Performance Evaluation of Downlink Coordinated Multipoint Joint Transmission under Heavy IoT Traffic Load

Table 1

Summarized related work features and advantages.

Citations	Purpose	Application feature	Advantage
Ouyang et al. [13]	CoMP in LTE-advanced	Cell-edge user experience in homogeneous and heterogeneous networks	Enhance the throughput in downlink connectivity by 8%
Touati et al. [14]	CoMP for multipoint cooperative amongst cell-edge users	5G system level in uplink and downlink communication	Enhance the throughput performance in macromacro and macropicocells
Chu et al. [15]	Joint CoMP in dense IoT	Downlink model in hyper IoT dense traffic	Enhancement in traffic pattern by18%
Zitoune et al. [16]	JT-CoMP OFDMA	The distributed density of nodes in eNB network	Tolerant the spectrum efficiency computing for the IoT nodes
Ali et al. [17]	Optimum aggregation of IoT data network	For cluster-based IoT by utilizing the heuristic-based ILP technique	Up to 40% throughput enhancement with acceptable ILP complexity
Dai et al. [18]	DL (JT-NOMA-CoMP) model in multiple cell networks	Distributed power allocation for CoMP orthogonal multiaccess (CoMP-OMAs) system	Enhance the spectrum efficiency by 35%
Al-Eryani et al.[19]	NOMA-CoMP-based IoT nodes for interference mitigation	IoT based on grouping APs in a cluster	Improves the total transmit power (TP) for AP clusters
Chen et al.[20]	Generalized JT-CoMP with NOMA	UE outage probability and outage capacity with various cooperative eNBs	Enhance the spectral efficiency
Rehman et al. [21]	Selective transmissions (STs) and COMP-NOMA	Cell-edge user equipment- (UEs-) based NOMA	Outperforms of ST-NOMA scheme and high system throughput