Energy-Efficient Resource Allocation and User Scheduling for Collaborative Mobile Clouds With Hybrid Receivers

Abstract

Abstract-In this paper, we study the resource allocation and user scheduling algorithm for minimizing the energy cost of data transmission in the context of OFDMA collaborative mobile cloud (CMC) with simultaneous wireless information and power transfer (SWIPT) receivers. The CMC, which consists of several collaborating mobile terminals (MTs) offers one potential solution for downlink content distribution and for the energy consumption reduction. Previous work on the design of CMC system mainly focused on the cloud formulation or EE investigation, while how to allocate the radio resource and schedule user transmission lacks attention. With the objective to minimize the system energy consumption, an optimization problem which jointly considers subchannel assignment, power allocation and user scheduling has been presented. We propose different algorithms to address the formulated problem based on the convex optimization technique. Simulation results demonstrate that the proposed user scheduling and resource allocation algorithms can achieve significant EE performance.

On-Site and External Energy Harvesting in Underground Wireless

“…Extra energy from SUs can be utilized to transfer energy between PUs. D Collaborative Mobile Clouds (CMC): CMC is a cooperative way of sharing multimedia content in mobile computing in peer-to-peer manner [86]. In contrast to traditional cloud computing, CMC consist of mobile terminals that collaborate and cooperate to complete a task in a distributed manner.…”

Energy Efficiency Optimization With SWIPT in MIMO Broadcast Channels for Internet of Things

“…U R (Q, α)−β * U T (Q, α) in the considered case, corresponding to the original optimization problem with an objective function in fractional form, such that both problems share the same optimal solution. In addition, the optimality guarantees the equality in (24), and thus we could apply this equality condition to verify the optimality of the solution. Therefore, we develop a resource allocation strategy for the equivalent objective function (subtractive form) whilst satisfying the condition stated in Proposition 3.…”

“…Thanks to the rapid resurgence in green radio (GR) research, EE is nowadays considered a fundamental performance metric in the design and deployment of wireless networks [18]. In addition to the many works on the EE optimization problem for conventional communication setups [19], the maximization of EE has been recently considered in the context of SWIPT systems [20]- [24]. The work in [20] provided a resource allocation algorithm for OFDMA-based SWIPT systems considering a PS-based receiver with continuous sets of PS ratios.…”

How to make key 5G wireless technologies environmental friendly: A review

“…Demonstrated by simulations, green scheduling achieved 90% power reduction in the work of Héliot et al and 94.2% EE network wide compared to traditional scheduling . Although the aforementioned works are capable of pushing 5G communication into the green domain, a recent proposal focusing on RA and user scheduling simultaneous wireless information and power transfer (SWIPT) receiver is an ideal option for green 5G communication . This proposal is capable of simultaneously achieving EE and SE using the same receiver architecture.…”