Cooperative molecular communication (MC) is a promising technology for facilitating communication between nanomachines in the Internet of Bio-Nano Things (IoBNT) field. However, the performance of IoBNT is limited by the availability of energy for cooperative MC. This paper presents a novel transmitter design scheme that utilizes molecule movement between reservoirs, creating concentration differences through the consumption of free energy, and encoding information on molecule types. The performance of the transmitter is primarily influenced by energy costs, which directly impact the overall IoBNT system performance. To address this, the paper focuses on optimizing energy allocation in cooperative MC for enhanced transmitter performance. Theoretical analysis is conducted for two transmitters. For scenarios with more than two users, a genetic algorithm is employed in the energy allocation to minimize the total bit error rate (BER). Finally, numerical results show the effectiveness of the proposed energy allocation strategies in the considered cooperative MC system.

翻译：协作分子通信（MC）是推动生物纳米物联网（IoBNT）领域中纳米机器间通信的一项有前景的技术。然而，IoBNT的性能受限于协作MC的能量可用性。本文提出了一种新颖的发射机设计方案，该方案利用分子在储层间的运动，通过消耗自由能产生浓度差异，并将信息编码于分子类型上。发射机的性能主要受能量成本影响，而能量成本直接影响整体IoBNT系统的性能。为此，本文聚焦于优化协作MC中的能量分配，以提升发射机性能。针对两台发射机的情况进行了理论分析。对于超过两个用户的情景，采用遗传算法进行能量分配，以最小化总误码率（BER）。最后，数值结果表明，在所考虑的协作MC系统中，所提出的能量分配策略具有有效性。