User clustering and resource allocation in downlinkCoMP with NOMA

In coordinated multipoint (CoMP) system, the cell-edge performance is improved by minimizing inter-cell interference (ICI) through coordination of resources. Additionally, the non-orthogonal multiple access (NOMA) has been introduced as a promising candidate to further enhance the throughput of next generation wireless communication systems. NOMA allows multiple users to access the wireless channel in the same bandwidth simultaneously, however at different transmit power. In joint transmission NOMA in CoMP (JT-NOMA-CoMP), multiple cells jointly transmit data to users using the same time-frequency resources, which significantly improves the system performance. In this paper, we present a low-complexity user clustering and resource allocation strategy in downlink JP-NOMA-CoMP system with multiple antenna. Based on computer simulation, we show that the proposed approach outperforms the conventional JP-OMA-CoMP and single antenna JP-NOMA-CoMP in terms of achievable sum rate

MCS MAP FOR LINK-LEVEL SIMULATION OF TWO-USER PD-NOMA SYSTEM

Power Domain Non-Orthogonal Multiple Access (PD-NOMA) is a promising technique for future wireless networks. Currently, the growing number of researchers are addressing PD-NOMA issues. The great number of known results are based on the Shannon capacity theorem, assuming infinite code block length. However, they cannot be achieved in practice when modulation and coding schemes (MCS) with finite code block length are used. To solve this problem, we propose an approach which allows utilizing LTE MCSs in the link-level simulation of PD-NOMA. In this paper, we present an adaptive MCS map for a PD-NOMA system with two users, considering non-perfect Serial Interference Cancelation (SIC). In addition, we have developed a map for power allocation coefficients (PAC). The max-sum rate criterion and 10%-Block Error Rate constraint are utilized. The MCS and PAC maps allow access point to jointly and adaptively select MCS parameters for the users depending on their SNR values. The proposed MCS maps can be used in a link-level simulation of the PD-NOMA system to near-practical performance