UAV-aided Multi-Way Communications

Abstract

Multi-way and device-to-device (D2D) communications are currently considered for the design of future communication systems. Unmanned aerial vehicles (UAVs) can be effectively deployed to extend the communication range of D2D networks. To model the UAV-D2D interaction, we study a multi-antenna multi-way channel with two D2D users and an intermittently available UAV node. The performance in terms of sum-rate of various transmission schemes is compared. Numerical results show that for different ground environments, the scheme based on a combination of interference alignment, zero-forcing and erasure-channel treatment outperforms other schemes at low, medium and high SNRs and thus represents a viable transmission strategy for UAV-aided multi-way D2D networks.Index Terms-UAV, multi-way communication, D2D, interference alignment.

Joint Communication and Computation in Hybrid Cloud/Mobile Edge Computing Networks

“…Initially, the mixedinteger nature of constraint (3) is tackled using a heuristic 0 -norm approximation. Subsequently, SCA finds a convex upper-bound to tackle the non-convex nature of the relaxed constraint (9). After introducing an auxiliary variable, FP decouples the numerator and denominator in (1).…”

“…The topic considered in this paper is related to the general context of resource management in cloud-radio access networks [4], [5], and MEC-based works focusing on computation [2], [6], [7] and communication [3], [8], [9]. Unmanned aerial vehicles (UAV)-assisted MEC has been recognized as a promising 6G network technique for allowing flexible deployment, on-demand service, and enhanced connectivity [3], [10], [11].…”

“…Due to weak received power and strong adjacent network interference, especially in the prospective 6G ultra-dense deployment, cell-edge users are often prone to inferior service quality, which makes the development of communication and computation resource management techniques vital. Related works in this field include UAV-aided communication [8], [9] and computation [6], [12] networks. These works, however, do not capture the joint consideration of the communication and computation aspects, i.e., constraint-wise and variable-wise, e.g., see [10].…”

Base-Stations Up in the Air: Multi-UAV Trajectory Control for Min-Rate Maximization in Uplink C-RAN

“…They contain air-to-ground channel modeling [4], resource and trajectory optimization [5], and spectrum management [6]. Moreover, cellular networks need to be planned [7] as a new MAC layer design is required [8] and security issues need to be addressed [9]. In this paper, trajectory and resources are optimized jointly based on the users' location.…”