Performance of successive interference cancellation technique in IEEE 802.11 based WLANs

Subaid, Rakib; Hasan, Rakibul; Ahmed, Syed Z.; Uddin, Forkan

doi:10.1109/iciev.2013.6572685

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…The proposed method for user clustering is consistent with the essence of NOMA technology and we show in the numerical simulations section that it will improve the users sum rate maximizing according. In fact, based on NOMA technology fairness, we are looking to add a new term to relation (20) so that conditions for adding new users to clusters with large number of users become more difficult and limited. The new proposed method for users clustering is described as follows:…”

Section: -3) Proposed Methods For Assigning Users To Clustersmentioning

confidence: 99%

“…While in this paper, an effective and efficient method is proposed to guarantee the correct implementation of the SIC algorithm in each receiver. In NOMA systems, the SIC technique is performed correctly by the stronger user and decodes the signal successfully when the SINR value received at the receiver is not less than a certain threshold level [20]. In fact, based on (11), the SIC algorithm in NOMA technology is executed correctly under the specific condition.…”

Section: 𝐰 𝐺 ] (𝟏)mentioning

confidence: 99%

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Resource Allocation of Massive MIMO NOMA Networks with SWIPT-NOMA Technology

Shirzad,

Andargoli

2023

Preprint

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Massive Multi Input Multi Output (MIMO) and Non-Orthogonal Multiple Access (NOMA) techniques have emerged as revolutionary techniques to improve the spectrum efficiency for 5G systems. In this paper, user grouping and power allocation are investigated in NOMA based massive MIMO networks with Simultaneous Wireless Information and Power Transfer (SWIPT). We use the Zero Forcing (ZF) beamforming method to group users then the NOMA technique is applied to establish multiple access for the users of each group. In order to cluster the users, we propose a novel method for cluster head selection and user assignment to the group in which challenges related to Successive interference Cancellation (SIC) implementation are considered. In the following, we formulate the sum rate maximization problem based on jointly optimizing power allocation and power splitting factors. Since the formulated optimization problem is a non-convex optimization problem, it is converted to the convex form by some lemmas and relaxations. The relaxed problem is solved by the CVX toolbox of MATLAB software. Simulation results show that proposed strategies improve the sum rate in comparison with benchmark algorithms while the NOMA requirements are satisfied and the implementation challenges are handled.

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Section: -3) Proposed Methods For Assigning Users To Clustersmentioning

confidence: 99%

Section: 𝐰 𝐺 ] (𝟏)mentioning

confidence: 99%