Energy efficient coordinated radio resource management: a two player sequential game modelling for the long-term evolution downlink

Turyagyenda, Charles; O’Farrell, T.; Guo, Weisi

doi:10.1049/iet-com.2011.0808

Cited by 11 publications

(18 citation statements)

References 21 publications

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“…Fig. 5 shows the simulation results of peak cell capacity versus normalized cell traffic load for a variety of static and dynamic interference mitigation schemes [13], [14]. The baseline is a hard frequency reuse 1 (HFR1) scheme, which shows a peak capacity of 58 Mbps/cell when the cells are unloaded (i.e., minimum inter-cell interference).…”

Section: B Simulation Resultsmentioning

confidence: 99%

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Coexistence of Wi-Fi and heterogeneous small cell networks sharing unlicensed spectrum

et al. 2015

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As two major players in terrestrial wireless communications, Wi-Fi systems and cellular networks have different origins and have largely evolved separately. Motivated by the exponentially increasing wireless data demand, cellular networks are evolving towards a heterogeneous and small cell network architecture, wherein small cells are expected to provide very high capacity. However, due to the limited licensed spectrum for cellular networks, any effort to achieve capacity growth through network densification will face the challenge of severe inter-cell interference. In view of this, recent standardization developments have started to consider the opportunities for cellular networks to use the unlicensed spectrum bands, including the 2.4 GHz and 5 GHz bands that are currently used by Wi-Fi, Zigbee and some other communication systems. In this article, we look into the coexistence of Wi-Fi and 4G cellular networks sharing the unlicensed spectrum. We introduce a network architecture where small cells use the same unlicensed spectrum that Wi-Fi systems operate in without affecting the performance of Wi-Fi systems. We present an almost blank subframe (ABS) scheme without priority to mitigate the co-channel interference from small cells to Wi-Fi systems, and propose an interference avoidance scheme based on small cells estimating the density of nearby Wi-Fi access points to facilitate their coexistence while sharing the same unlicensed spectrum. Simulation results show that the proposed network architecture and interference avoidance schemes can significantly increase the capacity of 4G heterogeneous cellular networks while maintaining the service quality of Wi-Fi systems.

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Section: B Simulation Resultsmentioning

confidence: 99%

“…The disadvantage with a TDD-based coordinated interference avoidance scheme is the need for two prerequisites [14]: (1)…”

Section: Discussion and Challengesmentioning

confidence: 99%

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Coexistence of Wi-Fi and heterogeneous small cell networks sharing unlicensed spectrum

et al. 2015

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“…5 show an implementation of the proposed interference avoidance scheme, in comparison with a baseline hard frequency reuse 1 setup, and a Sequential Game Coordinated (SGC) interference avoidance scheme [7]. The simulation parameters can be found in Table I. 1) Low Traffc Regime: At a low cell activity level, which corresponds to a low traffic load in the area, the overall interference power received at any point is low.…”

Section: Interference Avoidance Resultsmentioning

confidence: 99%

Downlink interference estimation without feedback for heterogeneous network interference avoidance

Wang

Guo

McDonnell

2014

2014 21st International Conference on Telecommunications (ICT)

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Abstract-In this paper, we present a novel method for a base station (BS) to estimate the total downlink interference power received by any given mobile receiver, without information feedback from the user or information exchange between neighbouring BSs. The prediction method is deterministic and can be computed rapidly. This is achieved by first abstracting the cellular network into a mathematical model, and then inferring the interference power received at any location based on the power spectrum measurements taken at the observing BS. The analysis expands the methodology to a K-tier heterogeneous network and demonstrates the accuracy of the technique for a variety of sampling densities. The paper demonstrates the methodology by applying it to an opportunistic transmission technique that avoids transmissions to channels which are overwhelmed by interference. The simulation results show that the proposed technique performs closely or better than existing interference avoidance techniques that require information exchange, and yields a 30% throughput improvement over baseline configurations.

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“…We will primarily focus on the scheduling techniques used to avoid interference between cofrequency transmitters. It has been demonstrated that interference avoidance can be partially and completely achieved through coordinated scheduling techniques between transmitter pairs on a dynamic level using either pre-set or learning algorithms [13], [14]. This has a similar philosophy and performance to hard-or soft-frequency-reuse (SFR) schemes [15].…”

Section: Review: Interference Managementmentioning

confidence: 99%

Interference Allocation Scheduler for Green Multimedia Delivery

Wang

Guo

Khirallah

et al. 2014

IEEE Trans. Veh. Technol.

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One of the key challenges in wireless networking is how to allocate the available radio resources in order to maximise key service delivery parameters such as the aggregate throughput and the multimedia quality of experience (QoE). We propose a novel and effective scheduling policy that allocates resource blocks, such that interference power is shifted towards capacity-saturated users, while improving the throughput of unsaturated users. The highlight of the research is that the proposed scheme can dramatically improve the performance of cells that have a high discrepancy in its signal-to-noise-ratio (SNR) distribution, which is typical in urban areas. The results show that a \emph{free-lunch} solution is possible, whereby for a negligible performance degradation in the saturated users, a large improvement in the non-saturated users can be obtained. However, on average, the number of free-lunch user pairings are low. By relaxing the degradation constraints, the \emph{non-free-lunch} solution can yield a greater multi-user throughput gain. Motivated by surge in mobile multimedia traffic, we further demonstrate that the proposed scheduling may have a profound impact on both energy efficiency and QoE of multimedia service delivery.Comment: 29 pages, 9 figure

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Energy efficient coordinated radio resource management: a two player sequential game modelling for the long-term evolution downlink

Cited by 11 publications

References 21 publications

Coexistence of Wi-Fi and heterogeneous small cell networks sharing unlicensed spectrum

Coexistence of Wi-Fi and heterogeneous small cell networks sharing unlicensed spectrum

Downlink interference estimation without feedback for heterogeneous network interference avoidance

Interference Allocation Scheduler for Green Multimedia Delivery

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