms of both average cell throughput and cell edge user throughput. Transition probability matrix 50 2. The numerical result indicates that the new policy can significantly reduce power consumption. This paper presents a dynamic spectrum sharing algorithm to minimize the inter-cell interference, so as to achieve a high system performance. A comprehensive system level simulation model has been used with a facility to trace a particular test user during its motion from eNodeB towards the cell border and back to its initial position. However, these data-heavy applications require lots of battery power on the user equipment. Energy consumption by wireless communication systems is a vital concern in the present world, not merely to reduce energy consumption but also to mitigate environmental degradation due to effluence caused by extreme energy consumption.
Sleep states H3 and H4 65 2. Post video and live video preliminary capacity 15 1. Based on the analytical model, we will show the trade-off relationship between the power saving and wake-up delay performance. About the Authors Scott A. Transition probability matrix 63 2. Video conversation preliminary capacity 14 1.
Stochastic-based Markov model has been selected to model the randomly changing communication process. While new higher-capacity batteries are being developed, techniques to control, i. Further studies can help deep dive into operationalizing this on a mass scale. State 3 to state 1, state 3 to state 2 and state 3 to state 4 62 2. In recent years, energy efficiency has become a major cause of concern in mobile networks. Naomi Yamada is a research associate at Linkoping University, Sweden.
It considers the fact that real data traffic is bursty. State 2 to state 1 and state 2 to state 3 80 3. Three-state fixed model 47 2. Autonomy periods are increasingly compromised as the complexity of tasks, such as the widespread video decoding ones, is also increased. Transition probability matrix 50 2. Existing analytical models did not comprehensively consider all essential sleep mode behaviors. State 2 to state 1 and state 2 to state 3 49 2.
State 3 to state 1, state 3 to state 2 and state 3 to state 4 62 2. State 1 to state 1 and state 1 to state 2 38 2. The performance metrics are derived with respect to energy consumption and packet delay to evaluate the tradeoff in the energy management strategy. Sleep states H2 and H3 83 3. Channel quality indicator 8 1. Resource allocation and power optimization is a new challenge in multimedia services in cellular communication systems.