Joint location and power optimisation of femto base stations to improve indoor coverage: a geometric approach

Kundu, Atanu; Sanyal, Sugata; Misra, Iti Saha

doi:10.1002/ett.3081

Cited by 3 publications

(12 citation statements)

References 33 publications

(43 reference statements)

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“…PSA adapts the TP after analyzing the SINR feedback from the neighboring end‐users, obtained via their serving FBSs. Compared to LPOA, PSA adapts the TP of the FBSs at run time, leading to lower power cost. PSA has a worst‐case run‐time complexity of O(log 2 N ) and is much faster than FDA, CQI1, and CQI2.…”

Section: Resultsmentioning

confidence: 99%

“…An end‐user u is considered to access the network via an FBS f if it lies within the coverage area of f . The interference experienced by the end‐users can be co‐tier and/or cross‐tier . The downlink RSS, the TP of the FBS, and/or the on‐off state of the FBSs determine the serving FBS.…”

Section: System Modelmentioning

confidence: 99%

“…The number of barriers encountered, their thickness, material types, volumes, etc, determine the path loss experienced by the signal. A detailed study of the impact of wall materials on signal propagation and their effect on the location and optimized TP has been included in the work of Kundu et al…”

Section: System Modelmentioning

confidence: 99%

“…In order to save power and provide an eco‐friendly green network, FBSs are thus equipped with various adaptive power control strategies (APCSs). () The APCS modulates the TP of the FBSs, resulting in reduced downlink interference and improved Quality of Service (QoS) of the network. The adaptiveness of the APCS depends on various factors like the neighboring base station (macro or femto) positions, their TP, the terrain of the deployment region, end‐user density, end‐user distribution, etc.…”

Section: Introductionmentioning

confidence: 99%

“…Various power control strategies (PCS) of the FBSs have been proposed in the literature. Some of them are centralized() PCS (CPCS), whereas others are decentralized() PCS (DPCS). The DPCS can further be classified as assistance‐based (AB)() or nonassistance‐based (NAB)() PCS.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Distributed heuristic adaptive power control algorithms in femto cellular networks for improved performance

Kundu¹,

Majumder²,

Misra

et al. 2018

Trans Emerging Tel Tech

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Adaptiveness of femto base station's (FBS's) transmission power (TP) is crucial in determining Quality of Service and ecofriendliness of a network. Joint power optimization and admission control problems have been reformulated to identify the TP of v already deployed FBSs, and the problem is shown to be computationally hard. Accordingly, an adaptive distributed heuristic called power search algorithm (PSA) is proposed. A learning algorithm analytically identifies the received signal strength‐based coverage of each FBS in all directions during planning. A 3‐dimensional reference matrix, ie, REF, for each FBS, is thereby formulated and stored in the corresponding FBSs. Power search algorithm handles call admission/termination at run time. For call admission, PSA identifies the serving FBS and the required minimum TP. A suitable data structure is also maintained by PSA for efficient call handling. A new call is dropped if its admission degrades the Quality of Service of existing end‐users. For call termination, change in TP is triggered if the highest power level of the FBS was being exercised to serve this particular user. The worst‐case run‐time complexity of PSA turns out to be O(log2N), where N is the number of TP levels of a particular FBS. Comparing with existing heuristics, improved performance of PSA includes highest throughput and signal‐to‐interference‐plus‐noise ratio while minimizing starvation and cumulative TP with lower complexity even for high end‐user density. Exhaustive simulation reveals that the probability of an end‐user having signal‐to‐interference‐plus‐noise ratio above 0 dB is 0.83 even in the worst case scenario. Accordingly, the proposed PSA is claimed to be superior.

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Section: Resultsmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Distributed heuristic adaptive power control algorithms in femto cellular networks for improved performance

Kundu¹,

Majumder²,

Misra

et al. 2018

Trans Emerging Tel Tech

Self Cite

View full text Add to dashboard Cite

show abstract

A novel approach on femtocell placement in the commercial buildings using genetic algorithm

Javad

BorujeniShahram

2021

Trans Emerging Tel Tech

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The femtocell networks have been developed to solve the indoor coverage issues. In the large commercial buildings, finding the minimum number of femtocells and their locations with a full coverage of the building is a complicated problem. This article attempts to minimize the number of femtocells in a large building while providing maximum coverage. In this article, the locations of the femtocells are determined such that the total number of handovers in the building is minimal. For this purpose, the building area is divided into small and equal‐sized subregions, and a femtocell matrix coverage is obtained for each subregion using the path‐loss equation. We utilize the femtocell matrix coverage and propose a mathematical model to minimize the number of femtocells with a maximum (almost complete) coverage of the building area. We employ the genetic algorithm to solve this NP‐hard problem. An efficient algorithm is also presented to create the initial population for the genetic algorithm. Based on the past behavior of the users, we select the locations for the femtocells to reduce the number of handovers. Numerical results indicate that with almost complete coverage, our proposed method reduces the femtocell counts up to 55% and reduces the number of handovers up to 30% compared with the previous work.

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Literature review of deploying small transmitters on a spectrum sharing scheme

Hurtado¹,

Ramírez

Caicedo

2021

Rev.Fac.Ing.Univ.Antioquia

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Nowadays, there are a lot of misinformation and myths related to both the deployment of antennas for 5G and the frequency bands used in such technology. Many of these myths arise from the lack of serious research documents released in common language to be understood by different knowledge areas. This work makes a small contribution in this regard and shows a bibliographic review of the most relevant characteristics related to the problem of deployment of transmitters (a.k.a. base stations), and also takes into account a spectrum sharing scheme. As a case study, we will analyze the CBRS regulation used in the United States for the deployment of 5G, it will provide an overview of engineering problems and also, the areas of research that still need to be explored.

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Joint location and power optimisation of femto base stations to improve indoor coverage: a geometric approach

Cited by 3 publications

References 33 publications

Distributed heuristic adaptive power control algorithms in femto cellular networks for improved performance

Distributed heuristic adaptive power control algorithms in femto cellular networks for improved performance

A novel approach on femtocell placement in the commercial buildings using genetic algorithm

Literature review of deploying small transmitters on a spectrum sharing scheme

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