Cooperative Hierarchical Cellular Systems in LTE-A Networks

Lu, Ssu-Han; Wang, Li-Chun; Chiang, Tsung-Ting; Chou, Chen-Hsiao

doi:10.1109/jsyst.2013.2296980

“…There are four main benefits of hyper-dense small cell deployments. First, hyperdense small cell deployments increase the network capacity by bringing network closer to the users [28,9]. Second, the spectral efficiency is significantly enhanced by reusing the same set of spectrum resources in a large number of small cells [29].…”

Section: Interworking Of Macrocell and Hyper-dense Small Cell Networkmentioning

confidence: 99%

“…In addition to jointly allocating resources of the small cells, CCI can be managed by allocating almost blank subframes (ABS) [30,31], fractional frequency reuse (FFR) techniques [32,33], and MIMO techniques, such as beamforming and joint decoding [34,35,36,28]. By allocating ABSs, CCI among the small cells cannot be managed as ABSs are allocated by the macrocells to mitigate CCI between the macrocell and Motivations and Thesis Objectives the small cells.…”

Section: Interworking Of Macrocell and Hyper-dense Small Cell Networkmentioning

confidence: 99%

Resource Allocation in Heterogeneous Wireless Networks

Singhal

¹

,

De

²

2019

Paving the Way for 5G Through the Convergence of Wireless Systems

1

0

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The advent of heterogeneous broadband wireless access networks (BWANs) has been to support the ever-increasing cellular networks' data requirements by increasing capacity, spectrum efficiency, and network coverage. The focus of this chapter is to discuss the implementation details (i.e., architecture and network components), issues associated with heterogeneous BWANs (i.e., handovers, network selection, and base station placement), and also the various resource allocation schemes (i.e., shared resource allocation in split handover and inter-RAT self-organizing networks) that can improve the performance of the system by maximizing the network capacity.

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“…Hyper-dense deployment of small cells increases the network capacity by bringing the network closer to the users [1]. At the same time, the spectral efficiency can be enhanced by reusing the same set of spectrum resources in multiple small cells [2].…”

Section: Introductionmentioning

confidence: 99%

“…In addition to jointly allocating resources of the small cells, CCI can be managed by allocating almost blank subframes (ABS) [3], [4], fractional frequency reuse (FFR) techniques [5], [6], and multiple-input and multiple-output (MIMO) techniques, such as beamforming and joint decoding [1], [7]- [9]. By allocating ABSs, CCI among the small cells cannot be managed as ABSs are allocated by the macrocells to mitigate CCI between macro and small cells.…”

Section: Introductionmentioning

confidence: 99%

Cloud Assisted Resource Management for Hyper-Dense Small Cell Networks

Gamage

¹

,

Shen

²

,

Shen

³

2015

2015 IEEE Global Communications Conference (GLOBECOM)

2

0

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Hyper-dense deployment of small cells and reuse of available spectrum resources within a wireless cellular network are two promising techniques that can enhance network capacity to satisfy the ever increasing demand for high volumes of mobile data traffic. With the use of these techniques in a network, the network is prone to severe co-channel interference (CCI), due to short distances between the densely deployed small cells. Therefore, to avoid degradation of the network capacity, it is necessary to manage CCI by jointly allocating resources of the small cells. Further, the resource allocation scheme should minimize the computational burden for low-cost small cell base stations (BSs), be able to adapt to time-varying network load conditions, and reduce signaling overhead in the small cell backhauls with limited capacity. To this end, in this paper we present a resource allocation scheme which operates on two time-scales and utilizes cloud computing to determine resource allocation decisions. The resource allocation decisions are made at the cloud in a slow timescale, and are further optimized at the BSs in a fast time-scale in order to adapt the decisions to fast varying wireless channel conditions. Achievable network capacity enhancements using the proposed scheme are demonstrated through simulation results.

show abstract

“…In addition to jointly allocating resources of the small cells, CCI can be managed by allocating almost blank subframes (ABS) [3], [4], fractional frequency reuse (FFR) techniques [5], [6], and multiple-input and multiple-output (MIMO) techniques, such as beamforming and joint decoding [1], [7]- [9]. By allocating ABSs, CCI among the small cells cannot be managed as ABSs are allocated by the macrocells to mitigate CCI between macro and small cells.…”

Section: Introductionmentioning

confidence: 99%

Cloud Assisted Resource Management for Hyper-Dense Small Cell Networks

Gamage¹,

Shen²,

Shen³

2014

2015 IEEE Global Communications Conference (GLOBECOM)

0

View full text Add to dashboard Cite

Hyper-dense deployment of small cells and reuse of available spectrum resources within a wireless cellular network are two promising techniques that can enhance network capacity to satisfy the ever increasing demand for high volumes of mobile data traffic. With the use of these techniques in a network, the network is prone to severe co-channel interference (CCI), due to short distances between the densely deployed small cells. Therefore, to avoid degradation of the network capacity, it is necessary to manage CCI by jointly allocating resources of the small cells. Further, the resource allocation scheme should minimize the computational burden for low-cost small cell base stations (BSs), be able to adapt to time-varying network load conditions, and reduce signaling overhead in the small cell backhauls with limited capacity. To this end, in this paper we present a resource allocation scheme which operates on two time-scales and utilizes cloud computing to determine resource allocation decisions. The resource allocation decisions are made at the cloud in a slow timescale, and are further optimized at the BSs in a fast time-scale in order to adapt the decisions to fast varying wireless channel conditions. Achievable network capacity enhancements using the proposed scheme are demonstrated through simulation results.

show abstract

Cooperative Hierarchical Cellular Systems in LTE-A Networks

Cited by 8 publications

References 14 publications

Resource Allocation in Heterogeneous Wireless Networks

Resource Allocation in Heterogeneous Wireless Networks

Cloud Assisted Resource Management for Hyper-Dense Small Cell Networks

Cloud Assisted Resource Management for Hyper-Dense Small Cell Networks

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