Analysis of Cell Load Coupling for LTE Network Planning and Optimization

Siomina, Iana; Yuan, Di

doi:10.1109/twc.2012.051512.111532

Cited by 165 publications

(216 citation statements)

References 40 publications

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“…An analytical model, called load-coupling model, widely used in literature [72,73,74], is developed to capture the characteristic between resource usage and interference. This model takes into account the load level to estimate ICI [75]. For example, the interference generated by a cell 1 to other cells depends on the load level and the transmit power per RU in cell 1, and the interference, in its turn, has impact on the load levels of other cells.…”

Section: Energy-efficient Scheduling In Ofdma Systemsmentioning

confidence: 99%

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From Orthogonal to Non-orthogonal Multiple Access: Energy- and Spectrum-Efficient Resource Allocation

Lei¹

2016

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The rapid pace of innovations in information and communication technology (ICT) industry over the past decade has greatly improved people's mobile communication experience. This, in turn, has escalated exponential growth in the number of connected mobile devices and data traffic volume in wireless networks. Researchers and network service providers have faced many challenges in providing seamless, ubiquitous, reliable, and high-speed data service to mobile users. Mathematical optimization, as a powerful tool, plays an important role in addressing such challenging issues.This dissertation addresses several radio resource allocation problems in 4G and 5G mobile communication systems, in order to improve network performance in terms of throughput, energy, or fairness. Mathematical optimization is applied as the main approach to analyze and solve the problems. Theoretical analysis and algorithmic solutions are derived. Numerical results are obtained to validate our theoretical findings and demonstrate the algorithms' ability of attaining optimal or near-optimal solutions.Five research papers are included in the dissertation. In Paper I, we study a set of optimization problems of consecutive-channel allocation in single carrier-frequency division multiple access (SC-FDMA) systems. We provide a unified algorithmic framework to optimize the channel allocation and improve system performance. The next three papers are devoted to studying energy-saving problems in orthogonal frequency division multiple access (OFDMA) systems. In Paper II, we investigate a problem of jointly minimizing energy consumption at both transmitter and receiver sides. An energy-efficient scheduling algorithm is developed to provide optimality bounds and near-optimal solutions. Next in Paper III, we derive fundamental properties for energy minimization in load-coupled OFDMA networks. Our analytical results iii suggest that the maximal use of time-frequency resources can lead to the lowest network energy consumption. An iterative power adjustment algorithm is developed to obtain the optimal power solution with guaranteed convergence. In Paper IV, we study an energy minimization problem from the perspective of scheduling activation and deactivation of base station transmissions. We provide mathematical formulations and theoretical insights. For problem solution, a column generation approach, as well as a bounding scheme are developed. Finally, towards to 5G communication systems, joint power and channel allocation in nonorthogonal multiple access (NOMA) is investigated in Paper V in which an algorithmic solution is proposed to improve system throughput and fairness. iv Populärvetenskaplig SammanfattningDen snabba utvecklingen inom informations-och kommunikations teknikområdet har avsevärt förbättrat människors upplevelser av mobilkommunikation. Detta i sin tur har lett till en exponentiellökning av antalet anslutna mobila enheter och mängden datatrafik i mobila nätverk. Forskare och nätverksoperatörer har stått inför många utmaningar för att ...

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Section: Energy-efficient Scheduling In Ofdma Systemsmentioning

confidence: 99%

“…This forms an optimization problem. Some relevant analytical results about energy savings, load balancing, and offloading can be found in [72,73,74,75].…”

Section: Energy-efficient Scheduling In Ofdma Systemsmentioning

confidence: 99%

From Orthogonal to Non-orthogonal Multiple Access: Energy- and Spectrum-Efficient Resource Allocation

Lei¹

2016

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“…Without loss of generality, it has been assumed that collisions (among active cells) occur with probability 1 as CSO schemes tend to concentrate traffic in few cells. Nevertheless, load factors < 100% can be introduced easily in the system model [18].…”

Section: A×lmentioning

confidence: 99%

“…As it was mentioned, this is important because a high number of transitions results in an undesirable number of handovers due to the CSO process and a potential negative impact on the rest of the radio resource management functionalities. The first row shows the merit of the solution in X with f 1 = 18, x 18 . Given that the NEL sorting selection indicated that such configuration is selected most of the time, it results interesting to see what happens if that configuration is applied during the whole simulation time.…”

Section: System Level Simulationsmentioning

confidence: 99%

A novel multiobjective framework for cell switch-off in dense cellular networks

González

Yanıkömeroğlu

García-Lozano

et al. 2014

2014 IEEE International Conference on Communications (ICC)

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Abstract-The green communications paradigm has been receiving much attention in wireless networks in recent years. More specifically, in the context of cellular communications, the concept of Cell Switch Off (CSO) has been recognized as a promising approach to reduce the energy consumption. The need is expected to be pressing especially in the next decade with the increasing small cell deployment. However, the cell switch on/off decisions compounded by the resource allocation task in CSO constitute a highly challenging optimization problem due to the fact that this problem can be viewed as a generalized version of the resource allocation (scheduling) problem in the conventional cellular networks without CSO, which itself is already difficult. This paper introduces a novel framework to CSO based on multiobjective evolutionary optimization.The main contribution of this paper is that the proposed multiobjective framework takes the traffic behaviour in both space and time (known by operators) into account in the optimal cell switch on/off decision making which is entangled with the corresponding resource allocation task. The exploitation of this statistical information is done in a number of ways, including through the introduction of a weighted network capacity metric. This indicator prioritizes cells which are expected to have traffic concentration resulting in on/off decisions that achieve substantial energy savings in scenarios where traffic is highly unbalanced, without compromising the QoS. The proposed framework distinguishes itself from the CSO papers in the literature in two ways: 1) The number of cell switch on/off transitions as well as handoffs are minimized. 2) The computationally-heavy part of the algorithm is executed offline, which makes the real-time implementation feasible.

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“…Существует большое количество работ, посвященных решению задач планирования сети с учетом особенностей функционирования стандартов UMTS [2][3][4][5][6], CDMA и LTE [7,8], использующих методы линейного целочисленного программирования [9][10][11][12], метаэвристические [13], игровые [14] и другие алгоритмы оптимизации.…”

Section: Introductionunclassified