Proceedings Article10.1109/ICUMT.2012.6459745
Utility function maximization problems for two cross-layer optimization algorithms in OFDM wireless networks
Ivan A. Buturlin,Yuliya Gaidamaka,Andrey Samuylov +2 more
- 01 Oct 2012
- pp 63-65
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TL;DR: Two cross-layer optimization algorithms that are intended to maximize the utility function under different conditions - dynamic subcarrier assignment (DSA) algorithm and adaptive power allocation (APA) algorithm are studied.
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Abstract: One of the main problems in wireless networks is optimization of radio resources allocation in down-link channel Different traffic types transmitted over the network suggest a dynamic resource allocation in order to provide a better quality of service (QoS) There are radio resource management modules, called schedulers, which are engaged in resource planning and access priority assignment depending on the types of traffic with the specified requirements for QoS Schedulers are developed based on algorithms derived from solving various radio resources optimization problems Cross-layer optimization problems such as the problem of minimizing the transmission power or the problem of maximizing the transmission rate [1], in fact involve the optimization of a utility function, that describe a certain level of user satisfaction for a particular resources allocation scheme under certain restrictions In this paper we study two cross-layer optimization algorithms that are intended to maximize the utility function under different conditions - dynamic subcarrier assignment (DSA) algorithm and adaptive power allocation (APA) algorithm
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Modelling and Analysing a Dynamic Resource Allocation Scheme for M2M Traffic in LTE Networks
Vladimir Y. Borodakiy,Ivan A. Buturlin,Irina A. Gudkova,Konstantin E. Samouylov +3 more
- 28 Aug 2013
TL;DR: A dynamic resource allocation scheme for M2M traffic in LTE networks is proposed based on fixed bandwidth intervals at which traffic from MTC devices is serviced according to the Processor Sharing (PS) discipline.
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Modelling a Random Access Channel with Collisions for M2M Traffic in LTE Networks
Vladimir Y. Borodakiy,Konstantin E. Samouylov,Yuliya Gaidamaka,Pavel O. Abaev,Ivan A. Buturlin,Shamil A. Etezov +5 more
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Baseline Analytical Model for Machine-Type Communications Over 3GPP RACH in LTE-Advanced Networks
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TL;DR: A mathematical model in a form of the discrete Markov chain is built taking into account the features of the access procedure under congestion conditions and collisions to obtain the solution for key performance measures of RACH mechanism in an analytical closed-form.
Using Infinite-server Resource Queue with Splitting of Requests for Modeling Two-channel Data Transmission
Tatyana Bushkova,Svetlana Moiseeva,Alexander Moiseev,János Sztrik,Ekaterina Lisovskaya,Ekaterina Pankratova +5 more
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References
Cross-layer optimization for OFDM wireless networks-part I: theoretical framework
Guocong Song,Ye Li +1 more
TL;DR: The utility is used in this study to build a bridge between the physical layer and the media access control (MAC) layer and to balance the efficiency and fairness of wireless resource allocation.
722
Dynamic resource allocation in OFDM systems: an overview of cross-layer optimization principles and techniques
TL;DR: This article provides basic knowledge in order to investigate future OFDM cross-layer-optimization issues and present selected heuristic approaches realizingcross-layer policies by means of dynamic resource allocation.
•Book
Modelling and Dimensioning of Mobile Wireless Networks: From GSM to LTE
Maciej Stasiak,Mariusz Glabowski,Arkadiusz Wisniewski,Piotr Zwierzykowski +3 more
- 08 Feb 2011
TL;DR: This book is a must-read for network planners and other professionals wishing to improve the quality and cost efficiency of 3G and LTE networks and will be an invaluable guide for professional engineers working in the areas of mobile wireless networks technology.
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Scheduling as an important cross-layer operation for emerging broadband wireless systems
TL;DR: By focusing on the air interface-centric approach, it is shown that the resource allocation problem can be formulated as an optimization problem with a certain objective function and some particular constraints.
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