Joint Power Control, Base Station Assignment, and Channel Assignment in Cognitive Femtocell Networks

Torregoza, John Paul; Enkhbat, Rentsen; Hwang, Won-Joo

doi:10.1155/2010/285714

Cited by 54 publications

(26 citation statements)

References 13 publications

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“…Closed access, where only specified *Correspondence: hsjo@hanbat.ac.kr 1 Department of Electronics and Control Engineering, National Hanbat University, Daejeon, Korea Full list of author information is available at the end of the article registered home users can communicate with the femtocell access point (FAP), appears attractive to the home user but can result in severe cross-tier interference from nearby cellular users in the uplink (see Figure 1) or to nearby cellular users in the downlink. To reduce this interference in closed access, previous studies have considered power control [5][6][7][8][9], frequency assignment [10][11][12], and a spectrum sensing approach [13,14]. An alternative is to simply hand over cellular users that cause or experience strong interference to the femtocell.…”

Section: Motivation and Related Workmentioning

confidence: 99%

Open, closed, and shared access femtocells in the downlink

Xia

Andrews

2012

J Wireless Com Network

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A fundamental choice in femtocell deployments is the set of users which are allowed to access each femtocell. Closed access restricts the set to specifically registered users, while open access allows any mobile subscriber to use any femtocell. Which one is preferable depends strongly on the distance between the macrocell base station (MBS) and femtocell. The main results of the this article are lemmas which provide expressions for the signal-to-interference-plus-to-noise ratio (SINR) distribution for various zones within a cell as a function of this MBS-femto distance. The average sum throughput (or any other SINR-based metric) of home users and cellular users under open and closed access can readily be determined from these expressions. We show that unlike in the uplink, the interests of home and cellular users are in conflict, with home users preferring closed access and cellular users preferring open access. The conflict is most pronounced for femtocells near the cell edge, when there are many cellular users and fewer femtocells. To mitigate this conflict, we propose a middle way which we term shared access in which femtocells allocate an adjustable number of time-slots between home and cellular users such that a specified minimum rate for each can be achieved. The optimal such sharing fraction is derived. Analysis shows that shared access achieves at least the overall throughput of open access while also satisfying rate requirements, while closed access fails for cellular users and open access fails for the home user.

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Section: Motivation and Related Workmentioning

confidence: 99%

Open, closed, and shared access femtocells in the downlink

Xia

Andrews

2012

J Wireless Com Network

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“…Ashraf et al [10] described an approach of adjusting the transmitting power of fixed positions of FAPs in the enterprise offices to achieve coverage optimisation and load balance, but did not consider the evaluation of the effect on the positions of FAPs. In [11], a joint power and channel allocation method was proposed to improve the uplink throughput, but the calculation of the throughput, which was the key parameter of the algorithm, was relatively simple and might be inaccuracy by just using Shannon capacity equation. Ki Wo et al [12] derived the downlink SINR formula for the residential femtocell but the formula did not take the throughput into account while researchers in [13] provided system simulation to evaluate the femtocell network performance, however the simulation was relatively simple without an extensive theoretical model verification.…”

Section: Review Of Existing Workmentioning

confidence: 99%

“…This investigation is done for Figure 8 shows the optimal locations of FAPs for different number of FAPs required and the associated capacity and energy consumption improvements. The rooms on the top floor has been numbered as 1-9 followed by the rooms on the middle floor (10)(11)(12)(13)(14)(15)(16)(17)(18) and the ones on the ground floor (19)(20)(21)(22)(23)(24)(25)(26)(27). the micro-cell BS is located close to the side of room numbered (7-9, 16-18 and 25-27).…”

Section: Multi-room Multi-floor Fap Placementmentioning

confidence: 99%

Low energy indoor network: deployment optimisation

Wang

Guo

O’Farrell

2012

J Wireless Com Network

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This article considers what the minimum energy indoor access point deployment is in order to achieve a certain downlink quality-of-service. The article investigates two conventional multiple-access technologies, namely: LTEfemtocells and 802.11n Wi-Fi. This is done in a dynamic multi-user and multi-cell interference network. Our baseline results are reinforced by novel theoretical expressions. Furthermore, the work underlines the importance of considering optimisation when accounting for the capacity saturation of realistic modulation and coding schemes. The results in this article show that optimising the location of access points both within a building and within the individual rooms is critical to minimise the energy consumption.

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“…In [14][15][16], joint transmission power control and cell association using BS cooperation are investigated. These methods can achieve optimal performance.…”

Section: Introductionmentioning

confidence: 99%

Investigation on Power Control Algorithm in Joint Control Method of Autonomous Cell Association and Power Control for Heterogeneous Networks

Matsui

Ito

Higuchi

2016

Journal of Signal Processing

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This paper proposes a power control algorithm for our previously reported joint control method for autonomous cell association and transmission power control of picobase stations (BSs) in heterogeneous networks with intercell interference coordination (ICIC), where low transmission-power pico-BSs are overlaid onto a high transmission-power macro-BS. We previously proposed a two-step power control algorithm whose calculation complexity is relatively low. However, the algorithm does not necessarily find the optimal solution for the given problem. Therefore, in this paper, we propose an iterative power control algorithm that always finds the optimal solution and compares the algorithm to the previous one. Based on numerical results, we show that the new optimal algorithm achieves a higher geometric mean user throughput than the previous one. However, we also show that the throughput gain is small and the previous algorithm achieves a higher geometric mean user throughput than the optimal one when we assume the same computational complexity.

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Joint Power Control, Base Station Assignment, and Channel Assignment in Cognitive Femtocell Networks

Cited by 54 publications

References 13 publications

Open, closed, and shared access femtocells in the downlink

Open, closed, and shared access femtocells in the downlink

Low energy indoor network: deployment optimisation

Investigation on Power Control Algorithm in Joint Control Method of Autonomous Cell Association and Power Control for Heterogeneous Networks

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