Joint Interference Management in Ultra-Dense Small-Cell Networks: A Multi-Domain Coordination Perspective

Abstract

Extensive deployment of heterogeneous small cells in cellular networks results in ultra-dense small cell networks (USNs). USNs have been established as one of the vital networking architectures in the 5G to expand system capacity and augment network coverage. However, intensive deployment of cells results in a complex interference problem. In this paper, we propose a distributed multi-domain interference management scheme among cooperative small cells. The proposed scheme mitigates the interference while optimizing the overall network utility. Additionally, we jointly investigate OFDMA scheduling, TDMA scheduling, interference alignment (IA), and power control. We model small cells' coordination behavior as an overlapping coalition formation game (OCFG). In this game, each base station can make an autonomous decision and participate in more than one coalition to perform IA and suppress intra-coalition interference. To achieve this goal, we propose a distributed joint interference management (JIM) algorithm. The proposed algorithm allows each small cell base station to self-organize and interact into a stable overlapping coalition structure and reduce interference gradually from multi-domain, thus achieving an optimal tradeoff between costs and benefits. Compared with existing approaches, the proposed JIM algorithm provides appreciable performance improvement in terms of total throughput, which is demonstrated by simulation results.

Edge Intelligence for Energy-Efficient Computation Offloading and Resource Allocation in 5G Beyond

“…To utilize spectrum efficiently, all SBSs reuse the MBS's frequency resource. Orthogonal Frequency Division Multiple Access (OFDMA) is adopted in wireless networks such that the interference between the MBS and SBSs can be well suppressed [27] .…”

Interference Alignment for Cognitive Radio Communications and Networks: A Survey

“…Applications [56][57][58][59][60] Cognitive Radio Networks [30,41,47,61] K User Interference Channel [27,30,31,46,47] K User M × N MIMO Interference Channels [62,63] 5G Cellular Wireless Networks [64][65][66] Cooperative Interference Networks [66,67] Multihop Interference Networks [68,69] Ad hoc Networks [70,71] Physical Layer Security [72,73] Satellite Networks [74,75] D2D Networks [50,76] IoT Networks [34,35,38,51] Heterogeneous Networks…”

Resource Allocation Based on Interference Alignment With Clustering for Data Stream Maximization in Dense Small Cell Networks

“…When the inter-cluster interference was strong, clusters were allocated with different time slots; otherwise, they would share the same time slots. In [27], a distributed multi-domain interference management scheme jointly utilized OFDMA scheduling, TDMA scheduling, IA and power control was proposed to mitigate interference while maximizing the achievable rate of SUEs in ultra-dense SCNs; furthermore, clusters were formed through an overlapping coalition formation game, and the inter-cluster interference was mitigated by TDMA scheduling. Nevertheless, the schemes above are not suitable for supporting the data stream requirements for the massive number of SUEs in dense SCNs because they need to simultaneously access the network.…”