Optimal and sub-optimal iterative cross-layer energy efficient schemes for CR MIMO systems with antenna selection

Okumu, Elizabeth M.; Dlodlo, Mqhele E.

doi:10.1109/eurocon.2017.8011078

Cited by 3 publications

(3 citation statements)

References 15 publications

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“…Therefore, we consider introducing MIMO technology into the CR system to improve its performance. In the literature, most of the research on energy efficiency and user capacity of MIMO-assisted CR networks can be divided into two categories: the traditional CR-MIMO network [25][26][27][28][29][30][31][32][33][34][35] and the network combining CR-MIMO with NOMA (CR-MIMO-NOMA) Technology [36][37][38][39][40][41].…”

Section: Related Workmentioning

confidence: 99%

“…In the traditional CR-MIMO network, spectrum sensing and energy harvesting technology have been the main research directions in recent years [30][31][32][33][34][35], while the EE and user capacity were mainly studied in earlier years [25][26][27][28][29]. The problems of EE optimization of a MIMO-CR system with multiple secondary receivers for the cases of single and multiple data streams was addressed in References [25], respectively.…”

Section: Related Workmentioning

confidence: 99%

“…Under the constraints of power and interference, the energy efficiency of the MIMO spectrum sharing cognitive radio system is studied in Reference [28]. In Reference [29], a method of antenna selection for a spatial multiplexing CR-MIMO system based on a linear receiver, and a cross-layer EE measurement method based on user capacity are proposed.…”

Section: Related Workmentioning

confidence: 99%

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Energy Efficiency and User Capacity Optimization of Cognitive MIMO Systems Via the SCMA-Based Nonorthogonal Time Slot Allocation

Zhang

et al. 2020

Symmetry

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This paper investigates the energy-efficient communications and user capacity in the cognitive multiple input multiple output (MIMO) symmetric system of underlay mode. The advantage of the improved energy efficiency provided by the orthogonal slot allocation for time division multiple access (TDMA) has a side effect of restricting the number of users accessing the system. To tackle the above problem, this paper proposes a nonorthogonal time resource allocation method with sparse code multiple access (SCMA), which allows one to convert the orthogonal slot units of TDMA into non-orthogonal shared slot units for multiple secondary users (SUs). The method of adding virtual users is adopted, wherein each SU is treated as multiple SUs who occupy a shared unit, to facilitate the packet access. Finally, the greedy algorithm is applied to optimize the time slot allocation of unoccupied shared slot units. The simulation results show that SCMA-based nonorthogonal slot allocation can reduce not only the energy consumption by nearly 40%, but also the average power interference from SUs to primary users by nearly 2 dB if their number is relatively high. Moreover, in the case of satisfying the rate requirement of the users, the system user capacity increased by more than 50%.

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