Power-Efficient Resource Allocation in a Heterogeneous Network With Cellular and D2D Capabilities

Perez-Romero, J.; Sánchez–González, Juan; Agustí, R.; Lorenzo, Beatriz; Glisic, Savo

doi:10.1109/tvt.2016.2517700

Cited by 46 publications

(26 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The second objective is minimizing the intercell interference . The average intercell interference per RB n measured at UE k if connected at BS Sj is given by:

I_{k, n, j} normal= true \sum_{\overset{j^{'} = 1}{j^{'} \neq j}}^{J} \frac{P_{n, j^{'}}}{L_{k, j^{'}}} * \frac{M_{r e q, j^{'}}}{M}

where

P_{n, j^{'}}

is the transmit power per RB n at BS Sj' ,

L_{k, j^{'}}

is the propagation loss between user k and BS Sj' .…”

Section: System Model and Algorithm Descriptionmentioning

confidence: 99%

See 1 more Smart Citation

Multiobjective optimization‐based radio resource allocation and sharing algorithm for D2D‐based V2V communication

Feki

Belghith

Zarai

2019

Trans Emerging Tel Tech

View full text Add to dashboard Cite

Vehicular communication systems have recently attracted a lot of attention because of their potential to improve road efficiency, comfort, and safety. In this paper, we investigate the resource management problem for device‐to‐device–based vehicle‐to‐vehicle communication. A multiobjective radio resource allocation and sharing algorithm is proposed based on a swarm intelligence algorithm called ant colony optimization (ACO). First, for the resource allocation process, three objective functions are formulated to maximize the users' transmission capacity, reduce the mobile transmission power, and minimize the intracell interference. Second, for the resource sharing process, we define two objective functions to optimize the resource utilization and reduce the intercell interference. Finally, a weighted sum method is used to join these objective functions and define one multiobjective optimization problem. The ACO algorithm is used to determine the Pareto optimal solution. Simulation results show that the proposed algorithm performs well and achieves promising performance in terms of network sum rate, packet drop rate, average queuing delay, resource utilization, and mobile's transmission power.

show abstract

“…The second objective is minimizing the intercell interference . The average intercell interference per RB n measured at UE k if connected at BS Sj is given by:

I_{k, n, j} normal= true \sum_{\overset{j^{'} = 1}{j^{'} \neq j}}^{J} \frac{P_{n, j^{'}}}{L_{k, j^{'}}} * \frac{M_{r e q, j^{'}}}{M}

where

P_{n, j^{'}}

is the transmit power per RB n at BS Sj' ,

L_{k, j^{'}}

is the propagation loss between user k and BS Sj' .…”

Section: System Model and Algorithm Descriptionmentioning

confidence: 99%

“…The second objective is minimizing the intercell interference. 29 The average intercell interference per RB n measured at UE k if connected at BS Sj is given by:…”

Section: Collect Of Solutions and Update Of The Pheromone And Correlamentioning

confidence: 99%

Multiobjective optimization‐based radio resource allocation and sharing algorithm for D2D‐based V2V communication

Feki

Belghith

Zarai

2019

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…For a multi-cast D2D scenario, resource allocation problem has been addressed in [24]. A resource allocation scheme, in conjunction with transmit power minimization has been discussed in [25], and is based on Q-learning [26]. Resource allocation in a cognitive radio (CR) D2D network has been evaluated in [27], introducing an adaptive subcarrier allocation scheme, followed by the use of geometric waterfilling technique [28] for power allocation.…”

Section: A Related Workmentioning

confidence: 99%

Sector-Based Radio Resource Allocation (SBRRA) Algorithm for Better Quality of Service and Experience in Device-to-Device (D2D) Communication

Gandotra

Jha

Jain

2018

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

IEEE Transactions on Vehicular Technology 1  Abstract-The mounting content sharing among users has resulted in a considerable rise in wireless data traffic, pressurizing the cellular networks to undergo a suitable upheaval. A competent technology of the fifth-generation networks (5G) for efficiently supporting proximity-based applications is Device-to-Device (D2D) communication, underlaying cellular networks. Significant advances have been made till date, for allocating resources to D2D users in cellular networks, such that sharing of spectral resources between cellular and D2D users is carried out in a coordinated manner. In this paper, a sector-based radio resource allocation (SBRRA) algorithm for resource block allocation to D2D pairs has been proposed, where the number of resource blocks (RBs) is allocated to each D2D pair in an adaptive manner, based on the demanded application by each pair. Different applications demand a varying number of RBs, in accordance with their priority. This algorithm focusses on the use of sectored antennas at the base station, for a better performance and low complexity. Extensive simulations are carried out, considering real-time scenario, for ensuring satisfactory Quality of Service (QoS) and Quality of Experience (QoE) by the users. The efficiency of the proposed scheme is proved by comparing it with the RB allocation using Hidden Markov Model (HMM). Index Terms-5G, Resource Block (RB) allocation, Device-to-Device (D2D) communication, Hidden Markov Model (HMM), Quality of Service (QoS), Quality of Experience (QoE), SBRRA, Sectored approach.

show abstract

“…DNS is capable to instantly offload current low-priority users (LUs) to userprovided networks and reassign resources to high priority Tactile users (TUs). Incentive and pricing mechanisms have attracted intensive research to motivate users to share their connectivity and establish a dynamic network architecture (DNA) [10], [11], [12], [13], [14]. Here, we further extend DNA concept to make the access network more flexible and self-adjustable to traffic density variations.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Network Slicing for Flexible Radio Access in Tactile Internet

Shafigh

Glisic

Lorenzo

2017

GLOBECOM 2017 - 2017 IEEE Global Communications Conference

Self Cite

View full text Add to dashboard Cite

Abstract-Tactile Internet (TI) will generate a variety of 5G-enabled use cases with different requirements for latency, throughput and reliability. In this paper, we propose a flexible cloud-based radio access network (FRAN) for TI, where traffic of user equipments (UEs) can be temporary offloaded from the operator-provided networks to user-provided networks if needed. Such a concept enables dynamic network slicing (DNS) where the network architecture is temporally augmented with slices of infrastructure borrowed from user provided network. FRAN is able to support Tactile applications without any basic change to the hardware/software infrastructure in the network. We model DNS system as a two-layer/slice traffic-aware resource allocation framework, where every layer uses a separate two-step matching game in order to serve Tactile users (TUs) and low-priority users (LUs). We propose a subgame Nash stable and two-sided exchange stable concepts as solutions of the proposed two-layer traffic-aware resource allocation. Our numerical results show that network operators and UEs (either TUs or LUs) significantly benefit from deploying the FRAN rather than conventional cloudbased radio access networks (CRANs).

show abstract

Power-Efficient Resource Allocation in a Heterogeneous Network With Cellular and D2D Capabilities

Cited by 46 publications

References 34 publications

Multiobjective optimization‐based radio resource allocation and sharing algorithm for D2D‐based V2V communication

Multiobjective optimization‐based radio resource allocation and sharing algorithm for D2D‐based V2V communication

Sector-Based Radio Resource Allocation (SBRRA) Algorithm for Better Quality of Service and Experience in Device-to-Device (D2D) Communication

Dynamic Network Slicing for Flexible Radio Access in Tactile Internet

Contact Info

Product

Resources

About