Abstract

Abstract Network energy efficiency (NEE) is considered as the metric to address the energy efficiency problem in the cooperative multi-cell systems in this article. At first, three typical schemes with different levels of cooperation, i.e., interference aware game theory, inter-cell interference cancellation, and multi-cell joint processing, are discussed. For both unconstrained and constrained case, efficient power control strategies are developed to maximize the NEE. During the optimization, both the optimization objects and strategies are distinct because of different levels of data and channel state information at the transmitter sharing. In order to further improve NEE, a novel cooperative idling (CI) scheme is proposed through cooperatively switching some BSs into micro-sleep and guaranteeing the data transmission with the other active BSs' cooperative transmission. Simulation results indicate that cooperation can improve both NEE and network capacity and demonstrate that CI can further improve the NEE significantly.

Highlights

  • Data service has become the key application in the generation wireless networks, such as 3GPP-LTE and WiMAX

  • There is a rich body of works [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16] focusing on maximizing the link energy efficiency (LEE) of the single cell systems

  • Network energy efficiency (NEE) is addressed as the performance metric to evaluate the EE of the coordinated multipoint (CoMP) systems, which is defined as sum capacity in the cooperative cluster divided by the total base stations (BS) power consumption of the cluster

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Summary

Introduction

Data service has become the key application in the generation wireless networks, such as 3GPP-LTE and WiMAX. Network energy efficiency (NEE) is addressed as the performance metric to evaluate the EE of the CoMP systems, which is defined as sum capacity in the cooperative cluster divided by the total BS power consumption of the cluster. Unconstrained maximizing NEE problem is addressed at first and the energy efficient transmit power optimization with different levels of cooperation is discussed. I.e., multi-cell joint processing (MC-JP), needs the highest level of cooperation, in which both CSIT and data sharing are required. Joint precoding and cooperative power control should be used to fully exploit the inter-cell interference and the highest NEE and NC can be both acquired. For the three schemes, higher level of cooperation can increase both NEE and NC because of better exploiting inter-cell interference. The superscript H and T represent the conjugate transpose and transpose operation, respectively

System model
Interference aware game theory
Inter-cell interference cancellation
Simulation results
Findings
Conclusion
Full Text
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