Joint Optimization Scheme of User Association and Channel Allocation in 6G HetNets

Abstract

The sixth-generation (6G) wireless cellular network integrates several wireless bands and modes with the objectives of improving quality of service (QoS) and increasing network connectivity. The 6G environment includes asymmetrical heterogeneous networks (HetNets) with the intention of making effective use of the available frequencies. However, selecting a suitable gNB and a communication channel that works for users in the network is an enormous challenge in 6G HetNets. This paper investigates a joint user association (UA) and channel allocation (CA) problem in two-tier HetNets by considering the downlink scenario to improve QoS. Our study presents an innovative scheme for user association and channel allocation, wherein the user can be connected to either the macro base station (MBS) or a possible small base station (SBS) in a direct or relay-assisted link. Furthermore, the proposed scheme identifies the optimal channel to be allocated to each user so that the overall network QoS can be maximized. A symmetric matching game-based user association is proposed to find the optimal association for users. Moreover, a modified auction game is applied to allocate the optimal channel by considering the quota of each gNB. Regarding connection probability, throughput, energy efficiency (EE), and spectrum efficiency (SE), the simulation results show that the proposed approach performs well over the state-of-the-art techniques.

Joint Mode Selection and Resource Allocation for Underlaying D2D Communications: Matching Theory

“…In Fig. 7, the average data rate is demonstrated for various number of channels (10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20). The proposed method clearly achieves a higher average data rate in the proposed scenario S2 when compared to proposed scenario S1, proposed scenario S3, and benchmark algorithms.…”

“…The overall system performance has shown significant improvement. The mode selection matrix can be given by: X = (𝑋 (𝐷) , 𝑋 (𝑅) , 𝑋 (𝐿) ) 𝑁 * 3 (10) Where each submatrix represents a mode selection matrix. The element of the set X is a binary indicator, indicating that all the elements can only represented by either 0 or 1.…”

“…The Relay-assisted Mode (RM) has emerged to facilitate the establishment of connections between D2D pairs that are situated at a further distance from each other. Furthermore, the RM aims to improve the performance of D2D communications [10] [11]. A Relay User Equipment (RUE) is selected from a set of idle UEs in close proximity to a D2D pair.…”

6G Mobile Networks: Key Technologies, Directions, and Advances

“…Additionally, edge computing and artificial intelligence work together to lower budgets while improving customer satisfaction. The development of the 6G framework should take into account the potential applications of AI in networks in great detail and adopt an AI-driven strategy wherein intellect will become an inherent feature of the 6G architecture [38]. A small and remote network object can alter the design in a smart way depending on a number of preset choices in a unique but predictable way, according to the baseline knowledge.…”