PRIORITY ALLOCATION METHOD OF THE BANDWIDTH DOWNLINK OF LTE TECHNOLOGY

The results of developing a method of distribution of the frequency and time resources downlink technology LTE were presented. The proposed method is aimed to ensure the quality of service of wireless for users by allocating the user station required capacity in the downlink. A comparative analysis were done of the proposed method with known solutions of distribution time-frequency resources of LTE technology in terms of the overall performance of the downlink, the degree of balancing capacity, as well as the confidence level allocating user stations required capacity.Приведены результаты разработки метода распределения частотного и временного ресурсов нисходящего канала связи технологии LTE. Предложенный метод направлен на обеспечение гарантированного качества обслуживания пользователей беспроводной сети путем выделения пользовательским станциям требуемой пропускной способности в нисходящем канале связи. Проведен сравнительный анализ предложенного метода с известными решениями распределения частотно-временного ресурса технологии LTE с точки зрения обеспечения общей производительности нисходящего канала связи, степени балансировки пропускной способности, а также доверительной вероятности выделения пользовательским станциям требуемой пропускной способности.Наведено результати розробки методу розподілу частотного і часового ресурсів низхідного каналу зв’язку технології LTE. Запропонований метод напрямлений на забезпечення гарантованої якості обслуговування користувачів бездротової мережі шляхом виділення користувальницькою станціям необхідної пропускної спроможності в низхідному каналі зв’язку. Проведено порівняльний аналіз запропонованого методу з відомими рішеннями розподілу частотно-часового ресурсу технології LTE з точки зору забезпечення загальної продуктивності низхідного каналу зв’язку, ступеня балансування пропускної спроможності, а також довірчої ймовірності виділення користувальницькою станціям необхідної пропускної здатності.

Approximations of the aggregated interference statistics for outage analysis in massive MTC

This paper presents several analytic closed-form approximations of the aggregated interference statistics within the framework of uplink massive machine-type-communications (mMTC), taking into account the random activity of the sensors. Given its discrete nature and the large number of devices involved, a continuous approximation based on the Gram–Charlier series expansion of a truncated Gaussian kernel is proposed. We use this approximation to derive an analytic closed-form expression for the outage probability, corresponding to the event of the signal-to-interference-and-noise ratio being below a detection threshold. This metric is useful since it can be used for evaluating the performance of mMTC systems. We analyze, as an illustrative application of the previous approximation, a scenario with several multi-antenna collector nodes, each equipped with a set of predefined spatial beams. We consider two setups, namely single- and multiple-resource, in reference to the number of resources that are allocated to each beam. A graph-based approach that minimizes the average outage probability, and that is based on the statistics approximation, is used as allocation strategy. Finally, we describe an access protocol where the resource identifiers are broadcast (distributed) through the beams. Numerical simulations prove the accuracy of the approximations and the benefits of the allocation strategy.Peer ReviewedPostprint (published version

Towards Massive Machine Type Communications in Ultra-Dense Cellular IoT Networks: Current Issues and Machine Learning-Assisted Solutions

The ever-increasing number of resource-constrained Machine-Type Communication (MTC) devices is leading to the critical challenge of fulfilling diverse communication requirements in dynamic and ultra-dense wireless environments. Among different application scenarios that the upcoming 5G and beyond cellular networks are expected to support, such as eMBB, mMTC and URLLC, mMTC brings the unique technical challenge of supporting a huge number of MTC devices, which is the main focus of this paper. The related challenges include QoS provisioning, handling highly dynamic and sporadic MTC traffic, huge signalling overhead and Radio Access Network (RAN) congestion. In this regard, this paper aims to identify and analyze the involved technical issues, to review recent advances, to highlight potential solutions and to propose new research directions. First, starting with an overview of mMTC features and QoS provisioning issues, we present the key enablers for mMTC in cellular networks. Along with the highlights on the inefficiency of the legacy Random Access (RA) procedure in the mMTC scenario, we then present the key features and channel access mechanisms in the emerging cellular IoT standards, namely, LTE-M and NB-IoT. Subsequently, we present a framework for the performance analysis of transmission scheduling with the QoS support along with the issues involved in short data packet transmission. Next, we provide a detailed overview of the existing and emerging solutions towards addressing RAN congestion problem, and then identify potential advantages, challenges and use cases for the applications of emerging Machine Learning (ML) techniques in ultra-dense cellular networks. Out of several ML techniques, we focus on the application of low-complexity Q-learning approach in the mMTC scenarios. Finally, we discuss some open research challenges and promising future research directions.Comment: 37 pages, 8 figures, 7 tables, submitted for a possible future publication in IEEE Communications Surveys and Tutorial

A Comprehensive Survey of Potential Game Approaches to Wireless Networks

Potential games form a class of non-cooperative games where unilateral improvement dynamics are guaranteed to converge in many practical cases. The potential game approach has been applied to a wide range of wireless network problems, particularly to a variety of channel assignment problems. In this paper, the properties of potential games are introduced, and games in wireless networks that have been proven to be potential games are comprehensively discussed.Comment: 44 pages, 6 figures, to appear in IEICE Transactions on Communications, vol. E98-B, no. 9, Sept. 201

Cognitive Orthogonal Precoder for Two-tiered Networks Deployment

In this work, the problem of cross-tier interference in a two-tiered (macro-cell and cognitive small-cells) network, under the complete spectrum sharing paradigm, is studied. A new orthogonal precoder transmit scheme for the small base stations, called multi-user Vandermonde-subspace frequency division multiplexing (MU-VFDM), is proposed. MU-VFDM allows several cognitive small base stations to coexist with legacy macro-cell receivers, by nulling the small- to macro-cell cross-tier interference, without any cooperation between the two tiers. This cleverly designed cascaded precoder structure, not only cancels the cross-tier interference, but avoids the co-tier interference for the small-cell network. The achievable sum-rate of the small-cell network, satisfying the interference cancelation requirements, is evaluated for perfect and imperfect channel state information at the transmitter. Simulation results for the cascaded MU-VFDM precoder show a comparable performance to that of state-of-the-art dirty paper coding technique, for the case of a dense cellular layout. Finally, a comparison between MU-VFDM and a standard complete spectrum separation strategy is proposed. Promising gains in terms of achievable sum-rate are shown for the two-tiered network w.r.t. the traditional bandwidth management approach.Comment: 11 pages, 9 figures, accepted and to appear in IEEE Journal on Selected Areas in Communications: Cognitive Radio Series, 2013. Copyright transferred to IEE

The Model of Time and Frequency Resource Scheduling in Downlink LTE

We apply the result of the model of time and frequency resource scheduling in downlink LTE development. The given model is directed upon securing the wireless network users being served by the allocation to user equipment required transmission rates. We completed comparative analysis of the offered model with existing methods from the point of view of securing the common productivity of downlink, level of bandwidth balancing, possibility of allocation to users equipment required transmission rate. We showed that the offered model under the highly required conditions to the transmission rate of user equipment in comparison with known methods let increase the bandwidth balancing of downlink for 5-20 % and 40-100 % to increase possibility of allocation the required transmission rate to user equipment