When constructing the architecture of 6G networks, it is essential to consider resources with high bandwidth, spectral efficiency, and low power consumption [3; 4]. It is anticipated that new radio (NR) 6G networks will be able to satisfy these needs with professionally managed spectrum resources to justify future data requirements and support various devices [5]. Researchers have determined that NR is a collection of radio access technologies that provide the required data with low latency, low power consumption, and high-spectrum efficiency [6; 7]. With the efficient use of an unlicensed spectrum of Wi-Fi in a 5 GHz band and the integration of massive multiple-input-multiple-output (MIMO) technology in place of the traditional MIMO system, these devices can be broadly categorized as millimeter wave (mmWave) technology for low-power small cells [8]. The use of high-spectrum access, i.e., HetNet, ethernet passive optical networks (EPON) [9], IoT [10], device-to-device (D2D) communication, mobile ad hoc networks (MANETs) [11; 12], wireless sensor networks (WSN) [13], coordinated multipoint operation (CoMP) [14], cooperative networks (CNs) using relay nodes (RNs) [15], massive-MIMO [16], cognitive radio (CR) [17], mmWave frequency band [18], and cellular cloud computing [19], provide methods that may be adapted to meet the needs of 6G networks. Ultimate outcomes may also be achieved by the ideal use of different power optimizations [20; 21], interference cancellation [22], handover procedures [23], routing protocols [24; 25], data security management [26], and scheduling algorithms [27]. Some interesting concepts for developing 6G networks are satellite communication in the mmWave band [28], machine learning-based communication [29], artificial intelligence (AI)-based micro base stations (BSs) [30], human-centric communication [31], and blockchain [32]. Recent research efforts have focused on finding ways to make cellular networks more power efficient. Since BSs account for 60-80% of total energy usage, several methods have been suggested for decreasing BS energy consumption [33]. These methods include cell switch-off, cell dispersion, and efficient power/channel allocation. Cell distribution for both heterogeneous and homogeneous cellular networks has been the subject of research [34; 35]. None of these studies, however, seem to have examined the impact of cell dispersion on  
Figure 1: Possible capabilities of 6G. power allocation (PA). In addition, other studies investigate how to minimize cellular networks' power consumption by optimal utilization of resources [36; 37; 38]. However, they have not been given any special consideration for the distribution of the cells. In order to reduce power consumption and overall interference respecting the needs of user equipment (UEs), the current studies suggest a strategy to modify the transmission power of BSs on each of the channels after a cell distribution/switch-off event [39]. Significant challenges will arise in such a network environment due to the com-plexity of mobility management [40]. Provisioning seamless mobility with exceptionally low latency is a necessary aspect of the mobility management goal for 6G networks [41]. Nonetheless, 6G mobility management mechanisms must enable rapid handover techniques, efficient signaling during mobility events, optimum and fast user-to-BS associations, service migration, and reliable route re-configuration to guarantee latency and dependability [42]. User association approaches must be effective to meet an application's QoS, avoid frequent handovers, and respect network capabilities and capacity. User association strategies will have a tremendous problem accommodating the rapidly growing number of users that 5G networks will serve [43]. Proposing efficient mode selection schemes for HetNets is essential, especially with users' mobility scenarios [44]. For mobile users, the mode selection problem is posed as deciding which communication mode to use based on the quality of the channel [45].