Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  introduce a mathematical framework for computing the Average Symbol Error Probability (ASEP) of Spatial Modulation (SM) Multiple-Input-Multiple-Output (MIMO) wireless systems in the presence of multiple-access interference, Rayleigh fading, and additive noise. The interferers are assumed to be randomly distributed in the bi-dimensional plane according to a homogenous Poisson Point Process (PPP). By leveraging recent application of stochastic geometry to the analysis of random wireless networks,  provide a closed-form mathematical expression of the ASEP averaged over both the channel fading and the spatial locations of the interferers, which accounts for an arbitrary number of antennas at the transmitter (N t ) and at the receiver (N r ), as ll as for an arbitrary modulation order (M) and amplitude path-loss exponent (b > 1). The proposed mathematical framework unveils the following performance trends: i) by relying on the Nearest Neighbor (NN) approximation,  show that the ASEP is (almost) independent of N t  if M > 4; ii) the diversity order is independent of N r , but the coding gain increases with N r ; and iii) if the transmit-por of the interferers is independent of the transmit-por of the useful user, the diversity order is equal to 1/b. On the other hand, if the transmit-por of the interferers scales linearly with the transmit-por of the useful user, an error-floor emerges. The mathematical framework is substantiated through extensive Monte Carlo simulations and design guidelines from the performance trends are discussed.
['Wei Lu', 'Marco Di Renzo']
I am writing a research paper on a idea Performance analysis of Spatial Modulation MIMO in a poisson field of interferers
[{"from": "human", "value": "I am writing a research paper on a idea Performance analysis of Spatial Modulation MIMO in a poisson field of interferers"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  introduce a mathematical framework for computing the Average Symbol Error Probability (ASEP) of Spatial Modulation (SM) Multiple-Input-Multiple-Output (MIMO) wireless systems in the presence of multiple-access interference, Rayleigh fading, and additive noise. The interferers are assumed to be randomly distributed in the bi-dimensional plane according to a homogenous Poisson Point Process (PPP). By leveraging recent application of stochastic geometry to the analysis of random wireless networks,  provide a closed-form mathematical expression of the ASEP averaged over both the channel fading and the spatial locations of the interferers, which accounts for an arbitrary number of antennas at the transmitter (N t ) and at the receiver (N r ), as ll as for an arbitrary modulation order (M) and amplitude path-loss exponent (b > 1). The proposed mathematical framework unveils the following performance trends: i) by relying on the Nearest Neighbor (NN) approximation,  show that the ASEP is (almost) independent of N t  if M > 4; ii) the diversity order is independent of N r , but the coding gain increases with N r ; and iii) if the transmit-por of the interferers is independent of the transmit-por of the useful user, the diversity order is equal to 1/b. On the other hand, if the transmit-por of the interferers scales linearly with the transmit-por of the useful user, an error-floor emerges. The mathematical framework is substantiated through extensive Monte Carlo simulations and design guidelines from the performance trends are discussed."}]