A channel allocation method for multi-cell OFDMA-FDD networks

Nguyen, Quoc Khuong; Nguyen, Van Duc; Nguyen, Quoc Trung; Ha, Duyen Trung

doi:10.1109/icce.2010.5670716

Cited by 4 publications

(4 citation statements)

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“…Assuming that the packets violating the delay constraint are lost, this scheme evaluates the packet loss probability and throughput. The simulation result shows that this scheme is better than Round Robin, Exponential Scheduling (EXP) and Modified Largest Weighted Delay First (M-LWDF) schemes, for real-time traffic in terms of both packet loss probability and throughput [41]. In [42] a RA scheme is proposed for downlink of a cellular orthogonal frequency division multi-access (OFDMA) system.…”

Section: Localized Channel Sharing (Lcs) Schemementioning

confidence: 97%

“…In OFDMA networks optimal resource allocation requires complete information about the network to decide which users, in which cells should transmit their data at which level of transmitting power [41]. As in OFDMA systems, the multiple users signals are separated in the time and/or frequency domains.…”

Section: Localized Channel Sharing (Lcs) Schemementioning

confidence: 99%

“…In [41] a mathematical model is described for the differentiated behaviors of packet scheduling according to the delay constraint level, and a decision parameter is eventually derived to make a decision of whether a given packet should be transmitted at current OFMDA transmit time interval (TTI) or would be tolerable for delay to the next TTI. Assuming that the packets violating the delay constraint are lost, this scheme evaluates the packet loss probability and throughput.…”

Section: Localized Channel Sharing (Lcs) Schemementioning

confidence: 99%

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Issues, challenges and problems in channel allocation in cellular system

Mishra

Saxena

2011

2011 2nd International Conference on Computer and Communication Technology (ICCCT-2011)

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Cellular communication has changed the dimensions of communication by offering the ease of ubiquity to the users. The bandwidth available for a cellular system is always limited. With the increase in multimedia applications and ever increasing demand of wireless devices supporting higher data rate flow, cellular systems, in general, always face scarcity of channels. In cellular systems, utilization of channels has been one of the very important areas of research along with power management, location tracking etc. Efficient and effective allocation of channels for cellular networks has become an extremely important topic of recent research. The different types of emerging services require real time support and uninterrupted communication, having more strict QoS requirements. In this paper we have explored different issues and challenges involved in channel allocations in cellular systems and also highlighted some of the channel allocation schemes proposed in the literature.

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Section: Localized Channel Sharing (Lcs) Schemementioning

confidence: 97%

Section: Localized Channel Sharing (Lcs) Schemementioning

confidence: 99%

Section: Localized Channel Sharing (Lcs) Schemementioning

confidence: 99%

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Issues, challenges and problems in channel allocation in cellular system

Mishra

Saxena

2011

2011 2nd International Conference on Computer and Communication Technology (ICCCT-2011)

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“…In the downlink of an FDD system, BS sends pilot and user equipment estimates the CSI of the downlink and feeds it back to the BS. The length of the orthogonal pilot sequence is usually proportional to the number of antennas at the BS, and the increase in the number of antennas generates a huge system overhead [10][11][12]. Existing channel estimation schemes include FDD-based compressive sensing methods [13] and robust super-resolution methods [14].…”

Section: Introductionmentioning

confidence: 99%

Millimeter Wave Wireless Channel Knowledge Map Construction Based on Path Matching and Environment Partitioning

Li,

Gao,

Zhang

et al. 2023

Wireless Communications and Mobile Computing

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Key technologies in 5G and future 6G, such as millimeter wave massive multiple-input multiple-output (MIMO), relies accurate channel state information (CSI). However, when the number of base station (BS) antenna increases or the number of users is large, it is rather resource-consuming to obtain the CSI. Channel knowledge map (CKM) is an emerging environment-aware wireless communication technology, which stores the physical coordinates of BS and reference locations together with the corresponding channel path information. This makes it possible to obtain CSI with light or even without pilots, which can significantly reduce the overhead of channel estimation and improve system performance, especially suitable for quasi-static wireless environments with relatively stable channels and communication systems using millimeter waves, terahertz waves, visible light, and so on. The main challenge for CKM is how to construct an accurate CKM based on finite measurement data points at limited reference locations. In this work, we proposed a novel CKM construction method based on path matching and environmental partitioning (PMEP-CC) to address the above issues. Specifically, we first sort the propagation paths between reference locations, map them to a high-dimensional space to establish the path correlation coefficient between two reference locations. Then, the communication region are divided into different subregions based on its spatial correlation. Finally, the path information at locations where no measurements are available are estimated based on the known path information within the subregion to construct CKM. Numerical results are provided to show the performance of the proposed method over related studies.

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