Improving Energy Efficiency in Backhaul of Lte-A Network With Base Station Cooperation

Bhuvaneswari, P. T. V.; Nithyanandan, L.

doi:10.1016/j.procs.2018.10.378

Cited by 8 publications

(5 citation statements)

References 12 publications

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“…In [31], the authors designed an adaptive online learning approach and smart access for CoMP with carrier aggregation in order to improve network performance. In [32], the authors propose different scenarios of the CoMP model dealing with backhaul traffic in order to improve network throughputs in LTE-A network. In [33], the authors propose an algorithm to coordinate the clusters of the cells as well as a Radio Coordination Controller (RCC) placement optimization problem.…”

Section: Related Workmentioning

confidence: 99%

CoMP-Aware BBU Placements for 5G Radio Access Networks over Optical Aggregation Networks

Awad

Shehata²,

Gasser³

et al. 2022

Applied Sciences

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The huge traffic demand envisioned in 5G requires radical changes in mobile network architecture. A Centralized Radio Access Network (C-RAN) was introduced as a novel mobile network architecture, designed to effectively support the challenging requirements of future 5G networks. Coordinated Multi-point (CoMP) is one of the technologies aiming to increase user traffic by transforming inter-cell interference into useful signals to maximize cell-edge users throughput. Intra-CoMP means that cooperating RRHs are assigned to the same Base Band Unit (BBU). On the other hand, in inter-CoMP, the cooperating RRHs are assigned to different BBUs, which introduce overhead signalling over an X2 interface. This paper proposes a model for BBU placement in C-RAN deployment over a 5G optical aggregation network. The model aims to minimize the number of users undergoing inter-CoMP, therefore reducing X2 signalling overhead. First, we solve the BBU placement problem using Integer Linear Programming (ILP), which minimizes the number of BBUs and the number of used links. Second, given the output of the ILP model (i.e., BBU locations and routes), we propose a heuristic algorithm to reconfigure the BBUs (i.e., the assignment of the RRHs to their corresponding BBUs), which aims at minimizing the number of users undergoing inter-CoMP. The proposed heuristic algorithm considers minimizing end-to-end delay, the number of used wavelengths, and maximizing multiplexing gain. The results show that up to 97% of inter-CoMP users migrated to intra-CoMP users. This results in a decrease in the X2 traffic, which is mainly used for the coordination between the BBUs.

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Section: Related Workmentioning

confidence: 99%

CoMP-Aware BBU Placements for 5G Radio Access Networks over Optical Aggregation Networks

Awad

Shehata²,

Gasser³

et al. 2022

Applied Sciences

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“…Further, many research works reveal that caching enabled networking can enhance the system performance [129][130][131][132][133][134][135][136][137][138]. Web caching led to content delivery networks (CDNs) that are capable of replicating content across the internet and reducing more than 50% of the data traffic that is directed to the remote main servers which helped in reducing the amount of backhaul traffic in the network [129].…”

Section: Cachingmentioning

confidence: 99%

“…Web caching led to content delivery networks (CDNs) that are capable of replicating content across the internet and reducing more than 50% of the data traffic that is directed to the remote main servers which helped in reducing the amount of backhaul traffic in the network [129]. Further, enabling caching in wireless networks is another means of achieving energy efficiency in the emerging networks [87,[129][130][131][132][133][134][135]. The power consumption for data transfer from a remote main server to the end user is higher than the data transfer from an intermediate cache node to the end user.…”

Section: Cachingmentioning

confidence: 99%

A New Green Prospective of Non-orthogonal Multiple Access (NOMA) for 5G

et al. 2020

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Energy efficiency is a major concern in the emerging mobile cellular wireless networks since massive connectivity is to be expected with high energy requirements from the network operators. Non-orthogonal multiple access (NOMA) being the frontier multiple access scheme for 5G, there exists numerous research attempts on enhancing the energy efficiency of NOMA enabled wireless networks while maintaining its outstanding performance metrics such as high throughput, data rates and capacity maximized optimally.The concept of green NOMA is introduced in a generalized manner to identify the energy efficient NOMA schemes. These schemes will result in an optimal scenario in which the energy generated for communication is managed sustainably. Hence, the effect on the environment, economy, living beings, etc is minimized. The recent research developments are classified for a better understanding of areas which are lacking attention and needs further improvement. Also, the performance comparison of energy efficient, NOMA schemes against conventional NOMA is presented. Finally, challenges and emerging research trends, for energy efficient NOMA are discussed.

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“…In [18] various algorithms with backhaul traffic are addressed to improve energy efficiency with base station cooperation techniques and identified less cooperative size is preferable for throughput enhancement. By combining the issues [17][18], this paper discusses multiple objectives to enhance EE in LTE-A networks by EEAFR algorithm. To this end the contribution of the work are as follows:…”

Section: Improving Energy Efficiency and Minimizing Backhaul Traffic mentioning

confidence: 99%

“…The main objective of the work is to enhance energy efficiency in LTE-A network by cooperating eNBs and reducing the failure rate by introducing DTX mechanism when the eNB cooperates large cooperative set. Initially, the proposed algorithm selects the eNB with a heavy load to powered ON [18] and calculate the size of the cell. Then, based on the load, the algorithm decides which eNB to cooperate.…”

Section: Proposed Algorithm -Eeafrmentioning

confidence: 99%

Improving Energy Efficiency and Minimizing Backhaul Traffic in LTE-A Network with Cooperation and DTX Mechanism

2019

IJRTE

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The promising approach to enhance energy efficiency (EE) in LTE-A network is to switch underutilized evolved node B (eNB) to sleep mode, but it increases the transmission power to guarantee the coverage under the remaining active eNBs. The increase in transmission power can be reduced by coordinated multi-point (CoMP) technique through eNB cooperation, but this technique consumes extra power due to backhaul traffic and signal processing. This problem can be solved by the proposed energy efficient acceleration factor failure rate (EEAFR) algorithm. The algorithm jointly considers the eNB cooperation and DTX mechanism to minimize the backhaul traffic with less failure rate. Also, to enhance energy efficiency, the proposed algorithm efficiently utilizes the cooperation in all traffic load scenarios based on the decision criteria and DTX mechanism. The results are compared with the existing AFEE and Green CoMP with Backhaul Traffic algorithm. In all the traffic loads EEAFR save 59.8% energy and reduces the network outage which depends on the failure rate of the eNB components

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Improving Energy Efficiency in Backhaul of Lte-A Network With Base Station Cooperation

Cited by 8 publications

References 12 publications

CoMP-Aware BBU Placements for 5G Radio Access Networks over Optical Aggregation Networks

CoMP-Aware BBU Placements for 5G Radio Access Networks over Optical Aggregation Networks

A New Green Prospective of Non-orthogonal Multiple Access (NOMA) for 5G

Improving Energy Efficiency and Minimizing Backhaul Traffic in LTE-A Network with Cooperation and DTX Mechanism

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