Fundamental Limits in MIMO Broadcast Channels

Hassibi, Babak; Sharif, M.

doi:10.1109/jsac.2007.070907

Cited by 53 publications

(34 citation statements)

References 49 publications

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“…Assuming that the transmit signal is generated based on orthogonal frequency division multiplexing (OFDM) including discrete Fourier transform (DFT)-spread OFDM [2], which is robust against multipath interference, and the channelization is solely obtained through capacity-achieving channel codes such as the turbo code and low-density parity check (LDPC) code, non-orthogonal user multiplexing forms superposition coding [6]. From an information-theoretic perspective, NOMA with a SIC is an optimal multiple access scheme from the viewpoint of the achievable multiuser capacity region, in the downlink [8]- [13] and in the uplink [14], [15]. In fact, the wider the gap between the multiuser capacity regions of NOMA and OMA, the more NOMA can contribute to the simultaneous enhancement of the system efficiency and cell-edge user experience.…”

Section: Introductionmentioning

confidence: 99%

Non-orthogonal Multiple Access (NOMA) with Successive Interference Cancellation for Future Radio Access

Higuchi

Benjebbour

2015

IEICE Trans. Commun.

585

346

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SUMMARYThis paper presents our investigation of non-orthogonal multiple access (NOMA) as a novel and promising power-domain user multiplexing scheme for future radio access. Based on information theory, we can expect that NOMA with a successive interference canceller (SIC) applied to the receiver side will offer a better tradeoff between system efficiency and user fairness than orthogonal multiple access (OMA), which is widely used in 3.9 and 4G mobile communication systems. This improvement becomes especially significant when the channel conditions among the non-orthogonally multiplexed users are significantly different. Thus, NOMA can be expected to efficiently exploit the near-far effect experienced in cellular environments. In this paper, we describe the basic principle of NOMA in both the downlink and uplink and then present our proposed NOMA scheme for the scenario where the base station is equipped with multiple antennas. Simulation results show the potential system-level throughput gains of NOMA relative to OMA.

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Section: Introductionmentioning

confidence: 99%

Non-orthogonal Multiple Access (NOMA) with Successive Interference Cancellation for Future Radio Access

Higuchi

Benjebbour

2015

IEICE Trans. Commun.

585

346

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“…In [24] it was shown that CSI at the transmitter is essential in achieving the capacity gains of a vector Gaussian BC and at high SNR, with perfect CSI at the BS, the sum capacity scales linearly with n provided that m > n. The capacity achieving transmission strategy is a combination of nonlinear DPC and linear precoding (beamforming). The difficulties in implementing a practical DPC encoder have led to most attention being focused on suboptimal linear precoding schemes.…”

Section: Main Results For the Downlink Of A Single-cell Networkmentioning

confidence: 99%

Turbo base stations

Aktas

Hanly

et al. 2011

Cooperative Cellular Wireless Networks

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IntroductionCellular communication systems provide wireless coverage to mobile users across potentially large geographical areas, where base stations (BSs) provide service to users as interfaces to the public telephone network. Cellular communication is based on the principle of dividing a large geographical area into cells which are serviced by separate BSs. Rather than covering a large area by using a single, high-powered BS, cellular systems employ many lower-powered BSs each of which covers a small area. This allows for the reuse of the frequency bands in cells which are not too close to each other, increasing mobile user capacity with a limited spectrum allocation.Traditional narrowband cellular systems require the cochannel interference level to be low. Careful design of frequency reuse among cells is then crucial to maintain cochannel interference at the required low level. The price of low interference, however, is a low frequency reuse factor: only a small portion of the system frequency band can be used in each cell. More recent wideband approaches allow full frequency reuse in each cell, but the cost of that is increased intercell interference. In both approaches, the capacity of a cell in a cellular network, with six surrounding cells, is much less than that of a single cell operating in an intercell interference-free environment. In this chapter, we survey an approach that allows the cell with neighbors to achieve essentially the same capacity as the interference-free cell.In a conventional cellular system, each mobile user is serviced by a single BS, except for the soft-handoff case -a temporary mode of operation where the mobile is moving between cells and is serviced by two base stations. A contrasting idea is to require each mobile station to be serviced by all BSs that are within its reception range. In this approach all the BSs in the cellular network are components of a single transceiver with distributed antennas, an approach known as "network multiple-input multiple-output (MIMO)."Cooperative Cellular Wireless Networks, eds.

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“…Some of these approaches are based on beamforming technique [31]. Moreover, in contrast to SU-MIMO systems, MU-MIMO systems require perfect CSI in order to achieve high throughput and to improve the multiplexing gain [16]. Finally, the performances of MU-MIMO and SU-MIMO systems in terms of throughput depend on the SNR level.…”

Section: Multi-user Mimo Systemmentioning

confidence: 99%