Joint optimization of spectrum and energy efficiency in cognitive radio networks

Wang, Chonggang

doi:10.1016/j.dcan.2015.09.004

Cited by 29 publications

(17 citation statements)

References 35 publications

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“…A new TP will be added to A (k) if it maximizes the improvement in (18). Since w (k) 0 is a constant independent of the TP to be added in Step k for a given A (k) , it can be ignored during pattern selection.…”

Section: A Dcg-based Decompositionmentioning

confidence: 99%

“…II. RELATED WORK Energy-efficient networking has gained great attention in the literature, especially for networks with multi-dimensional resource space such as heterogeneous networks [15], cognitive radio networks [16]- [18] and networks with device-to-device communications [19], [20]. Resource allocation for heterogeneous cognitive radio network is studied in [15], where a Stackelberg game approach is adopted with gradient based iteration algorithm as a solution.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Joint Optimization of Scheduling and Power Control in Wireless Networks: Multi-Dimensional Modeling and Decomposition

Liu

Cheng

Cao

et al. 2019

IEEE Trans. on Mobile Comput.

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The energy efficiency of future networks is becoming a significant and urgent issue, calling for greener network designs. At the same time, rapid development of wireless networks shows a trend of increasing complexity in network structure and resource space, leading to that optimizing the energy efficiency of such networks requires a joint solution over multi-dimensional resource space. However, the coupled resource dimensions and growing problem scales bring great challenges in obtaining the optimal solutions. In this paper, we develop a multi-dimensional network model on the basis of tuple-links associated with transmission patterns (TPs) and formulate the optimization problem as a TP based scheduling problem which jointly solves transmission scheduling, routing, power control, radio and channel assignment. In order to tackle the complexity issues raised from coupled resource dimensions, we propose a novel algorithm that decomposes the coupling scheduling and power control by exploiting the delay column generation technique to recursively solve a master problem for scheduling and a sub-problem for power allocation. Further, we theoretically prove that the performance gap between the proposed algorithm and the optimum is upper bounded by that for the sub-problem solution, where the latter is derived by solving a relaxed version of the sub-problem. Numerical results demonstrate the effectiveness of the multi-dimensional framework and the benefit of the proposed joint optimization in improving network energy efficiency.

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Section: A Dcg-based Decompositionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Joint Optimization of Scheduling and Power Control in Wireless Networks: Multi-Dimensional Modeling and Decomposition

Liu

Cheng

Cao

et al. 2019

IEEE Trans. on Mobile Comput.

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“…BR ağlarda kanalların daha etkin kullanılmasını sağlayan OFDM halen incelenmekte olan bir konu olmasına rağmen [27] [33]. Yazarların BR ağlardaki yapay zekâ kullanımına ilişkin katkıları;…”

