Abstract

The increasingly diversified Quality-of-Service (QoS) requirements envisioned for future wireless networks call for more flexible and inclusive multiple access techniques in 6G for supporting emerging applications and communication scenarios. To achieve this, we propose a multi-dimensional multiple access (MDMA) protocol to meet individual User Equipment’s (UE’s) unique QoS demands while utilizing multi-dimensional radio resources cost-effectively. In detail, the proposed scheme consists of two novel aspects, i.e., selection of a tailored multiple access mode for each UE while considering the UE-specific radio resource utilization cost caused by non-orthogonal interference cancellation; and multi-dimensional radio resource allocation among coexisting UEs under dynamic network conditions. To reduce the UE-specific resource utilization cost, the base station (BS) organizes UEs with disparate multi-domain resource constraints as UE coalition by considering each UE’s specific resource availability, perceived quality, and utilization capability. Each UE within a coalition could utilize its preferred radio resources, which leads to low utilization cost while avoiding resource-sharing conflicts with remaining UEs. Furthermore, to meet UE-specific QoS requirements and varying resource conditions at the UE side, the multi-dimensional radio resource allocation among coexisting UEs is formulated as an optimization problem to maximize the summation of cost-aware utility functions of all UEs. A solution to solve this NP-hard problem with low complexity is developed using the successive convex approximation and the Lagrange dual decomposition methods. The effectiveness of our proposed scheme is validated by numerical simulation and performance comparison with state-of-the-art schemes. In particular, the simulation results demonstrate that our proposed scheme outperforms these benchmark schemes by large margins.

Highlights

  • T HE continuous momentum of data traffic growth and dramatic expansion of diverse services and vertical appli-Manuscript received August 19, 2021; revised November 13, 2021, accepted December 16, 2021

  • Though these works provide a generalized framework for multi-dimensional radio resource utilization, there is a lack of analysis for resource characteristics, perceived value and utilization cost in different resource domains experienced by individual users

  • In achieving individualized QoS provisioning in 6-th generation (6G), we propose a flexible multi-dimensional multiple access (MDMA) scheme in this paper, which can be viewed as a converged multiple access technique of OMA, power-domain NOMA, and spatial-domain NOMA

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Summary

INTRODUCTION

T HE continuous momentum of data traffic growth and dramatic expansion of diverse services and vertical appli-. Cations are bringing many challenges to the development of the envisioned 6-th generation (6G) wireless networks. With the anticipated seven-fold growth of mobile data traffic in 2022 compared to 2017 [1], future 6G networks are expected to support significantly higher data rates. A wide variety of emerging services and applications are expected to be supported by 6G, e.g., smart manufacturing, augmented reality, which require diverse, application-specific and individualized service provisioning in terms of data rate, latency, reliability, and power consumption [2], [3]

Motivation
Related Works
Contributions
SYSTEM MODEL AND PROBLEM FORMULATION
Channel Model
Cost-Aware MDMA for Individualized Service Provisioning
Problem Formulation
PROPOSED SOLUTION FOR TARGET PROBLEM
Stage I–UE Coalition Formation
Initialization
Stage II–Real-time Multi-dimensional Resource Allocation
Simulation Setup
Experiment Result Analysis
Proposed Scheme RSMA MIMO-NOMA
CONCLUSIONS
Proof of Proposition 1
Full Text
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