eICIC configuration of Downlink and Uplink Decoupling with SWIPT in 5G Dense IoT HetNets
ABSTARCT :
Interference management and power transfer can provide a significant improvement over the 5th generation mobile networks (5G) dense Internet of Things (IoT) heterogeneous networks (HetNets). In this paper, we present a novel approach to simultaneously manage inferences at the downlink (DL) and uplink (UL), and to identify opportunities for power transfer and additional UL transmissions integrated with existing protocols and infrastructures for enhanced inter-cell interference coordination (eICIC) protocol in dense IoT HetNets, while considering practical non-linear energy harvesting (EH) model. The design is formulated as the joint optimization of interference aware UL/DL decoupling, airtime resource allocation and energy transfer. The key insight of our algorithm is to translate the original, intractable joint-optimization problem into a problem space where a good approximate solution can be quickly found. We evaluate our scheme through theoretical analysis and simulation. The evaluation shows that our approach improves the system utility by over 20% compared to start-of-the-art in dense IoT HetNets. Compared to alternative schemes, our approach maintains the best user fairness and rate experience and can solve the problem in a fast and scalable way.
EXISTING SYSTEM :
? While many papers have appeared in the literature on uplink power control, fewer exist on downlink power setting.
? To our knowledge, the only existing work that investigates downlink power setting in cellular networks with CA support.
? To analyse the behaviour of the above-defined game, and discuss the existence of NEs, we rely on the definition of games of strategic complements/substitutes with aggregation.
? The existing strategies in the main performance metrics, such as energy efficiency, user throughput and spectral efficiency, while consuming little power.
? Our solution outperforms the existing schemes in terms of user throughput, energy and spectral efficiency.
DISADVANTAGE :
? The dynamic ABS configuration is to allocate ABS, and to determine the flexible DL association rules with REB based on the optimization problem of eICIC configuration, which only focus on the DL transmission.
? Our approach can improve the energy problem for IoT, while carrying out the interference coordination between macrocell and smallcell to improve the system rate, especially for the UL rate of IoT UE.
? The investigates the energy efficiency (EE) maximization problem of non-orthogonal multiple-access (NOMA) with non-linear EH model SWIPT in HetNets.
? The global variable z in our problem consists of all the ABS components to be optimized for all MBS and SBS, respectively.
PROPOSED SYSTEM :
• The proposed solution greatly improves network performance by reducing interference and power consumption, while ensuring coverage for as many users as possible.
• In this paper, we proposed a novel solution for downlink power setting in dense networks with carrier aggregation, which aims to reduce interference and power consumption, and to provide high quality of service to users.
• In this paper we do not consider a solution within the framework of eICIC or its modifications, rather we use them as comparison benchmarks for the solutions we propose.
• We propose to leverage the diversity in the component carrier coverage areas to mitigate inter-tier interference by varying their downlink transmit power.
ADVANTAGE :
? This is UM-ABS with DUDe, which exploits the UL transmission for macrocells in ABSs for dynamic eICIC configuration in HetNets, referred to UM-ABS, to improve the system performance.
? The joint scheme with DUDe, multiple region frequency allocation, convergent power control under non-uniform user distribution is proposed to improve the performance of UL.
? Our work aims to improve the overall network performance by considering three optimization strategies: interferenceaware UL/DL decoupling, airtime resource allocation and energy transfer in ultra-dense HetNets.
? This strategy uses the fixed eICIC configuration that gives the best averaged performance across UEs in our evaluation scenarios.
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