Transmission strategies for joint wireless information and energy transfer in a two-user MIMO interference channel

Abstract

This paper investigates transmission strategies for joint wireless information and energy transfer in a two-user MIMO interference channel, in which each receiver either decodes the incoming information data (information decoding, ID) or harvests the RF energy (energy harvesting, EH) to operate with a potentially perpetual energy supply. In the two-user interference channel, we have four different scenarios according to the receiver mode -(ID1, ID2), (EH1, EH2), (EH1, ID2), and (ID1, EH2). For single-operation modes such as (ID1, ID2) and (EH1, EH2), the optimal transmission strategies achieving either maximum information bit rate or maximum harvested energy are derived -iterative water filling and rank-one energy beamforming. For (EH1, ID2), and (ID1, EH2), the achievable rate-energy (R-E) tradeoff region is investigated when one of the transmitters takes a rank-one energy beamforming and the other transmitter takes "water-filling-like" approach. Here, for the rank-one energy beamforming, the transmitter can take two different strategies -maximum energy beamforming (MEB) and minimum leakage beamforming (MLB). Finally, a new rank-one energy beamforming strategy -signal-to-leakage-and-energy ratio (SLER) maximization beamforming -is proposed.

Practical Non-Linear Energy Harvesting Model and Resource Allocation for SWIPT Systems

“…Moreover, [36] and [37] focused on transmit beamforming design in multiple-input single-output (MISO) SWIPT systems for separated and power splitting receivers, respectively. Additionally, the concept of SWIPT was included in MIMO system architectures in [41,42]. The optimization of beamformers with the objective to maximize the sum of total harvested energy under the minimum required signalto-interference-plus-noise ratio (SINR) constraints for multiple information receivers was considered in [38].…”

Wireless Powered Relaying Networks Under Imperfect Channel State Information: System Performance and Optimal Policy for Instantaneous Rate

“…In addition, energy harvesting is developed in multi-antenna systems, i.e. some studies on Multiple-Input Multiple-Output (MIMO) were conducted [17][18][19]. For example, in [18], two-hop MIMO AF relay communication systems with simultaneous WIPT at the multi-antenna EH relay were considered.…”

Energy cooperation for throughput optimization based on save-then-transmit protocol in wireless communication system

“…Watfa et al [16] proposed storing and forwarding techniques for multi-hop wireless energy transfer to improve energy transfer efficiency, i.e., the main power source prefer to transfer energy to the nearest nodes till they are fully charged. Park and Clerckx [17,18] investigated joint wireless information and energy transfer in a twouser MIMO interference channel, where each receiver chooses to either decodes the incoming information signal or harvests energy. Krikidis et al and Nasir et al [19,20] studied a three-node cooperative network scenario.…”

“…In [14], a novel iterative resource allocation algorithm was proposed to maximize the energy efficiency of OFDM downlink systems. In [15][16][17][18][19][20], a switching mode between energy harvesting and data relaying was adopted for receiver node to solve the potential limitation that practical circuits are not yet able to harvest energy and decode information at the same time. In [15], an optimal mode switching rule was proposed to enable the transmitter node to replenish energy opportunistically from the unintended interference and/or the intended signal sent by the transmitter node, and optimizes the outage probability.…”

“…In addition, wireless energy transfer via radio signals is another solution to power the wireless nodes [9][10][11][12][13][14][15][16][17]. In [9][10][11][12], information transmission and energy transfer were processed simultaneously.…”