Power control schemes for energy efficiency of cellular and device-and-device communications

Melo, Yuri V. L. de; Batista, Rodrigo L.; Silva, Carlos F. M. e; Maciel, Tarcísio F.; Silva, José Mairton B. da; Cavalcanti, Francisco R. P.

doi:10.1109/wcnc.2015.7127722

Cited by 7 publications

(4 citation statements)

References 7 publications

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“…The results obtained from this study are the SDPC scheme gives better results than the OLPC scheme in the interference management of the cellular network section. While the OLPC scheme is more efficient in the management of interference in D2D communication [21].…”

Section: Literature Studymentioning

confidence: 99%

Device-to-Device (D2D) Communication Power Control for Interference Management in Existing Cellular Network

Pamungkas¹,

Muthoharoh²,

Permatasari³

2022

JurnalEcotipe

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The need for telecommunications access continues to increase. This is accompanied by the need for access to internet services. Within the increasing number of service users every time the improvement of quality of service is needed. jz power control method on the interference, used two schemes of power control method that is fixed power control, and adaptive power control. The result of simulation obtained by CDF analyisis scheme of fixed power control able to improve SINR equal to 11,45% and adaptive power control have value of improvement 8,65% in downlink period. And in uplink period increase of SINR equal to 3,29% with fixed power control and 2,24% with adaptive power control.

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Section: Literature Studymentioning

confidence: 99%

Device-to-Device (D2D) Communication Power Control for Interference Management in Existing Cellular Network

Pamungkas¹,

Muthoharoh²,

Permatasari³

2022

JurnalEcotipe

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“…In the literature, a significant effort has been done related to the interference mitigation in underlay D2D communication [12][13][14][15][16][17][18][19][20][21][22][23][24]. In the literature, resource allocation and power control schemes are addressed as the major approaches to alleviate the interference in D2D underlay cellular networks.…”

Section: Related Workmentioning

confidence: 99%

“…The authors assume that the eNB has all the channel state information, which will cause an excessive signaling overhead. In [16,17], authors presented power allocation schemes based on "soft dropping" PC algorithm, with constraint of transmit power conforms a target signal-to-interference-plus-noise ratio (SINR). However, author considers the system configuration to be random, and D2D users are limited to a scope in the cellular region.…”

Section: Related Workmentioning

confidence: 99%

Mixed Uplink, Downlink Channel Allocation and Power Allocation Schemes for 5G Networks

Dubey

Mishra

Pandey

2020

Wireless Pers Commun

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Device-to-device (D2D) communication plays a significant role for the next generation networks i.e. (5G). The D2D communication leads to an efficient spectral utilization which results in a potential reduction in the overhead at the evolved node B side. However, without an efficient interference management scheme in place, cellular users experience a degradation in the quality of service, which makes interference mitigation a major deployment challenge. In this paper, we have put forward an efficient interference mitigation scheme in order to maximize the system throughput. This scheme comprises of three subparts. Firstly, we introduce a cell sub-division concept under which we virtually subdivide the cell into three regions, namely center, mid and outer regions. Secondly, we formulate the power allocation problem as a robust particle swarm optimization algorithm for the mid-cell region. This enables the scheme in handling the uncertainties in the allocated power, thus reaching a robust optimal solution. The third part consists of a resource allocation scheme built around a cell subdivision concept. Extensive simulations are performed under the scenarios of simultaneous uplink and downlink transmission for the center cell region and the outer cell region. We further draw the comparison of our scheme along with the schemes mentioned in the literature.

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“…In [8]- [11], a power allocation scheme is presented based on a "soft dropping" PC algorithm, in which the transmit power meets a variable target signal-to-interference-plus-noise ratio (SINR). However, the system considered is not random, and the D2D users in [9]- [11] are confined within a hotspot in a cellular region.…”

Section: Introductionmentioning

confidence: 99%

Power Control and Channel Allocation for D2D Underlaid Cellular Networks

Abdallah

Mansour

Chehab

2018

IEEE Trans. Commun.

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Device-to-Device (D2D) communications underlaying cellular networks is a viable network technology that can potentially increase spectral utilization and improve power efficiency for proximitybased wireless applications and services. However, a major challenge in such deployment scenarios is the interference caused by D2D links when sharing the same resources with cellular users. In this work, we propose a channel allocation (CA) scheme together with a set of three power control (PC) schemes to mitigate interference in a D2D underlaid cellular system modeled as a random network using the mathematical tool of stochastic geometry. The novel aspect of the proposed CA scheme is that it enables D2D links to share resources with multiple cellular users as opposed to one as previously considered in the literature. Moreover, the accompanying distributed PC schemes further manage interference during link establishment and maintenance. The first two PC schemes compensate for large-scale path-loss effects and maximize the D2D sum rate by employing distance-dependent pathloss parameters of the D2D link and the base station, including an error estimation margin. The third scheme is an adaptive PC scheme based on a variable target signal-to-interference-plus-noise ratio, which limits the interference caused by D2D users and provides sufficient coverage probability for cellular users. Closed-form expressions for the coverage probability of cellular links, D2D links, and sum rate of D2D links are derived in terms of the allocated power, density of D2D links, and path-loss exponent. The impact of these key system parameters on network performance is analyzed and compared with previous work. Simulation results demonstrate an enhancement in cellular and D2D coverage probabilities, and an increase in spectral and power efficiency. The main motivation behind using Device-to-Device (D2D) communication underlaying cellular systems is to enable communication between devices in close vicinity with low latency and low energy consumption, and potentially to offload a telecommunication network from handling local traffic [1]-[5]. D2D is a promising approach to support proximity-based services such as social networking and file sharing [4]. When the devices are in close vicinity, D2D communication improves the spectral and energy efficiency of cellular networks [5]. Despite the benefits of D2D communications in underlay mode, interference management and energy efficiency have become fundamental requirements [6] in keeping the interference caused by the D2D users under control, while simultaneously extending the battery lifetime of the User Equipment (UE). For instance, cellular links experience cross-tier interference from D2D transmissions, whereas D2D links not only deal with the inter-D2D interference, but also with cross-tier interference from cellular transmissions. Therefore, power control (PC) and channel allocation (CA) have become necessary for managing interference levels, protecting the cellular UEs (CUEs), and providing energy-ef...

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Power control schemes for energy efficiency of cellular and device-and-device communications

Cited by 7 publications

References 7 publications

Device-to-Device (D2D) Communication Power Control for Interference Management in Existing Cellular Network

Device-to-Device (D2D) Communication Power Control for Interference Management in Existing Cellular Network

Mixed Uplink, Downlink Channel Allocation and Power Allocation Schemes for 5G Networks

Power Control and Channel Allocation for D2D Underlaid Cellular Networks

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