P2C-MUX: Multiplexing with Power and Polarity Coding for Communication Efficiency

Authors: Zhao Li, Lijuan Zhang, Zhangbo Gao, Kang G. Shin, Hanqing Ding, Jia Liu, Shen Qian, Yicheng Liu, Zheng Yan

Abstract

As wireless communication systems evolve toward beyond fifth-generation (B5G) and sixth-generation (6G), achieving ultra-high data rates and accommodating massive connectivity present critical challenges for the development of wireless technologies. To meet these challenges, it is important to develop low-cost and high-efficiency multiplexing mechanisms to serve a large number of mobile subscribers with concurrent data streams. We propose a novel scheme, called Power and Polarity Coding Assisted Multiplexing (P2C-MUX), to enhance communication efficiency by leveraging existing signals to enable additional data transmissions, without increasing power and antenna needs. P2C-MUX first recognizes that the interactions of wireless signals can produce an effective signal for data transmission and then utilizes existing communication signals (ECSs) to achieve additional data transmissions. Specifically, a transmitter (Tx) serves its subscriber (i.e., original receiver (Rx)) with multiple ECSs, while simultaneously transmitting to an additional Rx using P2C-MUX. To achieve this, the Tx adjusts the transmit power and polarity of the ECSs such that these modified/coded ECSs can superimpose to generate desired signals at the additional Rx. In essence, P2C-MUX leverages the interactions among ECSs to enable data transmissions for the additional Rx while maintaining the communication performance of the original Rx, thus enhancing multiplexing efficiency. Furthermore, we extend P2C-MUX to more generalized scenarios involving arbitrary numbers of ECSs, additional users, and additional transmissions per user, as well as various modulation schemes, thus broadening its applicability. We utilize (1) the Universal Software Radio Peripheral (USRP) platform for experimental validation of P2C-MUX’s feasibility, and (2) comprehensive MATLAB simulations to demonstrate its effectiveness in improving system spectral efficiency (SE).

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