2021
DOI: 10.1109/tvt.2021.3077270
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Power Allocation Algorithms for Stable Successive Interference Cancellation in Millimeter Wave NOMA Systems

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Cited by 16 publications
(9 citation statements)
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“…• Calculate the preference value 𝛾 n,m (i ) for each S n ∈  based on Equation (26), and sort the preference values 𝛾 n,m (i ) in descending order to obtain the preference list  n (i ) according to Equation ( 28). • Calculate the preference value 𝜂 m,n (i ) for each G m ∈  based on Equation (27), and sort the preference values 𝜂 m,n (i ) in descending order to obtain the preference list  m (i ) according to Equation (29).…”
Section: Phase 2: Preference List Constructionmentioning
confidence: 99%
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“…• Calculate the preference value 𝛾 n,m (i ) for each S n ∈  based on Equation (26), and sort the preference values 𝛾 n,m (i ) in descending order to obtain the preference list  n (i ) according to Equation ( 28). • Calculate the preference value 𝜂 m,n (i ) for each G m ∈  based on Equation (27), and sort the preference values 𝜂 m,n (i ) in descending order to obtain the preference list  m (i ) according to Equation (29).…”
Section: Phase 2: Preference List Constructionmentioning
confidence: 99%
“…When IoT device Sn$S_n$ selects channel Ck$C_k$ for data transmission to gateway Gm$G_m$, the received signal to interference plus noise ratio (SINR) SINRn,m,k(t)$\text{SINR}_{n,m,k}(t)$ is given by [26] SINRn,m,kfalse(tfalse)=Pngn,m,kN0,k+SnscriptSscriptSnzn,kfalse(tfalse)Pnhn,m,kfalse(tfalse),\begin{align} \text{SINR}_{n,m,k}(t)&=\frac{P_{n}g_{n,m,k}}{N_{0,k}+\sum _{S_{n^{\prime }}\in \mathcal {S}\backslash \mathcal {S}_{n}}z_{n^{^{\prime }},k}(t)P_{n^{\prime }}h_{n^{\prime },m,k}(t)}, \end{align}where gn,m,k$g_{n,m,k}$ is the channel gain between Sn$S_n$ and Gm$G_m$ on Ck$C_k$, N0,k$N_{0,k}$ represents noise power, and SnS…”
Section: System Modelmentioning
confidence: 99%
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“…The power allocation problem of NOMA has been widely concerned. In [9], a user grouping and power allocation algorithm based on the NOMA system is proposed to ensure the stability of SIC, and it also avoids serious performance degradation caused by error propagation. In [10], the authors studied the optimal power allocation among users which guarantees quality of service for weighted sum-rate maximization in downlink NOMA networks.…”
Section: Introductionmentioning
confidence: 99%