为了实现超密集网络中的绿色通信,提出一种基于能效最优的资源分配算法。首先,在考虑用户服务质量(quality of service,QoS)需求和干扰容限的情况下,建立最大化网络能效的优化问题。其次,为了降低求解原问题的计算复杂度,采用柯西不等式将原优化问题进行松弛,从而转化为非合作博弈问题。进而,在满足最大最小公平(max-min fairness,MMF)准则的情况下,提出一种分布式能效最优算法(distributed EE maximization algorithm,DEMA)。仿真结果表明,所提算法较传统算法可以更好地兼顾系统的能效和吞吐量性能。
Abstract
The energy-efficient resource allocation problem was taken in an ultra-dense network(UDN) consisted of multiple femtocells.Aiming at maximizing the energy efficiency (EE) of the whole network
quality of service (QoS) constraint and interference limitation was considered.Then
the established nonconvex and nonlinear problem was relaxed relying on Cauchy inequality
and was developed into a non-cooperative game.Additionally
a distributed EE maximization algorithm was proposed satisfying the max-min fairness (MMF) criterion.Simulation results show that the proposed algorithm outperformances the existing algorithms in terms of the EE and the throughput.
BUZZI S,CHIH-LIN I , KLEIN T E , et al . A survey of energy-efficient techniques for 5G networks and challenges ahead [J ] . IEEE Journal on Selected Areas in Communications , 2016 , 34 ( 4 ): 697 - 709 .
VENTURINO L , ZAPPONE A , RISI C , et al . Energy-efficient scheduling and power allocation in downlink OFDMA networks with base station coordination [J ] . IEEE Transactions on Wireless Communications , 2015 , 14 ( 1 ): 1 - 14 .
RAMAMONJISON R , BHARGAVA V K . Energy efficiency maximization framework in cognitive downlink two-tier networks [J ] . IEEE Transactions on Wireless Communications , 2015 , 14 ( 3 ): 1468 - 1479 .
WANG S , GE M , ZHAO W . Energy-efficient resource allocation for OFDM-based cognitive radio networks [J ] . IEEE Transactions on Communications , 2013 , 61 ( 8 ): 3181 - 3191 .
LAI W S , CHANG T H , LEE T S . Joint power and admission control for spectral and energy efficiency maximization in heterogeneous OFDMA networks [J ] . IEEE Transactions on Wireless Communications , 2016 , 15 ( 5 ): 3531 - 3547 .
LIU C Y , XING S , HU J , et al . Fair resource allocation for multiple types of services in femto-macro heterogeneous network [J ] . Telecommunications Science , 2015 , 31 ( 9 ): 28 - 34 .
AL-ZAHRANI A , YU F . An energy-efficient resource allocation and interference management scheme in green heterogeneous networks using game theory [J ] . IEEE Transactions on Vehicular Technology , 2016 , 65 ( 7 ): 5384 - 5396 .
BOYD S , VANDENBERGHE L . Convex optimization [M ] . New York : Cambridge University PressPress , 2004 .