2019
DOI: 10.1109/twc.2019.2909884
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Max-Min Fairness User Scheduling and Power Allocation in Full-Duplex OFDMA Systems

Abstract: In a full-duplex (FD) multi-user network, the system performance is not only limited by the self-interference but also by the co-channel interference due to the simultaneous uplink and downlink transmissions. Joint design of the uplink/downlink transmission direction of users and the power allocation is crucial for achieving high system performance in the FD multi-user network. In this paper, we investigate the joint uplink/downlink transmission direction assignment (TDA), user paring (UP) and power allocation… Show more

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Cited by 23 publications
(19 citation statements)
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References 37 publications
(132 reference statements)
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“…When R-MECS works in full-duplex mode, it will bring self-interference to its receiver and cannot be canceled completely due to the hardware limitation. We describe the residual self-interference with the self-interference channel gain g R n as a linear coefficient ρ [44]. The residual self-interference in n-th subchannel is denoted as ρq n g R n 2 , and q n is the transmission power from R-MECS to eavesdropper in subchannel n. Specially, for the self-interference, we assume E g R…”
Section: Secure Computation Offloading Over Noma-based Mmtc Network a Secure Computation Offloading Energy Efficiencymentioning
confidence: 99%
“…When R-MECS works in full-duplex mode, it will bring self-interference to its receiver and cannot be canceled completely due to the hardware limitation. We describe the residual self-interference with the self-interference channel gain g R n as a linear coefficient ρ [44]. The residual self-interference in n-th subchannel is denoted as ρq n g R n 2 , and q n is the transmission power from R-MECS to eavesdropper in subchannel n. Specially, for the self-interference, we assume E g R…”
Section: Secure Computation Offloading Over Noma-based Mmtc Network a Secure Computation Offloading Energy Efficiencymentioning
confidence: 99%
“…The parameter c is the step-size. Lines (8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23) verify that the temporal demand constraints and dual feasibility conditions are satisfied. The computational complexity of the algorithm is proportional to the number of virtual users which is O(n 2 ).…”
Section: B Practical Construction Algorithmsmentioning
confidence: 99%
“…For a given pair of threshold vectors (λ n UL , λ n DL ) the steps in the corresponding ATBS strategy is described in Algorithm 2. In this algorithm, at each time-slot Equations (18) and (19) The proof follows by similar arguments as in the proof of Theorem 4 in [17] and is omitted due to space limitations.…”
Section: Algorithm 1 Heuristic Threshold Optimization In Tbsmentioning
confidence: 99%
“…Thus, BD-transmits information to the FD-AP at the th time slot while the FD-AP is simultaneously transmitting messages to the LU on the same spectrum. For the latter, OFMDA FD systems have been investigated in cellular systems to improve spectrum efficiency [118][119][120][121]. In such OFDMA cellular systems, each subcarrier supports one uplink user and one downlink user.…”
Section: Towards Multi-user Hbd Communicationsmentioning
confidence: 99%
“…The limit of one uplink and downlink user pair per resource block stems from the need to avoid uplink interference at the downlink Chapter 2. Addressing Spectrum Efficiency Through Hybrid-Duplex Communications: A Literature Review user, e.g., at the EH user in FD-WPCN [116] and downlink user in OFDMA FD cellular systems [121]. For CDMA-based FD-systems, spectrum efficiency comes at the cost of SI, interference due to CDMA code correlation, and computational complexity.…”
Section: Towards Multi-user Hbd Communicationsmentioning
confidence: 99%