Interference Coordination Vs. Interference Randomization in Multicell 3GPP LTE System

Bosisio, R.; Spagnolini, Umberto

doi:10.1109/wcnc.2008.151

Cited by 46 publications

(28 citation statements)

References 6 publications

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“…no resources are assigned for exchanging information. The interference between cells is accounted for by using the studies in [7] and [39] in a randomizing manner. The file transfer size in the downlink is 2.5MByte, while the transmission is assumed to be continuous every time slot with no HARQ retransmissions.…”

Section: Simulation Resultsmentioning

confidence: 99%

Uplink-Downlink LTE Multi Cell Capacity: A Performance Analysis in the Presence of ICI, Imperfect Channel Information and Reuse-1 Plan

Abuhaija¹

2014

IJCA

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Long Term Evolution (LTE) technology is based on Orthogonal Frequency Division Multiple Access (OFDMA) technique in the downlink to support multiple users in the same cell at the same time. Such system is known to be susceptible to Inter Cell Interference (ICI) in the downlink. The uplink technology of choice, however, has been SC-FDMA due to low power consumption requirement by the mobile terminal. In order to deliver higher data rates anywhere in the cell in the downlink, especially at the cell edge; many algorithms have been proposed for interference mitigation and avoidance which impose additional complexity on the system and yields minimum capacity enhancements. MIMO techniques have proven to be more efficient than such algorithms. In this paper, a performance analysis of LTE cell capacity is conducted in the presence of several MIMO deployments, where multiple antennas at both the transmitter and the receiver are considered. A comprehensive simulation study of different multiple antenna configurations in the presence of uplink and downlink ICI and cell edge throughput is presented. We also provide insights into the MIMO deployment of choice based on users SINR.

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Section: Simulation Resultsmentioning

confidence: 99%

Uplink-Downlink LTE Multi Cell Capacity: A Performance Analysis in the Presence of ICI, Imperfect Channel Information and Reuse-1 Plan

Abuhaija¹

2014

IJCA

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“…IM is a realizing method for wireless network communication, and it can be categorized into several types, such as interference cancellation, 22 interference coordination, 23 and interference randomization. 23 In this article, we focus on the interference cancellation, which can be realized into several techniques further, such as SIC, 24 parallel interference cancellation, 25 and iterative interference cancellation. 26 Among them, the SIC technique is preferred nowadays because of its good performance and easy implementation.…”

Section: Related Workmentioning

confidence: 99%

The mine locomotive wireless network strategy based on successive interference cancellation with dynamic power control

Shi

Gao

Wei

et al. 2017

International Journal of Distributed Sensor Networks

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Mine locomotives are widely used in mining industry for transporting. Usually, these locomotives need to move along the tunnels and communicate with access points which are equipped on the side of these tunnels. It is important to maintain high-quality communication services due to the unsafe underground working environment. In this article, we design the mine locomotive wireless network strategy based on successive interference cancellation with dynamical power control. We first divide the whole schedule time into time segments and build the problem model in each time segment. To maximize throughput for each time segment, we formulate a linear programming problem based on certain features of successive interference cancellation decoding order. However, this problem has lots of constraints which makes it hard to solve in polynomial time. Then, we propose a concept of the maximum successive interference cancellation set to reduce the problem size. Based on this concept, we propose a polynomial complexity algorithm named max-SIC-set algorithm. Simulation results show that our algorithm can increase throughput significantly compared with the algorithm using successive interference cancellation only (no power control) and with the algorithm without using successive interference cancellation and power control.

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“…As the coding is performed at the transmitter during transmission, the whole bit stream can be easily recovered at the receiving end. As interference system requires no signalling overhead for coordination among cells and less complex resource management, it is suitable for practical system [41]. …”

Section: Interference Randomizationmentioning

confidence: 99%

Interference Management in Lte Downlink Networks

Afroz¹,

Sandrasegaran²,

Kim³

2015

IJWMN

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Interference Coordination Vs. Interference Randomization in Multicell 3GPP LTE System

Cited by 46 publications

References 6 publications

Uplink-Downlink LTE Multi Cell Capacity: A Performance Analysis in the Presence of ICI, Imperfect Channel Information and Reuse-1 Plan

Uplink-Downlink LTE Multi Cell Capacity: A Performance Analysis in the Presence of ICI, Imperfect Channel Information and Reuse-1 Plan

The mine locomotive wireless network strategy based on successive interference cancellation with dynamic power control

Interference Management in Lte Downlink Networks

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