## 1 Introduction  
Three major use cases are generally adopted in fifth generation (5G) cellular networks: enhanced mobile broadband (eMBB), massive machine type communications (mMTC), and ultra-reliable low-latency communications (URLLC) [1]. In addition to these use cases, there is a global trend in the sixth generation (6G) to add a humanitarian aspect that consists of providing basic internet access for all, thus reducing the digital divide [1; 2; 3; 4]. The main targets for basic internet access are remote rural and underprivileged areas. Other areas, e.g., urban areas in general, have adequate communications infrastructure. With this infrastructure, they can enjoy boosted versions of the 5G use cases when 6G networks are deployed, like massive URLLC and mobile broadband reliable low latency communication (MBRLLC) [5]. Furthermore, 6G includes an \"intelligence\" layer that will be ubiquitous due to the deep synergy expected between artificial intelligence (AI) and 6G [6]. But this luxury will not soon be available in rural areas. In fact, various techniques have been investigated in the literature to provide connectivity to remote rural areas, especially for the backhaul. They were surveyed in [7] and include high altitude platforms and satellite links, for example. The reason is that traditional terrestrial solutions based on fiber optics or microwave towers might be too expensive to deploy, especially when road and transportation infrastructure is absent or inadequate in certain remote rural areas. Although the use of UAVs for fronthaul access has been considered in the literature [8; 9], it was assumed that the areas had adequate power and transport infrastructure. Moreover, it was assumed that a sufficient number of drones was available to provide continuous hovering over the area while other drones were recharging. In many rural areas, power availability is absent or intermittent, and inhabitants have to rely on local sources [10; 11]. Furthermore, distances between different areas/villages might be too large to allow continuous UAV hovering to be affordable. Therefore, local networks were adopted in certain villages, where a base station (BS) tower can provide local connectivity to the inhabitants without backhaul connectivity to the core network [12; 13]. Backhaul can be provided later when suitable solutions become available. Such solutions could include satellites and UAVs (easier to provide a backhaul link than continuous hovering over the village), but the simplest and most cost-effective approach is delay-tolerant networking (DTN). In fact, DTN has been investigated extensively in the literature, e.g., [14; 15], and relies mostly on moving vehicles and buses. More recent investigations have considered UAVs for DTN [16; 17], which are more suitable when the transport infrastructure does not allow frequent vehicle trips. The works in [7; 8; 9; 10; 11; 12; 13; 14; 15; 16; 17] have focused on using UAVs for connectivity. However, the use of UAVs for goods delivery has been gaining momentum in recent years [18; 19; 20; 21]. UAV-based delivery was mostly studied as a substitute of, or a complement to, vehicle-based delivery (using trucks and cars). In addition, the main motivation for using UAV-based delivery in these works was cost-effectiveness, in addition to meeting the increasingly large demand for online orders. In rural areas, additional challenges need to be overcome. In fact, suitable connectivity might not be available to perform online ordering, and the distances involved are generally far greater than last-mile delivery in cities. Finally, we note that although the use of UAVs for joint connectivity and goods delivery has received little attention in the literature, compared to the separate scenarios of UAVs for goods delivery only and UAVs for providing connectivity only, there have been some attempts at studying the joint scenario, e.g., [17].