Heterogeneous Multi-Tier Networks: Improper Signaling For Joint Rate-Energy Optimization

TL;DR

This paper explores the joint optimization of rate and energy in heterogeneous multi-tier networks using improper Gaussian signaling, full-duplex operation, and RF energy harvesting, addressing interference and energy constraints.

Contribution

It introduces a comprehensive framework for joint rate-energy optimization in multi-antenna heterogeneous networks considering impairments and improper signaling.

Findings

Improper signaling enhances energy harvesting efficiency.

Trade-offs between achievable rate and harvested energy are characterized.

Numerical results show energy harvesting can improve overall network performance.

Abstract

Wireless nodes in future communication systems need to overcome three barriers when compared to their transitional counterparts, namely to support significantly higher data rates, have long-lasting energy supplies and remain fully operational in interference-limited heterogeneous networks. This could be partially achieved by providing three promising features, which are radio frequency (RF) energy harvesting, improper Gaussian signaling and operating in full-duplex communication mode, i.e., transmit and receive at the same time within the same frequency band. In this paper, we consider these aspects jointly in a multi-antenna heterogeneous two-tier network. In this network, the users in the femto- cell are sharing the scarce resources with the cellular users in the macro-cell and have to cope with the interference from the macro-cell base station as well as the transmitter noise and residual self- interference (RSI) due to imperfect full-duplex operation. Interestingly enough, while these impairments are detrimental from the achievable rate perspective, they are beneficial from the energy harvesting aspect as they carry RF energy. In this paper, we consider this natural trade-off jointly and propose appropriate optimization problems for beamforming and optimal resource allocation. Moreover, various receiver structures are employed for both information detection (ID) and energy harvesting (EH) capabilities. The paper aims at characterizing the trade-off between the achievable rates and harvested energies. Rate and energy maximization problems are thoroughly investigated. Finally, the numerical illustrations demonstrate the impact of energy harvesting on the achievable rate performance.