Power Allocation and User Clustering for Uplink MC-NOMA in D2D Underlaid Cellular Networks | IEEE Journals & Magazine | IEEE Xplore

Power Allocation and User Clustering for Uplink MC-NOMA in D2D Underlaid Cellular Networks


Abstract:

In this letter, the resource allocation problem for uplink multi-carrier non-orthogonal multiple access (NOMA) in device-to-device (D2D) underlaid cellular networks is in...Show More

Abstract:

In this letter, the resource allocation problem for uplink multi-carrier non-orthogonal multiple access (NOMA) in device-to-device (D2D) underlaid cellular networks is investigated. Due to the existence of D2D pairs, NOMA users are subject to varying degrees of interference. We formulate the problem as a Nash bargaining game to maximize the Nash product of each user. We propose an iterative algorithm applying Karush-Kuhn-Tucker conditions to solve the power allocation problem and modeling the user clustering as a Hedonic coalition game. Simulation results verify the convergence of the proposed algorithms. Besides, the algorithms achieve near-optimal performance compared to exhaustive search method and the throughput and fairness in NOMA are both higher than those in orthogonal multiple access.
Published in: IEEE Wireless Communications Letters ( Volume: 7, Issue: 6, December 2018)
Page(s): 1030 - 1033
Date of Publication: 08 June 2018

ISSN Information:


References

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