Multi-objective Resource Allocation for D2D and Enabled MC-NOMA Networks by Tchebycheff Method

TL;DR

This paper addresses resource allocation in D2D and MC-NOMA networks by formulating a multi-objective optimization problem and solving it with the Tchebycheff method and monotonic optimization, revealing tradeoffs between D2D and cellular users.

Contribution

It introduces a novel multi-objective optimization framework for resource allocation in D2D and MC-NOMA networks using the Tchebycheff method and monotonic optimization for optimal solutions.

Findings

Tradeoff between D2D and cellular user sum rates

Effective resource allocation with power and data rate constraints

Optimal solutions achieved through the proposed method

Abstract

This paper considers a resource allocation problem in device-to-device (D2D) communications sharing the same frequency spectrum. In particular, the CUs utilize non-orthogonal multiple access (NOMA) while DUs adopt the orthogonal frequency division multiple access (OFDMA). A multi-objective optimization problem (MOOP) is formulated, which jointly maximizes the sum rate of D2D and CUs (CUs) in uplink communications while taking into account the maximum transmit power budget and minimum data rate requirement for D2D and CUs. This MOOP is handled by the weighted Tchebycheff method, which converts it into a single-objective optimization (SOOP). Then, the monotonic optimization approach is employed to solve this SOOP optimally. Numerical results unveil an interesting tradeoff between D2D and CUs.