Section: Farklı Hesaplama Algoritmalarının Etkinliğiunclassified

Enerji Etkin Kognitif Radyo Ağları: Yeşil Ödeme

Kutay¹,

Karaca²,

Ercan³

2016

Nevşehir Bilim Ve Teknoloji Dergisi

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ÖzKablosuz ve Mobil teknolojilerin gelişmesi, kullanım rahatlığından dolayı artan kullanıcı istekleri, multimedya uygulamalarının yoğun kullanımı, frekans sahasının verimsiz kullanılması Bilişsel Radyo (BR) olarak isimlendirilen yeni bir iletişim teknolojisi kavramının ortaya çıkmasına neden olmuştur. BR'ler bütün telsiz iletişim sistemlerinde frekans sahasının daha etkin ve enerji kullanımının da daha verimli olmasını sağlayacaktır. Bu çalışmada BR kavramsal olarak açıklanmış, sisteme ilişkin donanım ve yazılım problemleri özetlenmiş, iletişim ağlarıyla ilgili artan enerji maliyetleri, gittikçe ağırlaştırılan çevrebilim sınırlamalarına bağlı olarak BR'nin enerji etkin çalışmalardaki rolü incelenmiştir. Bu çalışmalar kapsamında, BR'ler enerji etkinliği ve yeşil iletişim temaları altında benzerliklerine göre gruplandırılmış ve özellikle Yeşil iletişimdeki BR katkıları için "Yeşil Ödeme" isimli bir algoritma önerilmiştir. Önerilen Yeşil Ödeme algoritmasında frekans sahasının ikincil kullanıcıları haberleşme güç seviyelerine göre yüksek ve düşük güçlü kullanıcılar olarak ayrılmış, belli bir eşik değerin üstündeki yüksek güçlü kullanıcılara yaptırım olarak ek bir maliyet getirilerek kanal alımları zorlaştırılmıştır. Böylece toplam kullanılabilir kanal yüzdesi düşürülmüş ve harcanan güç miktarında azalma sağlanarak BR'lerin yeşil iletişime katkısı gösterilmiştir.Anahtar Kelimeler: Yeşil iletişim, yeşil ödeme, bilişsel radyo, BR, enerji ve frekans sahası verimliliği. Energy Efficient Cognitive Radio Networks: Green Payment AbstractDevelopment of mobile and wireless technologies, increasing user demands due to the ease of use, intensive use of multimedia applications and the inefficient use of frequency spectrum enable the emergence of a new communication paradigm, namely Cognitive Radios (CR). The use of CRs will provide effective use of spectrum and efficient energy management in all wireless communication systems. In this study, we've explained the concept of CR, summarized hardware/software difficulties of the system and examined the role of CRs in energy efficient studies due to the continuous increase of energy costs and tightened ecological regulations in transmission networks. Within the scope of these studies, CRs have been categorized into groups of different similarities under the theme of green communication and energy efficiency and particularly proposed a "Green Payment" algorithm for the contributions in green communications. In the proposed "Green Payment" algorithm, secondary users of the frequency spectrum have been separated into high power and low power users according to the transmitting power levels. It has brought an additional cost for the high power users above a certain threshold value and made more difficult to purchase a free channel. This paper shows how our algorithm has achieved a considerable amount of power reduction while the total percentage of available channels falls down.

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“…12 Energy harvesting concept is introduced and formulated with network throughput in the study of Ergul et al 13 Besides throughput, energy consumption and energy efficiency are the main metrics that have been the center of attention recently. [14][15][16][17][18][19][20] Besides limited-life batteries issues for wireless portable devices, improving the energy efficiency is important from the environmental point of view. Note that information communication technologies (ICT) already is in charge of about 2% of the total world CO2 gas emission.…”

Section: Introductionmentioning

confidence: 99%

Coexisting with the dynamic PU, the effect of PU‐returns on a secondary network

Amini

Mahdavi

Omidi

2017

Int J Communication

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Coexisting with a dynamic primary user network is a challenge in cognitive radio networks, since the rate at which primary user reoccupies the spectrum is high. Therefore, it is important to investigate deeply the effect of primary traffic dynamics on secondary network performance metrics. To do that, interference due to both sensing error and primary user re-occupancy must be formulated and considered in throughput and collision probability. Besides them, secondary packet retransmissions due to such interference should be considered in metrics such as average energy consumption and average packet delay. In this study, we formulate the mentioned secondary network metrics regarding to such kinds of interference and secondary packet retransmission. Numerical results along with discussions are given to clarify derived expressions. Simulations are also performed to justify the theoretical results, and optimum operating point for secondary network settings is derived by genetic algorithm.

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Joint optimization of spectrum and energy efficiency in cognitive radio networks

Cited by 29 publications

References 35 publications

Joint Optimization of Scheduling and Power Control in Wireless Networks: Multi-Dimensional Modeling and Decomposition

Joint Optimization of Scheduling and Power Control in Wireless Networks: Multi-Dimensional Modeling and Decomposition

Enerji Etkin Kognitif Radyo Ağları: Yeşil Ödeme

Coexisting with the dynamic PU, the effect of PU‐returns on a secondary network

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