Optimization Of Serveral Key Technologies In Radio Resource Allocation Of Cellular Heterogeneous Networks

In order to meet the challenge of data rate demand brought by new busi-ness and multi-media services,cellular heterogeneous network(HetNet),as an evolvement of traditional cellular network structure,will play amore significant role.HetNet introduces more complex interference types and user association strategy,in addition,it also rises the complexity of resource management and network operation and maintenance costs.Aiming issues above,this disserta-tion will study how to further optimize the performance of cellular HetNets.This dissertation develops a novel scheme of game theory based spectrum sharing to mitigate the inter-cell interference in LTE-A(Long Term Evolution-Advanced)heterogeneous networks.In particular,we first assume that the macro-cell protects itself by pricing the bandwidth allocated to small-cells.We then employ the Stackelberg game to jointly consider the utility maximization of macrocell and small-cells.During game formulation,our scheme takes the ad-vantage of enhanced inter-cell interference coordination(eICIC)and cell range expansion(CRE)for small cell.Simulation results justify that our approach can significantly improve the throughput of multi-tier cellular network as well as leverage the spectral efficiency of the macro-users in the vicinity of small-cells.This dissertation presents an improved downlink Signal to Interference plus Noise Ratio estimation method together with a corresponding resource al-location scheme for Low Power Nodes(LPNs)in Heterogeneous Networks.Cognitive Radio(CR)is introduced to construct a distributed adaptive chan-nel evaluation model.The work makes use of the Frequency Domain Packet Scheduling(FDPS)implementation in resource block level without CQI report from UEs.Simulation results show that the proposed scheme can achieve con-siderable performance improvement in OFDMA based HetNets.This dissertation aims at future HetNets and presents a novel scheme of adaptive self-organization network(SON)by integrating cognitive radio with inter-cell interference coordination(ICIC).Particularly,we combine the spec-trum sensing function from CR and the radio resource layering function from ICIC.Our work addresses the issues of smart low-power node(SLPN)devel-opment and further develops a Hungary algorithm based self-organization strat-egy to improve the SLPN adaptive optimization.Simulation results show that our proposed scheme can achieve considerable gain in terms of throughput and coverage,with extra rewards of high flexibility and low complexity in HetNet SON.