2015
DOI: 10.1016/j.dcan.2015.01.002
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Joint duplex mode selection, channel allocation, and power control for full-duplex cognitive femtocell networks

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Cited by 52 publications
(42 citation statements)
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“…However, the authors tackle the problem of the UE-to-UE interference from an information theoretic perspective, without relating to resource allocation and power control. Conversely, some works consider the joint subcarrier and power allocation problem [8] and the joint duplex mode selection, channel allocation, and power control problem [9] in FD networks. The cellular network model in [8] is applicable to FD mobile nodes rather than to networks operating in TNFD mode.…”
Section: Introductionmentioning
confidence: 99%
“…However, the authors tackle the problem of the UE-to-UE interference from an information theoretic perspective, without relating to resource allocation and power control. Conversely, some works consider the joint subcarrier and power allocation problem [8] and the joint duplex mode selection, channel allocation, and power control problem [9] in FD networks. The cellular network model in [8] is applicable to FD mobile nodes rather than to networks operating in TNFD mode.…”
Section: Introductionmentioning
confidence: 99%
“…The authors in [10] mitigate the intra-cell interference in 3NT via optimized channel and power allocation. However, the algorithms in [6], [10] require the knowledge of instantaneous mutual channel state information between interfering UEs, which is hard to estimate and/or communicate.…”
Section: Introductionmentioning
confidence: 99%
“…The authors in [10] mitigate the intra-cell interference in 3NT via optimized channel and power allocation. However, the algorithms in [6], [10] require the knowledge of instantaneous mutual channel state information between interfering UEs, which is hard to estimate and/or communicate. A practical way to mitigate the intra-cell interference is to pair interfering UEs based on their statistical mutual channel conditions, which requires statistical studies for the intra-cell interference.…”
Section: Introductionmentioning
confidence: 99%
“…The authors in [8] proposed an interference alignment technique to eliminate the inter-user interference between the UEs pair coupled on the same channel. The authors in [11] mitigate the interuser interference via an optimal channel allocation and power control that maximizes the system performance. In addition, in [12], [13] the authors investigate the user scheduling and power allocation by maximizing the system sum rate.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, in [12], [13] the authors investigate the user scheduling and power allocation by maximizing the system sum rate. However, the algorithms in [8], [11]- [13] require the instantaneous mutual channel state information between UEs, which is hard to estimate and/or communicate. A more practical way to mitigate the inter-user interference is to pair interfering users in the 3NT based on their statistical mutual channel conditions, which requires statistical studies for the inter-user interference problem.…”
Section: Introductionmentioning
confidence: 99%