An energy efficient and spectrum efficient wireless heterogeneous network framework for 5G systems

By Rose Qingyang Hu, Yi Qian. IEEE Communications Magazine, 2014

428 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/78c472dcba60ee7fceed225c3fb88d9df847cf81

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Millimeter Wave Communication: A Comprehensive Survey (2018, background): “Optimization about network spectral and energy efﬁciencies are proposed in [182] and [183], meaning that a comprise between data rates and energy savings should be made.”
Energy-Efficient Base-Stations Sleep-Mode Techniques in Green Cellular Networks: A Survey (2015, background): “Methods based on spectrum management [158] and renewable energy resources [157] have been proposed.”
Next Generation 5G Wireless Networks: A Comprehensive Survey (2016, background): “An overall framework of green HetNets, for balancing energy efficiency and spectral efficiency, is provided in [65].”
Power-Domain Non-Orthogonal Multiple Access (NOMA) in 5G Systems: Potentials and Challenges (2016, methodology): “A system framework of a cooperative HetNet for 5G was recently studied in [68] with the aims of both spectrum efficiency and EE.”
A Survey on Resource Allocation for 5G Heterogeneous Networks: Current Research, Future Trends, and Challenges (2020, background): “tical handover [38], [39], mobile cloud computing [40], the balance of EE and SE [41], QoS and quality of experience (QoE) mechanisms [42], BS switching [43], air interface [44],”
User Association in 5G Networks: A Survey and an Outlook (2015, background): “With the surge of data traffic and limited spectrum resources, a high spectrum efficiency is a mandatory requirement of 5G networks [65].”
Energy Efficiency Tradeoff Mechanism Towards Wireless Green Communication: A Survey (2016, background): “5G and beyond, will be very complex [155].”
A survey on 5G: The next generation of mobile communication (2015, background): “Hu and Qian [62] suggested that a UE must consider the source data rate, delay bound, and delay-violation probability before connecting to a MBS. Open issues.”
Mobility-Aware Edge Caching and Computing in Vehicle Networks: A Deep Reinforcement Learning (2018, background): “Recently, edge caching placements and computing offloading at the vehicles and the road side units (RSUs) have been proposed to efficiently improve the QoS for applications with intensive computations and hard deadlines [6], [7].”