Energy efficient uplink resource allocation in a heterogeneous wireless medium

Abstract

This paper investigates energy efficient uplink communications for battery-constrained mobile terminals (MTs). We consider a heterogeneous wireless medium where MTs communicate with base stations (BSs) and access points (APs) of different networks with overlapped coverage. Unlike the existing research, we develop a joint bandwidth and power allocation framework that maximizes energy efficiency for a set of MTs, in different service areas, with best effort service and multi-homing capabilities. The problem formulation captures the heterogeneity of the medium, in terms of different service areas, channel conditions, available resources at BSs/APs of different networks, and different available maximum power at the MTs. In addition, the framework is implemented in a decentralized manner which is desirable in a case that different networks are operated by different service providers. Simulation results are presented to demonstrate the performance of the proposed framework.Index Terms-Energy efficiency, heterogeneous wireless medium, multi-homing resource allocation, joint bandwidth and power allocation, fractional programming.

Uplink Decentralized Joint Bandwidth and Power Allocation for Energy-Efficient Operation in a Heterogeneous Wireless Medium

“…, M} performs uplink multihoming video transmission in the geographical region. 1 Let M ns ⊆ M denote the subset of MTs which lie in the coverage area of network n BS/AP s. Using the multiple radio interfaces and through the multi-homing capability, each MT can communicate with multiple BSs/APs simultaneously. The bandwidth allocated on the uplink from network n BS/AP s to 1 The video packets streamed among the multiple radio interfaces in transmission can be achieved using a packet scheduling algorithm as in [5].…”

“…T HE PAST decade has witnessed significant advances in the design of mobile terminals (MTs) and the offered communication services for mobile users [1]. Specifically, MTs are currently equipped with processing and display capabilities that enable them to support voice, video, and data calls.…”

Energy-Efficient Resource Allocation for D2D Communications in Cellular Networks

“…In fact, development of energy-efficient resource allocation algorithms has been considered for 3GPP LTE systems [11], [12]. In general, downlink EE would be less critical than the uplink EE since BSs can have access to various energy sources while user devices are supported by energylimited batteries [13], [14].…”

Energy and spectrum efficiency trade-off for Green Small Cell Networks

“…In this trend, the EE-maximisation problem in an uplink of HetNets is analytically solved for a single user case under minimum target rate and maximum transmission power constraints in [5]. A joint bandwidth and power allocation scheme to optimise EE for a set of users within the heterogeneous networks is proposed in [6]. This scheme is implemented for the multi-user system in a distributed manner in [6].…”

“…A joint bandwidth and power allocation scheme to optimise EE for a set of users within the heterogeneous networks is proposed in [6]. This scheme is implemented for the multi-user system in a distributed manner in [6]. A joint BS association and power control scheme which intent to satisfy the user's target signal-to-interference-plus-noise ratio (SINR) for the uplink of a large-scale HetNets is proposed in [7].…”